Article(id=1308459367825699505, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1308459188263342104, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2025-0481, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1745596800000, receivedDateStr=2025-04-26, revisedDate=1750435200000, revisedDateStr=2025-06-21, acceptedDate=null, acceptedDateStr=null, onlineDate=1789890623289, onlineDateStr=2026-09-20, pubDate=1757606400000, pubDateStr=2025-09-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789890623289, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789890623289, creator=13701087609, updateTime=1789890623289, updator=13701087609, issue=Issue{id=1308459188263342104, tenantId=1146029695717560320, journalId=1189982191388893191, year='2025', volume='60', issue='9', pageStart='2649', pageEnd='2912', issueExtLink='null', onlineDate='null', pubDate='1757606400000', pubDateStr='2025-09-12', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789890580478, creator='13701087609', updateTime=1789893297273, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308470583390401503, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1308459188263342104, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308470583390401504, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1308459188263342104, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=2863, endPage=2875, ext={EN=ArticleExt(id=1308459368043803314, articleId=1308459367825699505, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activities, columnId=1190335348761793317, journalTitle=Acta Pharmaceutica Sinica, columnName=Original Articles, runingTitle=null, highlight=null, articleAbstract=

This study aimed to screen and identify bioactive peptides from Tabanus, characterize their structural and functional features, and provide a theoretical basis for the development of novel natural peptide-based therapeutics. Initially, bioactive peptides were extracted using phosphate buffered saline (PBS), followed by protein precipitation with cold ethanol and purification via solid-phase extraction (SPE). Peptide identification and sequence analysis were performed based on LC-MS/MS data using PEAKS Studio software. Peptide activity potential was then predicted using Peptide Ranker, and a comprehensive bioinformatics analysis was conducted to evaluate key functional characteristics, including active sites, solubility, stability, toxicity, and intestinal absorption capacity. A total of 10 378 peptide sequences were identified, with lengths predominantly ranging from 6 to 26 amino acids. Most peptides had a molecular weight below 1 500 Da, and 97.49% were below 2 500 Da. Based on Peptide Ranker score (≥ 0.80), 95 candidate bioactive peptides were selected. Among them, 59 peptides were identified as having neuroregulatory potential via the BIOPEP-UWM database, due to the presence of key functional residues. Bioinformatics prediction further revealed that among these 59 peptides, 29 exhibited good water solubility, 22 were predicted to be stable, 43 had favorable intestinal absorption potential, and none were toxic, highlighting their suitability for further functional studies and therapeutic development. Molecular docking analysis demonstrated that FPPRDF, the highest-ranking peptide according to Peptide Ranker, formed stable interactions with dipeptidyl peptidase Ⅲ (DPP Ⅲ), suggesting its potential neuroregulatory and antitumor activities. Overall, this study established a systematic and efficient workflow for the screening and functional prediction of bioactive peptides from natural sources. The proposed strategy provides robust technical support for subsequent experimental validation, mechanistic studies, and the development of novel peptide-based drugs.

, authors=Zhi-xing HUANG1, Wei-ting ZHONG2, Shi-yu SU1, Xin-qi DENG3, Heng CHEN1, Qin-ling RAO1, Zi-yi HU1, Hao LIU1, Hai-tao GUO1, Mu-xuan LI4, Lu-ni XU5, Tao MA1, *, Chun-guo WANG6, *, authorsList=Zhi-xing HUANG, Wei-ting ZHONG, Shi-yu SU, Xin-qi DENG, Heng CHEN, Qin-ling RAO, Zi-yi HU, Hao LIU, Hai-tao GUO, Mu-xuan LI, Lu-ni XU, Tao MA, Chun-guo WANG, authorCompany=null, correspAuthors=Tao MA, Chun-guo WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2025 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308459371936117441, articleId=1308459367825699505, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究, columnId=1190335348896011050, journalTitle=药学学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=

本研究旨在从虻虫中筛选并鉴定具有潜在生物活性的肽类分子, 解析其结构特征与功能属性, 为新型天然肽类药物的研发提供理论基础。首先使用磷酸缓冲盐溶液(phosphate buffered saline, PBS) 提取虻虫中生物活性肽, 采用冷乙醇沉淀蛋白质并进行固相萃取纯化(solid-phase extraction, SPE)。经LC-MS/MS获得原始质谱数据后, 利用PEAKS Studio软件进行肽段识别和序列分析。随后使用Peptide Ranker预测肽段活性潜力, 进一步结合多种生物信息学工具, 对肽段功能特性进行分析, 包括活性位点、水溶性、稳定性、毒性及肠道吸收能力等指标。最终, 结合肽段结构信息开展分子对接分析。本研究共鉴定出10 378条虻虫肽段, 长度集中于6~26个氨基酸, 大部分肽段相对分子质量在1 500 Da以下, 低于2 500 Da的肽段占97.49%。通过Peptide Ranker筛选出95条评分≥ 0.80的候选活性肽段, 进一步借助BIOPEP-UWM确定了59条具有神经调节作用关键残基的肽段。生物信息学预测显示, 这59条肽段中29条水溶性良好、22条稳定性较高、43条具备较好的肠道吸收潜力, 且均无毒, 为后续功能验证及活性肽开发提供了理论依据。在此基础上, Peptide Ranker评分最高的多肽FPPRDF与二肽基肽酶Ⅲ (dipeptidyl peptidase Ⅲ, DPP Ⅲ) 进行分子对接时稳定结合, 提示其可能具有神经调节与抗肿瘤作用。本研究构建了一套系统、高效的活性肽筛选与功能预测流程, 能够从天然资源中快速识别具有药用潜力的生物活性肽。该策略为后续的功能验证、作用机制解析及新型肽类药物开发提供了技术支撑。

, authors=黄智兴1, 仲伟婷2, 苏诗宇1, 邓欣祺3, 陈恒1, 饶沁玲1, 胡子怡1, 刘浩1, 郭海涛1, 李沐萱4, 徐禄妮5, 马涛1, *, 王春国6, *, authorsList=黄智兴, 仲伟婷, 苏诗宇, 邓欣祺, 陈恒, 饶沁玲, 胡子怡, 刘浩, 郭海涛, 李沐萱, 徐禄妮, 马涛, 王春国, authorCompany=null, correspAuthors=马涛, 王春国, authorNote=

#共同第一作者.

作者贡献:

黄智兴、仲伟婷共同完成实验设计、数据分析及论文撰写; 苏诗宇、陈恒、饶沁玲负责样品制备、LC-MS/MS实验及肽段识别分析; 郭海涛、李沐萱、徐禄妮、胡子怡参与生物信息学功能预测及候选肽筛选; 刘浩协助进行分子对接及结构分析; 马涛、王春国、邓欣祺负责项目指导、研究方案把关与论文修改定稿。

, correspAuthorsNote=
马涛,E-mail:
王春国,E-mail:
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postcode=null, companyName=null, departmentName=null, remark=6北京中医药大学北京中医药研究院, 北京 100029)])], figs=[ArticleFig(id=1308498985573253805, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=EN, label=null, caption=null, figureFileSmall=x2vTmlb+2JZTxwqBDxgGRg==, figureFileBig=72rD2ivay0gHOwziGBHlNw==, tableContent=null), ArticleFig(id=1308498985644556974, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=CN, label=Fig.1, caption= Total ion chromatograms of Tabanus bivittatus polypeptides. A: Tabanus bivittatus polypeptide sample 1; B: Tabanus bivittatus polypeptide sample 2, figureFileSmall=x2vTmlb+2JZTxwqBDxgGRg==, figureFileBig=72rD2ivay0gHOwziGBHlNw==, tableContent=null), ArticleFig(id=1308498985745220271, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=EN, label=null, caption=null, figureFileSmall=bYc23a7xKENH396urCf4+Q==, figureFileBig=yIveU7YZ0PcnUXAPvCq1DA==, tableContent=null), ArticleFig(id=1308498985812329136, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=CN, label=Fig.2, caption= Peptide sequence analysis based on MS/MS spectra. A: Peptide sequence analysis from DB search results. The MS/MS spectrum shows the b-ion and y-ion fragments of the peptide sequence (KTFDKDGLLIDGEK); B: Peptide sequence analysis from de novo sequencing results. The MS/MS spectrum shows the b-ion and y-ion fragments of the peptide sequence (VLSAADKGVNK), figureFileSmall=bYc23a7xKENH396urCf4+Q==, figureFileBig=yIveU7YZ0PcnUXAPvCq1DA==, tableContent=null), ArticleFig(id=1308498985879438001, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=EN, label=null, caption=null, figureFileSmall=GnjuHFAoi4X4vYXILeA5sg==, figureFileBig=qmD0tsk5XrEXI7EZDTPb3A==, tableContent=null), ArticleFig(id=1308498985942352562, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=CN, label=Fig.3, caption= Frequency of neuroactive peptide functional sites identified in Tabanus bivittatus, figureFileSmall=GnjuHFAoi4X4vYXILeA5sg==, figureFileBig=qmD0tsk5XrEXI7EZDTPb3A==, tableContent=null), ArticleFig(id=1308498986009461427, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=EN, label=null, caption=null, figureFileSmall=+Ge/bUcYswc2SbK1QN6JZA==, figureFileBig=+DXeC/5rhe5qC8fNYUZ2Dg==, tableContent=null), ArticleFig(id=1308498986084958900, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=CN, label=Fig.4, caption= Schematic illustration of the molecular docking between peptide FPPRDF and the DPP Ⅲ protein, showing the binding site, figureFileSmall=+Ge/bUcYswc2SbK1QN6JZA==, figureFileBig=+DXeC/5rhe5qC8fNYUZ2Dg==, tableContent=null), ArticleFig(id=1308498986152067765, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
No.Peptide sequencePeptide rank scoreValid sequenceBioactive peptide nameToxicitySolubilityInstabilityADMETLengthMassAbundance rank
1FPPRDF0.972 134DFGCP Ⅱ inhibitorNon-toxicGood47.40HIA-6777.380 950
PRDPP Ⅲ inhibitor
2PPPPPPPPPK0.968 593PPKκ-Casein-derived peptideNon-toxicGood163.08HIA-101 019.580 42
PPPKDCP inhibitor
3APPPPPPPPP0.960 917APTPP Ⅱ inhibitorNon-toxicPoor182.34HIA+10962.522 523
APPPI inhibitor
4GFPFDR0.958 934GFAAP inhibitorNon-toxicGood80.53HIA-6737.349 736
GF, PFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
5GFPGGFPGGA0.948 028GFAAP inhibitorNon-toxicPoor63.71HIA+10862.397 39
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
PGAnti-thrombotic peptide
PGPAM inhibitor
PGPEP inhibitor
GGENK inhibitor
GAAC inhibitor
GGF, GGACAAP inhibitor
6FPGGGP0.946 9PG, GPAnti-thrombotic peptideNon-toxicPoor80.57HIA+6530.248 824
GG, GPENK inhibitor
PGPAM inhibitor
PG, GPPEP inhibitor
7WPPLNP0.946 177PLXaa-Pro AP inhibitorNon-toxicPoor35.63HIA+6722.375 110
8GGFGGGF0.942 854GG, FGENK inhibitorNon-toxicPoor61.46HIA+7597.254 720
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GF, GGFTPP Ⅱ inhibitor
GGFCAAP inhibitor
9FGGGFG0.939 998FG, GGENK inhibitorNon-toxicPoor49.47HIA+6540.233 230
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GF, GGFTPP Ⅱ inhibitor
GGFCAAP inhibitor
10APPPPPPKPA0.936 869PPKκ-Casein-derived peptideNon-toxicGood136.28HIA-10967.549 13
PPPKDCP inhibitor
APTPP Ⅱ inhibitor
APPPI inhibitor
11PPPPPPKPA0.933 505PPKκ-Casein-derived peptideNon-toxicGood136.28HIA+9896.51250
PPPKDCP inhibitor
12APPPPPPKPAAP0.922 726AP, AATPP Ⅱ inhibitorNon-toxicGood128.91HIA-121 135.638 938
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
AACAAP inhibitor
13APPPPPPKPAAPA0.918 189AP, APA, AA, AAPATPP Ⅱ inhibitorNon-toxicGood131.28HIA-131 206.67650
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
AACAAP inhibitor
14APGPINF0.917 894PGP, PG, GPPEP inhibitorNon-toxicGood136.77HIA+7714.370 122
GPENK inhibitor
PGPAM inhibitor
PGP, PG, GPAnti-thrombotic peptide
APTPP Ⅱ inhibitor
APPPI inhibitor
15AAPPPPPPKPA0.910 258AA, APTPP Ⅱ inhibitorNon-toxicPoor14.61HIA-111 038.586 24
AACAAP inhibitor
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
16GPPGPMGPA0.908 978PGP, PG, GPPEP inhibitorNon-toxicGood124.8HIA+9779.363 629
PGP, PG, GPAnti-thrombotic peptide
GP, GPAENK inhibitor
PGPAM inhibitor
PPGPDCP inhibitor
17RPPPPR0.904 961RPAnti-injury peptideNon-toxicPoor43.31HIA-6718.423 846
RPENK inhibitor
RPNeurolysin inhibitor
PRDPP Ⅲ inhibitor
18KDPSFDPNFG0.904 686FGENK inhibitorNon-toxicGood124.17HIA-101 122.498 247
19GFGLFD0.902 149FGENK inhibitorNon-toxicGood25.57HIA+6654.301 328
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
20PPPPPKPA0.896 498PPKκ-Casein-derived peptideNon-toxicPoor28.9HIA+8799.459 227
PPPKDCP inhibitor
21VGKFPF0.896 363PFDPP Ⅲ inhibitorNon-toxicGood119.7HIA+6693.384 913
22SIFGNGF0.890 525FGENK inhibitorNon-toxicPoor44.23HIA+7740.349 331
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
GFAAP inhibitor
23APAPPP0.885 383APPPI inhibitorNon-toxicPoor-25.03HIA+6548.295 819
AP, APATPP Ⅱ inhibitor
24GIPDYDHPFG0.884 643DYPeptide modulation of ion fluxNon-toxicPoor168.83HIA+101 116.487 550
HP, PFDPP Ⅲ inhibitor
FGENK inhibitor
25GVPAPF0.881 908PFDPP Ⅲ inhibitorNon-toxicGood30.15HIA+6586.311 516
APTPP Ⅱ inhibitor
APPPI inhibitor
26GPPSHDFHEILM0.881 216GPPEP inhibitorNon-toxicPoor136.73HIA+121 378.633 98
GPAnti-thrombotic peptide
GPENK inhibitor
DFGCP Ⅱ inhibitor
HEGCP inhibitor
ILNeuropeptide
27DDMGFG0.879 153DDGCP Ⅱ inhibitorNon-toxicPoor67.08HIA+6640.216 214
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
GFAAP inhibitor
FGENK inhibitor
28RDPILFP0.873 158ILNeuropeptideNon-toxicGood8.33HIA+7856.480 750
29GPSGKLW0.867 823GPPEP inhibitorNon-toxicGood63.6HIA+7743.396 643
GPAnti-thrombotic peptide
GPENK inhibitor
LWDPP Ⅲ inhibitor
30FSGSFG0.867 148FGENK inhibitorNon-toxicPoor45.66HIA-6600.254 318
31PSPAGPIGGIP0.863 189GPPEP inhibitorNon-toxicPoor8.33HIA+11961.523 342
GPAnti-thrombotic peptide
GPENK inhibitor
32VPFDPRFPN0.856 118PF, PR, RFDPP Ⅲ inhibitorNon-toxicPoor84.94HIA+91 087.54537
33VWTRPW0.845 733RPAnti-injury peptideNon-toxicGood78.42HIA+6843.439 134
RPNeurolysin inhibitor
RPENK inhibitor
34GPPVFAKL0.842 499GPPEP inhibitorNon-toxicPoor10.58HIA+8827.490 550
GPAnti-thrombotic peptide
GP, AKENK inhibitor
VFTPP Ⅱ inhibitor
FAAC inhibitor
FADPP Ⅲ inhibitor
35FIDNIFR0.842 058FRDPP Ⅲ inhibitorNon-toxicPoor46.29HIA+7843.439 139
36GPPSHDFHEILMK0.841 921GPPEP inhibitorNon-toxicGood71.34HIA+131 506.728 95
GPAnti-thrombotic peptide
GPENK inhibitor
DFGCP Ⅱ inhibitor
HEGCP inhibitor
ILNeuropeptide
37APGPINFTQL0.836 244APTPP Ⅱ inhibitorNon-toxicGood62.69HIA+101 056.560 426
APPPI inhibitor
PGP, PG, GPAnti-thrombotic peptide
GPENK inhibitor
PGPAM inhibitor
PGP, PG, GPPEP inhibitor
38PRPANF0.835 643PRDPP Ⅲ inhibitorNon-toxicPoor5.69HIA+6700.365 750
RPAnti-injury peptide
RPNeurolysin inhibitor
RPENK inhibitor
39GFGLFE0.834 108GFDPP Ⅲ inhibitorNon-toxicGood34.92HIA+6668.31741
GFTPP Ⅱ inhibitor
GFAAP inhibitor
FGENK inhibitor
FEGCP inhibitor
40QIFRPDNFVFG0.829 491FRDPP Ⅲ inhibitorNon-toxicPoor8.33HIA+111 338.67240
RPAnti-injury peptide
RPNeurolysin inhibitor
VFTPP Ⅱ inhibitor
VFCalpain-1 inhibitor
RP, FGENK inhibitor
41DGPSGKLW0.828 314GPPEP inhibitorNon-toxicPoor6.08HIA+8858.423 544
GPAnti-thrombotic peptide
GPENK inhibitor
LWDPP Ⅲ inhibitor
42APPAPAPP0.825 575AP, APATPP Ⅱ inhibitorNon-toxicGood41.2HIA+8716.385 750
APPPI inhibitor
PPAPDCP inhibitor
43GLPPAP0.825 471APTPP Ⅱ inhibitorNon-toxicPoor177.28HIA-6550.311 56
APPPI inhibitor
PPAPDCP inhibitor
44GGGGPP0.822 72GPPEP inhibitorNon-toxicPoor136.73HIA-6440.201 945
GPAnti-thrombotic peptide
GG, GPENK inhibitor
45VGKFPFLA0.820 061PF, FL, LADPP Ⅲ inhibitorNon-toxicPoor102.13HIA+8877.506 232
46PASGGPPR0.817 869GPPEP inhibitorNon-toxicPoor35.68HIA-8737.38249
GPAnti-thrombotic peptide
GG, GPENK inhibitor
PRDPP Ⅲ inhibitor
47GIPPAPR0.816 334APTPP Ⅱ inhibitorNon-toxicGood62.9HIA+7706.412 648
APPPI inhibitor
PPAPDCP inhibitor
PRDPP Ⅲ inhibitor
48SERFGPNGW0.814 976RFDPP Ⅲ inhibitorNon-toxicGood64.1HIA+91 048.472 750
GPPEP inhibitor
GPAnti-thrombotic peptide
GWTPP Ⅱ inhibitor
ER, FG, GPENK inhibitor
49LDPINRPTFWP0.814 192RPAnti-injury peptideNon-toxicGood27.3HIA+111 425.740 525
RPNeurolysin inhibitor
TFDPP Ⅲ inhibitor
RP, FWENK inhibitor
50VDIPPAPFR0.811 676PPAPDCP inhibitorNon-toxicPoor37.82HIA+91 010.554 91
APTPP Ⅱ inhibitor
APPPI inhibitor
PF, FRDPP Ⅲ inhibitor
51GIPPAP0.811 66APTPP Ⅱ inhibitorNon-toxicGood74.59HIA+6550.311 57
APPPI inhibitor
PPAPDCP inhibitor
52GNDNPFDM0.807 618PFDPP Ⅲ inhibitorNon-toxicPoor85.68HIA+8908.333 411
53FLDSNFKM0.805 552FLDPP Ⅲ inhibitorNon-toxicGood34.04HIA+81 000.468 833
54APPAPAPPA0.804 761AP, APATPP Ⅱ inhibitorNon-toxicGood36HIA-9787.422 821
APPPI inhibitor
PPAPDCP inhibitor
55FDPRFPNQ0.803 851PR, RFDPP Ⅲ inhibitorNon-toxicPoor180.09HIA-81 019.482 512
56SQLGDLGSGAGKGGGGGG0.802 819GAAC inhibitorNon-toxicGood29.4HIA-181 430.674 935
GD, GGENK inhibitor
57ALDPINRPTFWP0.802 711RPAnti-injury peptideNon-toxicGood40.27HIA+121 425.740 515
RPNeurolysin inhibitor
TFDPP Ⅲ inhibitor
RP, FWENK inhibitor
58APGIIPR0.801 647APTPP Ⅱ inhibitorNon-toxicPoor35.5HIA+7722.443 917
APPPI inhibitor
PGPEP inhibitor
PGPAM inhibitor
PGAnti-thrombotic peptide
PRDPP Ⅲ inhibitor
59DNPFDMKVFK0.800 246PFDPP Ⅲ inhibitorNon-toxicGood14.2HIA+101 239.595 850
VFCalpain-1 inhibitor
VFTPP Ⅱ inhibitor
), ArticleFig(id=1308498986240148150, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1308459367825699505, language=CN, label=Tab.1, caption=

 Physicochemical properties of neuroactive bioactive peptides identified in Tabanus bivittatus. GCP Ⅱ: Glutamate carboxypeptidase Ⅱ; DCP: Des-gamma-carboxy prothrombin; TPP Ⅱ: Tripeptidyl-peptidase Ⅱ; PPI: Peptidyl-prolyl cis-trans isomerase; AAP: Amino acid permease; PAM: Peptidylglycine alpha-amidating monooxygenase; PEP: Phospholipid exchang proteins; ENK: Enkephalinases; AC: Adenylate cyclase; CAAP: Caspase activity and apoptosis; Xaa-Pro AP: Xaa-Pro aminopeptidase; GCP: Glutamate carboxypeptidase

, figureFileSmall=null, figureFileBig=null, tableContent=
No.Peptide sequencePeptide rank scoreValid sequenceBioactive peptide nameToxicitySolubilityInstabilityADMETLengthMassAbundance rank
1FPPRDF0.972 134DFGCP Ⅱ inhibitorNon-toxicGood47.40HIA-6777.380 950
PRDPP Ⅲ inhibitor
2PPPPPPPPPK0.968 593PPKκ-Casein-derived peptideNon-toxicGood163.08HIA-101 019.580 42
PPPKDCP inhibitor
3APPPPPPPPP0.960 917APTPP Ⅱ inhibitorNon-toxicPoor182.34HIA+10962.522 523
APPPI inhibitor
4GFPFDR0.958 934GFAAP inhibitorNon-toxicGood80.53HIA-6737.349 736
GF, PFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
5GFPGGFPGGA0.948 028GFAAP inhibitorNon-toxicPoor63.71HIA+10862.397 39
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
PGAnti-thrombotic peptide
PGPAM inhibitor
PGPEP inhibitor
GGENK inhibitor
GAAC inhibitor
GGF, GGACAAP inhibitor
6FPGGGP0.946 9PG, GPAnti-thrombotic peptideNon-toxicPoor80.57HIA+6530.248 824
GG, GPENK inhibitor
PGPAM inhibitor
PG, GPPEP inhibitor
7WPPLNP0.946 177PLXaa-Pro AP inhibitorNon-toxicPoor35.63HIA+6722.375 110
8GGFGGGF0.942 854GG, FGENK inhibitorNon-toxicPoor61.46HIA+7597.254 720
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GF, GGFTPP Ⅱ inhibitor
GGFCAAP inhibitor
9FGGGFG0.939 998FG, GGENK inhibitorNon-toxicPoor49.47HIA+6540.233 230
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GF, GGFTPP Ⅱ inhibitor
GGFCAAP inhibitor
10APPPPPPKPA0.936 869PPKκ-Casein-derived peptideNon-toxicGood136.28HIA-10967.549 13
PPPKDCP inhibitor
APTPP Ⅱ inhibitor
APPPI inhibitor
11PPPPPPKPA0.933 505PPKκ-Casein-derived peptideNon-toxicGood136.28HIA+9896.51250
PPPKDCP inhibitor
12APPPPPPKPAAP0.922 726AP, AATPP Ⅱ inhibitorNon-toxicGood128.91HIA-121 135.638 938
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
AACAAP inhibitor
13APPPPPPKPAAPA0.918 189AP, APA, AA, AAPATPP Ⅱ inhibitorNon-toxicGood131.28HIA-131 206.67650
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
AACAAP inhibitor
14APGPINF0.917 894PGP, PG, GPPEP inhibitorNon-toxicGood136.77HIA+7714.370 122
GPENK inhibitor
PGPAM inhibitor
PGP, PG, GPAnti-thrombotic peptide
APTPP Ⅱ inhibitor
APPPI inhibitor
15AAPPPPPPKPA0.910 258AA, APTPP Ⅱ inhibitorNon-toxicPoor14.61HIA-111 038.586 24
AACAAP inhibitor
APPPI inhibitor
PPKκ-Casein-derived peptide
PPPKDCP inhibitor
16GPPGPMGPA0.908 978PGP, PG, GPPEP inhibitorNon-toxicGood124.8HIA+9779.363 629
PGP, PG, GPAnti-thrombotic peptide
GP, GPAENK inhibitor
PGPAM inhibitor
PPGPDCP inhibitor
17RPPPPR0.904 961RPAnti-injury peptideNon-toxicPoor43.31HIA-6718.423 846
RPENK inhibitor
RPNeurolysin inhibitor
PRDPP Ⅲ inhibitor
18KDPSFDPNFG0.904 686FGENK inhibitorNon-toxicGood124.17HIA-101 122.498 247
19GFGLFD0.902 149FGENK inhibitorNon-toxicGood25.57HIA+6654.301 328
GFAAP inhibitor
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
20PPPPPKPA0.896 498PPKκ-Casein-derived peptideNon-toxicPoor28.9HIA+8799.459 227
PPPKDCP inhibitor
21VGKFPF0.896 363PFDPP Ⅲ inhibitorNon-toxicGood119.7HIA+6693.384 913
22SIFGNGF0.890 525FGENK inhibitorNon-toxicPoor44.23HIA+7740.349 331
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
GFAAP inhibitor
23APAPPP0.885 383APPPI inhibitorNon-toxicPoor-25.03HIA+6548.295 819
AP, APATPP Ⅱ inhibitor
24GIPDYDHPFG0.884 643DYPeptide modulation of ion fluxNon-toxicPoor168.83HIA+101 116.487 550
HP, PFDPP Ⅲ inhibitor
FGENK inhibitor
25GVPAPF0.881 908PFDPP Ⅲ inhibitorNon-toxicGood30.15HIA+6586.311 516
APTPP Ⅱ inhibitor
APPPI inhibitor
26GPPSHDFHEILM0.881 216GPPEP inhibitorNon-toxicPoor136.73HIA+121 378.633 98
GPAnti-thrombotic peptide
GPENK inhibitor
DFGCP Ⅱ inhibitor
HEGCP inhibitor
ILNeuropeptide
27DDMGFG0.879 153DDGCP Ⅱ inhibitorNon-toxicPoor67.08HIA+6640.216 214
GFDPP Ⅲ inhibitor
GFTPP Ⅱ inhibitor
GFAAP inhibitor
FGENK inhibitor
28RDPILFP0.873 158ILNeuropeptideNon-toxicGood8.33HIA+7856.480 750
29GPSGKLW0.867 823GPPEP inhibitorNon-toxicGood63.6HIA+7743.396 643
GPAnti-thrombotic peptide
GPENK inhibitor
LWDPP Ⅲ inhibitor
30FSGSFG0.867 148FGENK inhibitorNon-toxicPoor45.66HIA-6600.254 318
31PSPAGPIGGIP0.863 189GPPEP inhibitorNon-toxicPoor8.33HIA+11961.523 342
GPAnti-thrombotic peptide
GPENK inhibitor
32VPFDPRFPN0.856 118PF, PR, RFDPP Ⅲ inhibitorNon-toxicPoor84.94HIA+91 087.54537
33VWTRPW0.845 733RPAnti-injury peptideNon-toxicGood78.42HIA+6843.439 134
RPNeurolysin inhibitor
RPENK inhibitor
34GPPVFAKL0.842 499GPPEP inhibitorNon-toxicPoor10.58HIA+8827.490 550
GPAnti-thrombotic peptide
GP, AKENK inhibitor
VFTPP Ⅱ inhibitor
FAAC inhibitor
FADPP Ⅲ inhibitor
35FIDNIFR0.842 058FRDPP Ⅲ inhibitorNon-toxicPoor46.29HIA+7843.439 139
36GPPSHDFHEILMK0.841 921GPPEP inhibitorNon-toxicGood71.34HIA+131 506.728 95
GPAnti-thrombotic peptide
GPENK inhibitor
DFGCP Ⅱ inhibitor
HEGCP inhibitor
ILNeuropeptide
37APGPINFTQL0.836 244APTPP Ⅱ inhibitorNon-toxicGood62.69HIA+101 056.560 426
APPPI inhibitor
PGP, PG, GPAnti-thrombotic peptide
GPENK inhibitor
PGPAM inhibitor
PGP, PG, GPPEP inhibitor
38PRPANF0.835 643PRDPP Ⅲ inhibitorNon-toxicPoor5.69HIA+6700.365 750
RPAnti-injury peptide
RPNeurolysin inhibitor
RPENK inhibitor
39GFGLFE0.834 108GFDPP Ⅲ inhibitorNon-toxicGood34.92HIA+6668.31741
GFTPP Ⅱ inhibitor
GFAAP inhibitor
FGENK inhibitor
FEGCP inhibitor
40QIFRPDNFVFG0.829 491FRDPP Ⅲ inhibitorNon-toxicPoor8.33HIA+111 338.67240
RPAnti-injury peptide
RPNeurolysin inhibitor
VFTPP Ⅱ inhibitor
VFCalpain-1 inhibitor
RP, FGENK inhibitor
41DGPSGKLW0.828 314GPPEP inhibitorNon-toxicPoor6.08HIA+8858.423 544
GPAnti-thrombotic peptide
GPENK inhibitor
LWDPP Ⅲ inhibitor
42APPAPAPP0.825 575AP, APATPP Ⅱ inhibitorNon-toxicGood41.2HIA+8716.385 750
APPPI inhibitor
PPAPDCP inhibitor
43GLPPAP0.825 471APTPP Ⅱ inhibitorNon-toxicPoor177.28HIA-6550.311 56
APPPI inhibitor
PPAPDCP inhibitor
44GGGGPP0.822 72GPPEP inhibitorNon-toxicPoor136.73HIA-6440.201 945
GPAnti-thrombotic peptide
GG, GPENK inhibitor
45VGKFPFLA0.820 061PF, FL, LADPP Ⅲ inhibitorNon-toxicPoor102.13HIA+8877.506 232
46PASGGPPR0.817 869GPPEP inhibitorNon-toxicPoor35.68HIA-8737.38249
GPAnti-thrombotic peptide
GG, GPENK inhibitor
PRDPP Ⅲ inhibitor
47GIPPAPR0.816 334APTPP Ⅱ inhibitorNon-toxicGood62.9HIA+7706.412 648
APPPI inhibitor
PPAPDCP inhibitor
PRDPP Ⅲ inhibitor
48SERFGPNGW0.814 976RFDPP Ⅲ inhibitorNon-toxicGood64.1HIA+91 048.472 750
GPPEP inhibitor
GPAnti-thrombotic peptide
GWTPP Ⅱ inhibitor
ER, FG, GPENK inhibitor
49LDPINRPTFWP0.814 192RPAnti-injury peptideNon-toxicGood27.3HIA+111 425.740 525
RPNeurolysin inhibitor
TFDPP Ⅲ inhibitor
RP, FWENK inhibitor
50VDIPPAPFR0.811 676PPAPDCP inhibitorNon-toxicPoor37.82HIA+91 010.554 91
APTPP Ⅱ inhibitor
APPPI inhibitor
PF, FRDPP Ⅲ inhibitor
51GIPPAP0.811 66APTPP Ⅱ inhibitorNon-toxicGood74.59HIA+6550.311 57
APPPI inhibitor
PPAPDCP inhibitor
52GNDNPFDM0.807 618PFDPP Ⅲ inhibitorNon-toxicPoor85.68HIA+8908.333 411
53FLDSNFKM0.805 552FLDPP Ⅲ inhibitorNon-toxicGood34.04HIA+81 000.468 833
54APPAPAPPA0.804 761AP, APATPP Ⅱ inhibitorNon-toxicGood36HIA-9787.422 821
APPPI inhibitor
PPAPDCP inhibitor
55FDPRFPNQ0.803 851PR, RFDPP Ⅲ inhibitorNon-toxicPoor180.09HIA-81 019.482 512
56SQLGDLGSGAGKGGGGGG0.802 819GAAC inhibitorNon-toxicGood29.4HIA-181 430.674 935
GD, GGENK inhibitor
57ALDPINRPTFWP0.802 711RPAnti-injury peptideNon-toxicGood40.27HIA+121 425.740 515
RPNeurolysin inhibitor
TFDPP Ⅲ inhibitor
RP, FWENK inhibitor
58APGIIPR0.801 647APTPP Ⅱ inhibitorNon-toxicPoor35.5HIA+7722.443 917
APPPI inhibitor
PGPEP inhibitor
PGPAM inhibitor
PGAnti-thrombotic peptide
PRDPP Ⅲ inhibitor
59DNPFDMKVFK0.800 246PFDPP Ⅲ inhibitorNon-toxicGood14.2HIA+101 239.595 850
VFCalpain-1 inhibitor
VFTPP Ⅱ inhibitor
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虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究
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黄智兴 1 , 仲伟婷 2 , 苏诗宇 1 , 邓欣祺 3 , 陈恒 1 , 饶沁玲 1 , 胡子怡 1 , 刘浩 1 , 郭海涛 1 , 李沐萱 4 , 徐禄妮 5 , 马涛 1, * , 王春国 6, *
药学学报 | 研究论文 2025,60(9): 2863-2875
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药学学报 |研究论文 2025 , 60 (9) : 2863 -2875
虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究
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黄智兴1, 仲伟婷2, 苏诗宇1, 邓欣祺3, 陈恒1, 饶沁玲1, 胡子怡1, 刘浩1, 郭海涛1, 李沐萱4, 徐禄妮5, 马涛1, * , 王春国6, *
作者信息
  • 1北京中医药大学中药学院, 北京 100029
  • 2北京泰德制药股份有限公司, 北京 100176
  • 3中国中医科学院中药研究所, 北京 100700
  • 4北京中医药大学针灸推拿学院, 北京 100029
  • 5北京中医药大学第一临床医学院, 北京 100029
  • 6北京中医药大学北京中医药研究院, 北京 100029
通讯作者:
马涛,E-mail:
王春国,E-mail:
作者简介:

#共同第一作者.

作者贡献:

黄智兴、仲伟婷共同完成实验设计、数据分析及论文撰写; 苏诗宇、陈恒、饶沁玲负责样品制备、LC-MS/MS实验及肽段识别分析; 郭海涛、李沐萱、徐禄妮、胡子怡参与生物信息学功能预测及候选肽筛选; 刘浩协助进行分子对接及结构分析; 马涛、王春国、邓欣祺负责项目指导、研究方案把关与论文修改定稿。

Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activities
Zhi-xing HUANG1, Wei-ting ZHONG2, Shi-yu SU1, Xin-qi DENG3, Heng CHEN1, Qin-ling RAO1, Zi-yi HU1, Hao LIU1, Hai-tao GUO1, Mu-xuan LI4, Lu-ni XU5, Tao MA1, * , Chun-guo WANG6, *
Affiliations
  • 1School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China
  • 2Beijing Tide Pharmaceutical Co., Ltd., Beijing 100176, China
  • 3Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 4School of Acupuncture and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China
  • 5First Clinical Medical School, Beijing University of Chinese Medicine, Beijing 100029, China
  • 6Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
出版时间: 2025-09-12 doi: 10.16438/j.0513-4870.2025-0481
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本研究旨在从虻虫中筛选并鉴定具有潜在生物活性的肽类分子, 解析其结构特征与功能属性, 为新型天然肽类药物的研发提供理论基础。首先使用磷酸缓冲盐溶液(phosphate buffered saline, PBS) 提取虻虫中生物活性肽, 采用冷乙醇沉淀蛋白质并进行固相萃取纯化(solid-phase extraction, SPE)。经LC-MS/MS获得原始质谱数据后, 利用PEAKS Studio软件进行肽段识别和序列分析。随后使用Peptide Ranker预测肽段活性潜力, 进一步结合多种生物信息学工具, 对肽段功能特性进行分析, 包括活性位点、水溶性、稳定性、毒性及肠道吸收能力等指标。最终, 结合肽段结构信息开展分子对接分析。本研究共鉴定出10 378条虻虫肽段, 长度集中于6~26个氨基酸, 大部分肽段相对分子质量在1 500 Da以下, 低于2 500 Da的肽段占97.49%。通过Peptide Ranker筛选出95条评分≥ 0.80的候选活性肽段, 进一步借助BIOPEP-UWM确定了59条具有神经调节作用关键残基的肽段。生物信息学预测显示, 这59条肽段中29条水溶性良好、22条稳定性较高、43条具备较好的肠道吸收潜力, 且均无毒, 为后续功能验证及活性肽开发提供了理论依据。在此基础上, Peptide Ranker评分最高的多肽FPPRDF与二肽基肽酶Ⅲ (dipeptidyl peptidase Ⅲ, DPP Ⅲ) 进行分子对接时稳定结合, 提示其可能具有神经调节与抗肿瘤作用。本研究构建了一套系统、高效的活性肽筛选与功能预测流程, 能够从天然资源中快速识别具有药用潜力的生物活性肽。该策略为后续的功能验证、作用机制解析及新型肽类药物开发提供了技术支撑。

虻虫  /  生物活性肽  /  肽段功能预测  /  分子对接

This study aimed to screen and identify bioactive peptides from Tabanus, characterize their structural and functional features, and provide a theoretical basis for the development of novel natural peptide-based therapeutics. Initially, bioactive peptides were extracted using phosphate buffered saline (PBS), followed by protein precipitation with cold ethanol and purification via solid-phase extraction (SPE). Peptide identification and sequence analysis were performed based on LC-MS/MS data using PEAKS Studio software. Peptide activity potential was then predicted using Peptide Ranker, and a comprehensive bioinformatics analysis was conducted to evaluate key functional characteristics, including active sites, solubility, stability, toxicity, and intestinal absorption capacity. A total of 10 378 peptide sequences were identified, with lengths predominantly ranging from 6 to 26 amino acids. Most peptides had a molecular weight below 1 500 Da, and 97.49% were below 2 500 Da. Based on Peptide Ranker score (≥ 0.80), 95 candidate bioactive peptides were selected. Among them, 59 peptides were identified as having neuroregulatory potential via the BIOPEP-UWM database, due to the presence of key functional residues. Bioinformatics prediction further revealed that among these 59 peptides, 29 exhibited good water solubility, 22 were predicted to be stable, 43 had favorable intestinal absorption potential, and none were toxic, highlighting their suitability for further functional studies and therapeutic development. Molecular docking analysis demonstrated that FPPRDF, the highest-ranking peptide according to Peptide Ranker, formed stable interactions with dipeptidyl peptidase Ⅲ (DPP Ⅲ), suggesting its potential neuroregulatory and antitumor activities. Overall, this study established a systematic and efficient workflow for the screening and functional prediction of bioactive peptides from natural sources. The proposed strategy provides robust technical support for subsequent experimental validation, mechanistic studies, and the development of novel peptide-based drugs.

Tabanus  /  bioactive peptide  /  peptide function prediction  /  molecular docking
黄智兴, 仲伟婷, 苏诗宇, 邓欣祺, 陈恒, 饶沁玲, 胡子怡, 刘浩, 郭海涛, 李沐萱, 徐禄妮, 马涛, 王春国. 虻虫中的生物活性肽的高分辨质谱快速鉴定与生物活性预测研究. 药学学报, 2025 , 60 (9) : 2863 -2875 . DOI: 10.16438/j.0513-4870.2025-0481
Zhi-xing HUANG, Wei-ting ZHONG, Shi-yu SU, Xin-qi DENG, Heng CHEN, Qin-ling RAO, Zi-yi HU, Hao LIU, Hai-tao GUO, Mu-xuan LI, Lu-ni XU, Tao MA, Chun-guo WANG. Rapid identification of bioactive peptides in Tabanus by high-resolution mass spectrometry and prediction of their biological activities[J]. Acta Pharmaceutica Sinica, 2025 , 60 (9) : 2863 -2875 . DOI: 10.16438/j.0513-4870.2025-0481
生物活性肽(bioactive peptides, BAPs) 是由两个至数十个氨基酸通过肽键连接而成的多肽, 分子质量通常小于6 000 Da[1]。近年来, BAPs因其结构多样、生物利用度高、毒性低及靶向性强的特点, 受到生物医药领域的广泛关注[2]。
按照功能分类, BAPs主要包括抗氧化肽、免疫调节肽、抗菌肽、神经调节肽及抗肿瘤肽等[3]。其中, 神经调节肽和抗肿瘤肽因其在调节神经递质平衡、促进神经再生、抑制肿瘤生长与转移等方面的潜力, 成为当前神经系统疾病与肿瘤治疗研究的重要方向。BAPs的吸收特性也使其在人体健康中发挥重要作用, 3~10个氨基酸残基的短肽可轻松穿过肠道上皮细胞, 具有高效吸收性[4]。此外, 与氨基酸和完整蛋白质相比, 短肽还具有低过敏性、稳定性好等特点[5]。
在中医药领域, 虫类药被认为具有活血化瘀、通经活络的功效。近年来, 其在治疗脑病(如缺血性脑卒中)[6, 7]中展现出多靶点、多途径等作用特点, 现代研究表明, 虫类药治疗缺血性脑卒中的作用机制包括抗血栓与改善微循环、神经保护、抗炎与免疫调节、促进血管新生与修复等。
虻虫为虻科昆虫复带虻Tabanus bivittatus Mats或其他同属昆虫的雌性全虫[8], 其药用最早记载于《神农本草经》: “主逐瘀血, 破下血积, 坚痞症瘕”。历代医家均重视其破血祛瘀的作用, 并在《伤寒论》《金匮要略》中留下记载, 奠定了其在破血逐瘀领域的经典地位。此外, 《备急千金要方》记载“肿满气逆, 腹胀瘕痛”, 《本草纲目》则总结: “逐瘀血, 破血积, 坚痞瘕, 寒热, 通利血脉及九窍”。《别录》中有“主女子月水不通, 积聚, 除贼血在胸腹五脏者, 及喉痹结塞”的记载, 而《日华子本草》则写道“破症结, 消积脓, 堕胎”。现代研究显示, 虻虫在抗凝、改善微循环、神经保护等方面表现出一定的药理活性, 提示其体内天然肽段可能具有抗氧化、免疫调节以及神经保护等功能[9]。
虻虫具有多方面药效, 然而其药效物质基础尚未完全明晰。目前对虻虫成分的研究多集中于脂溶性成分和粗提物, 而其内源性多肽, 尤其是具有神经调节或抗肿瘤潜力的BAPs, 尚缺乏系统挖掘与功能预测。内源性BAPs作为体内天然存在的活性成分, 可能具有更高的稳定性和生物相容性。考虑到BAPs在神经保护、肿瘤抑制等方面的独特优势, 深入解析虻虫中的内源性多肽成分, 识别其潜在功能肽段, 对于阐明虫类药“搜剔通络”功效的分子机制具有重要意义。
样品    虻虫购买于中国药材公司, 由北京中医药大学石晋丽教授鉴定为虻科昆虫复带虻Tabanus bivittatus Mats或其他同属昆虫的雌性全虫。
仪器    Easy-nano LC Ⅱ纳流液相色谱系统、Orbitrap Fusion Lumos三合一高分辨质谱仪和Sorvall ST8R台式离心机(美国Thermo Scientific公司), 十万分之一电子分析天平(德国Sartorius公司), Millipore Synergy UV型超纯水机(美国Millipore公司), BILON-FD50AE冷冻干燥机(上海比朗仪器制造有限公司)。
试剂    石油醚(20230601415, 天津市致远化学试剂有限公司); 三氟乙酸[trifluoroacetic acid, TFA, 20210220, 福晨(天津) 化学试剂有限公司]; 磷酸缓冲盐溶液(GA24040093224, 上海尚宝生物科技有限公司); 乙醇(210957)、乙腈(221156)、甲酸(201260), 美国Thermo Scientific公司; 固相萃取小柱(046533212A, 德国MilliporeSigma公司); Nano色谱柱(164718, 德国Dr. Maisch公司); 实验用水为纳米纯水。
虻虫BAPs的提取    称取1 g干燥的虻虫, 研磨粉碎。使用石油醚按1∶3的比例对粉末进行三轮次脱脂处理, 每轮次20 min, 不断搅拌直至石油醚澄清。离心弃去上清, 将脱脂的虻虫粉末风干。超声(100 W) 提取4 h, 前2 h按1∶11的比例向脱脂虻虫粉末中加入40 ℃磷酸缓冲盐溶液(phosphate buffered saline, PBS), 搅拌均匀; 后2 h再按1∶11的比例加入相同的提取溶剂。提取溶液4 000 ×g离心25 min, 收集上清液。将上清液与二倍量乙醇混合, 并在4 ℃下孵育6 h以进行蛋白质沉淀。充分沉淀后, 13 000 ×g、4 ℃离心30 min, 上清液冷冻干燥, 即得样本一[10]。沉淀溶于等体积纳米纯水, 13 000 ×g、4 ℃离心20 min, 重复3次, 合并上清液, 冷冻干燥, 即得样本二[11]。通过分步提取步骤, 以极性差异分离虻虫中的多肽组分, 有助于全面获取不同性质的活性物质, 为后续功能解析提供基础。
SPE纯化    样品一和样品二分别与等体积的0.2% TFA溶液预混后, 加载到已使用5 mL乙腈和5 mL 0.1% TFA溶液预处理的SPE小柱中。用6 mL 0.1% TFA溶液洗涤SPE小柱以消除盐分和极性干扰, 并用6 mL含0.1% TFA的80%乙腈溶液洗脱BAPs。洗脱液于4 ℃冷冻干燥, 复溶后用于LC-MS/MS分析。
LC-MS/MS分析    在Easy-nano LC Ⅱ-Orbitrap Fusion Lumos三合一高分辨质谱上进行LC-MS/MS分析。样品复溶于0.1%甲酸, 采集2.0 μL样品进入配有Nano色谱柱(150 mm × 0.3 mm) 的系统。色谱分离采用梯度洗脱, 流动相A为0.1%甲酸水溶液, 流动相B为80%乙腈。梯度设置: 前2 min内从2% B线性增加至8% B, 随后在110 min内继续线性升至35% B, 接着以95% B冲洗8 min, 最后使用100% A平衡15 min以备下一次进样, 流速为600 nL·min-1。
质谱分析采用NSI离子源, 喷射电压为2.0 kV, 毛细管加热温度为320  ℃, 扫描模式: 一级全扫描(Full Scan, m/z 350~1 500), 数据依赖性二级质谱扫描(data-dependent acquisistion) ddMS2; 分辨率: 60 000 (Full Scan), 15 000 (MS/MS); AGC目标值: 4e6 (Full Scan), 5e4 (MS/MS); 碰撞模式: 高能量碰撞解离(HCD), 碰撞能量: NEC 35[12-14]。
PEAKS Studio软件分析    将质谱原始数据导入PEAKS Studio11软件(加拿大Bioinformatics Solutions Inc.公司)。样本一和样本二的鉴定采用数据库搜索(DB search) 与从头测序(de novo sequencing) 两种方法。De novo测序是一种基于MS/MS谱图中片段离子信息直接推断肽段氨基酸序列的方法, 不依赖已有数据库, 有助于发现蛋白质数据库中未收录的潜在新肽段[15]。
母离子质量容差设置为10 ppm, 碎片离子质量容差设置为0.02 Da。肽段长度限定为6~45个氨基酸残基, 使用分类ID为485572的UniProt数据库进行匹配。不考虑固定或可变的翻译后修饰。肽段谱匹配的显著性筛选标准为-10LgP ≥ 20.0, de novo模型置信度阈值为≥ 70.00%。
肽功能预测    使用Peptide Ranker[16] (http://distilldeep.ucd.ie/PeptideRanker/) 预测BAPs活性, 筛选标准为得分≥ 0.8。通过BIOPEP-UWM数据库[17] (https://www.uwm.edu.pl/biochemia/index.php/pl/biopep) 对BAPs功能进行注释, 鉴定具有神经活性的肽段。针对神经活性肽, 分别使用Innovagen在线工具[18] (https://pepcalc.com/) 评估其水溶性, 采用Expasy工具[19] (https://web.expasy.org/protparam/) 预测其稳定性, 不稳定指数小于40的肽段被认为较稳定, 而不稳定指数高于40的肽段稳定较差。此外, 借助ToxinPred平台[20] (https://webs.iiitd.edu.in/raghava/toxinpred/) 预测潜在毒性, 并通过Admet SAR[21] (http://lmmd.ecust.edu.cn/admetsar2) 系统评估肽的人体肠道吸收(human intestinal absorption, HIA) 特性。
分子对接    选择目标基因作为蛋白质受体, 首先通过Uniprot[22]获取其Entry ID, 并在蛋白质数据银行(protein data bank, PDB) 中下载蛋白质受体的三维晶体结构。随后, 使用Pymol软件对蛋白质受体结构进行优化, 包括去除水分子和小分子配体。多肽的三维结构通过RPBS在线服务器[23]生成。接下来, 使用AutoDockTools1.5.6对多肽和蛋白质受体进行加氢、计算电荷处理, 并进行分子对接, 最终计算蛋白质受体-多肽的结合能。结合能越低, 表示结合效果越好, 若结合能 < 0 kJ·mol-1, 说明小分子配体与蛋白质受体可自发结合, 结合能 < -21 kJ·mol-1通常被认为具有较高的结合稳定性[24]。
虻虫BAPs通过C18柱分离, 根据多肽的溶解性依次被洗脱, 并被仪器采集后进行碎裂, 得到多肽的总离子流图。在总离子流图中, 包含了多肽的一级扫描数据和二级碎裂数据。图1A展示了样本一的总离子流图, 观察到多肽信号较为均匀, 主要集中在10~80 min; 图1B展示了样本二的总离子流图, 多肽信号集中在10~120 min。
经过DB search, 样本一中鉴定到6 945条肽段, 样本二中鉴定到3 316条肽段, 其中1 067条共有肽段, 即共得到9 194条肽段。经de novo测序, 样本一得到751条肽段, 样本二得到433条肽段。两种方法共从虻虫中鉴定到10 378条肽段。经数据库搜索鉴定到的肽段, 分子质量介于430.181 2~4 686.451 7 Da, 其中大部分肽段的分子量集中于1 500 Da以下, 分子质量在2 500 Da以下的肽段占比高达97.49%。肽段长度主要分布在6~26个氨基酸之间, 其中以7~14个氨基酸的肽段最为集中, 最长的肽段由44个氨基酸构成。
为进一步验证关键肽段序列的准确性, 选取两个代表性肽段, 分别来自DB search和de novo测序。通过对二级质谱中所有可检测的b离子与y离子进行系统性分析, 实现肽段一级结构的完整确认, 并从离子连续性、离子强度和匹配准确度等多个维度进行了深入分析, 这一过程确保了肽段序列的高可靠性。
该肽段由数据库搜索获得, MS/MS图谱中显示出清晰且连续的b离子和y离子系列, 覆盖了整个肽段的结构区域(图2A)。N-端的b离子中, 观测到b1 (129.103 0)、b2 (230.151 5)、b4 (492.249 9)、b5 (620.349 6)、b8 (905.470 4) 和b9 (1 018.557 4), 表明从N端起始氨基酸开始到中后段均有较好的碎裂覆盖。尤其是b8和b9具有较高的信号强度, 为N端序列的确认提供了重要支持。C-端的y离子系列更为完整, 依次检测到y1 (147.113 7)、y2 (276.158 6)、y3 (333.180 8)、y4 (448.208 9)、y5 (561.293 9)、y6 (674.376 0)、y7 (731.398 9)、y8 (846.430 1)、y9 (974.520 3)、y10 (1 089.556 6)、y11 (1 236.610 7)和y12 (1 337.658 8)。其中y4至y12形成了高度连续的碎片系列, 碎片分布密集, 信号响应强烈, 充分表征了肽段C端区域的氨基酸组成。这种完整的y系列碎片不仅增强了序列匹配的可信度, 也显示了质谱数据的质量和样品的稳定性。
该肽段序列由de novo测序结果获得, 尽管不依赖参考数据库, 但其MS/MS谱图中也展现了高度可信的碎片离子匹配(图2B)。N-端的b离子中, 清晰检测到b2 (213.161 4)、b3 (300.170 0)、b4 (371.242 8) 以及b6 (557.299 6), 这些关键位点覆盖了N-端至中段的氨基酸信息, 有助于从de novo算法角度逐步构建序列骨架。C-端的y离子系列更为完整, 几乎贯穿整个肽段结构。从y1 (147.113 6) 开始, 依次检测到y3 (360.228 0)、y4 (417.249 5)、y5 (545.345 8)、y6 (660.372 3)、y7 (731.411 7)、y8 (802.450 9) 和y9 (889.480 0), 其中y2 (131.082 2) 为双电荷离子([y2]2+), 是de novo解析中的重要辅助线索。y系列的连续性和高信噪比, 进一步支持该序列的正确性, 并体现出de novo测序在无参考条件下对结构信息的有效提取能力。整体而言, 该肽段的碎片离子分布密集且信号明确, 验证了de novo测序的准确性, 也印证了在数据库不可得或低覆盖情况下de novo策略的实用性与价值。
Peptide Ranker可根据多肽的氨基酸组成, 预测其潜在的生物活性。得分范围为0~1, 分值越高, 表明该肽段具有生物活性的可能性越大。一般认为, 当Peptide Ranker评分≥ 0.50时, 该肽段即具有一定的生物活性[25]; 而设置更高的评分阈值(如≥ 0.80) 有助于降低假阳性率, 提高预测结果的可靠性。本研究共获得95条高评分肽段, 其中74条来源于DB search, 21条来源于de novo测序。这些肽段均为由5~18个氨基酸组成的短肽, 具有进一步开展功能分析的潜力。
通过在线数据库BIOPEP-UWM预测95条高评分肽段的潜在生物活性位点。选择“Bioactive peptides”模块下的“ANALYSIS”功能, 使用“Profiles of potential biological activity”工具, 逐一输入95条肽段序列, 重点分析其是否包含与神经调节相关的生物活性氨基酸残基。结果显示, 共有80条肽段(占比84.2%) 含有神经活性氨基酸残基。其中, 59条肽段来源于DB search、21条肽段来源于de novo测序。进一步分析肽段中活性位点, 高频出现的二肽位点包括AP、GG、GP、FG、PF、GF、PR等, 分别在所有神经活性肽段中出现23、19、15、13、13、11和10次(图3)。这些重复出现的短肽序列可能是神经调节功能的关键活性位点, 具有开发价值。此外, 源自DB Search的59条肽段常对应于脑啡肽酶(enkephalinases, ENK) 抑制剂、二肽基肽酶Ⅲ抑制剂、三肽基肽酶Ⅱ (tripeptidyl-peptidase Ⅱ, TPP Ⅱ) 抑制剂等酶类抑制剂(表1), 提示虻虫中BAPs可能通过抑制与神经信号调控相关的酶类, 从而在神经系统中发挥调节作用[26-28]。
为进一步评估神经活性肽的成药潜力, 使用多种生物学工具对59条神经活性肽的理化性质、生物安全性、毒性以及肠道吸收特性进行系统性分析, 并汇总其序列、长度、分子量、潜在活性类型及活性位点等基本信息(表1)。
首先, 使用Innovagen预测水溶性, 其中29条肽段水溶性较好, 其余30条肽段水溶性较差。随后, 通过Expasy评估肽段稳定性, 38条肽段为不稳定型, 提示其体内易降解; 另外21条肽段被预测为稳定型, 体内作用时间较长[29]。进一步通过ToxinPred预测毒性, 59条肽段均被预测为无毒, 具有良好的生物安全性, 适合作为潜在的治疗性分子。最后, 采用Admet SAR预测肽段肠道吸收能力, 43条肽段为HIA阳性, 即具有较好的肠道吸收潜力; 其余16条为HIA阴性, 提示其在肠道中吸收性较差。
基于上述评估, 进一步整合分析肽段的Peptide Ranker评分、稳定性、水溶性、安全性及吸收性, 筛选出7条兼具高活性预测得分(≥0.80)、溶解性好、稳定和肠道吸收性较强的优势肽段(GFGLFD、GVPAPF、RDPILFP、GFGLFE、LDPINRPTFWP、FLDSNFKM、DNPFDMKVFK)。这些肽段具有良好的成药潜力, 值得在后续实验中重点验证其神经调节功能及机制。
选择Peptide Ranker评分最高的多肽FPPRDF, 使用BIOPEP-UWM对其作用靶点进行预测, 结果显示该多肽可能与DPP Ⅲ发生作用。DPP Ⅲ在中枢神经系统调控疼痛、应激及神经递质平衡中发挥重要作用, 且与抑制肿瘤密切相关, 已被认为是潜在的治疗干预靶点[30]。在PDB数据库中下载DPP Ⅲ三维晶体结构文件(PDB ID: 3FVV)。采用RPBS构建FPPRDF的三维结构, 优化模型后, 通过Auto Dock Tools 1.5.6完成分子对接模拟。
分子对接结果表明, 肽段FPPRDF可稳定嵌合于DPP Ⅲ的活性腔中, 并与关键氨基酸残基形成稳定的相互作用。FPPRDF与GLU-690形成两个氢键, 键长分别为2.8和1.7 Å, 同时与GLU-688形成一个2.5 Å的氢键(图4)。对接构象显示, 该肽段被稳定包埋于蛋白内部的结合口袋中, 形成典型的氢键网络, 呈现良好的空间互补性。其结合能为-22.554 kJ·mol-1, 显著低于-21 kJ·mol-1的稳定结合阈值, 提示该结合过程具有热力学自发性和较强的稳定性。这一结果为FPPRDF可能通过调控DPP Ⅲ发挥生物活性提供了初步理论支持, 并为其后续功能验证和作用机制研究奠定了基础。
近年来, 虫类被认为是BAPs的重要来源, 如蜜蜂、蚂蚁、苍蝇等虫类体内的BAPs在免疫调节、神经保护和抗菌等方面展现出广泛潜力[31-33]。然而, 目前尚无系统研究聚焦于虻虫BAPs的神经调节功能。本研究首次系统鉴定出虻虫体内具有神经活性的多肽, 并通过多种生物信息学工具对其功能潜力和药代特性进行评估[34], 丰富了虫类BAPs资源库, 为后续功能验证与药物开发提供了候选分子。
在实验过程中, 不同样本处理方式对肽段获取量具有显著影响[35]。样本一直接收集上清液避免了后续溶解和洗涤步骤, 减少了操作损失。而样本二在沉淀复溶时, 疏水性肽段因溶解度低或再聚集无法完全进入水相, 且重复离心可能导致部分肽段被弃去, 造成系统性损耗[36]。通过功能预测, 共筛选出95条BAPs, 其中59条具有神经调节潜力, 提示虻虫中含有丰富的天然神经活性肽资源。进一步评估59条神经活性肽的药用潜力, 发现其中约49.2%的肽段具有良好水溶性, 但仅有约35.6%的肽段在稳定性预测中表现良好, 可能限制其在体内的持续活性。值得注意的是, 所有候选肽均被预测为无毒, 43条肽段具备良好的肠道吸收能力, 具有作为口服药物开发的潜力。此外, FPPRDF作为虻虫代表性BAP, 与DPP Ⅲ进行分子对接, 结合能为-22.554 kJ·mol-1, 提示FPPRDF可能通过靶向DPP Ⅲ参与神经信号调控。尽管本研究结合多种手段系统评估了BAPs的潜力, 仍存在一定局限性。首先, 预测过程中未考虑翻译后修饰对肽段结构和功能的潜在影响, 而PTMs在活性肽的活性调控中具有重要生物学意义, 可能改变其稳定性、靶点亲和性及生物分布等性质[37]。其次, 相关功能预测依赖于算法模型, 可能存在假阳性或假阴性, 其预测结果需要体外实验加以验证。
综上所述, 本研究系统揭示了虻虫中具有潜力的BAPs资源, 为新型神经活性肽的发现提供了重要线索。通过多种活性预测模型的联合筛选, 本研究识别出多个具有潜在神经活性的优势肽段, 其中FPPRDF等候选肽段评分较高, 具有较强的研究价值。未来研究将重点优化肽段提取和分离工艺, 针对高潜力肽段如FPPRDF开展体外功能验证。具体包括在神经细胞模型中评估FPPRDF对相关信号通路的调控作用, 并建立急性神经损伤或神经退行性疾病动物模型, 验证其体内神经保护或神经修复效应。结合质谱分析和转录组学技术, 进一步挖掘FPPRDF的潜在靶点, 深入解析其分子调控机制, 为新型神经活性肽药物的开发奠定坚实基础。

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doi: 10.16438/j.0513-4870.2025-0481
  • 接收时间:2025-04-26
  • 首发时间:2026-09-20
  • 出版时间:2025-09-12
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  • 收稿日期:2025-04-26
  • 修回日期:2025-06-21
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    1北京中医药大学中药学院, 北京 100029
    2北京泰德制药股份有限公司, 北京 100176
    3中国中医科学院中药研究所, 北京 100700
    4北京中医药大学针灸推拿学院, 北京 100029
    5北京中医药大学第一临床医学院, 北京 100029
    6北京中医药大学北京中医药研究院, 北京 100029

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2种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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