Article(id=1315696629336883584, tenantId=1146029695717560320, journalId=1315121759093096577, issueId=1315696624781869390, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1005-7021.2026.02.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1764691200000, receivedDateStr=2025-12-03, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791616120895, onlineDateStr=2026-10-10, pubDate=1776614400000, pubDateStr=2026-04-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791616120895, onlineIssueDateStr=2026-10-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791616120895, creator=13701087609, updateTime=1791616120895, updator=13701087609, issue=Issue{id=1315696624781869390, tenantId=1146029695717560320, journalId=1315121759093096577, year='2026', volume='46', issue='2', pageStart='1', pageEnd='136', issueExtLink='null', onlineDate='null', pubDate='1776614400000', pubDateStr='2026-04-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791616119809, creator='13701087609', updateTime=1791616211073, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1315697007629550369, tenantId=1146029695717560320, journalId=1315121759093096577, issueId=1315696624781869390, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1315697007629550370, tenantId=1146029695717560320, journalId=1315121759093096577, issueId=1315696624781869390, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=58, endPage=68, ext={EN=ArticleExt(id=1315696629508850049, articleId=1315696629336883584, tenantId=1146029695717560320, journalId=1315121759093096577, language=EN, title=Prediction and Bioinformatics Analysis of G Protein-Coupled Receptors in
Penicillium expansum, columnId=null, journalTitle=Journal of Microbiology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
G protein-coupled receptors (GPCRs) in pathogenic fungi have become one of the critical targets for controlling pathogenic disease. In this study, 36 candidate GPCRs were identified from Penicillium expansum by bioinformatics approaches including three transmembrane prediction tools (DeepTMHMM, Phobius, and TOPCONS) and four GPCR prediction platforms (GPCRHMM, GPCRPipe, GPCR-Pen, and GPCRPred). The topological structure analysis, subcellular localization, and functional annotation demonstrated the reliability of the prediction strategy. Phylogenetic classification revealed that these candidate GPCRs were distributed across six distinct fungal GPCR classes, which are characterized by conserved domains such as fungal rhodopsin-like receptor families, pheromone mating factor STE2, pheromone A receptor STE3, and RTA1-like proteins. Physicochemical property analysis demonstrated that the candidate GPCRs predominantly exhibit neutral or alkaline proteins, with 44.44% classified as unstable proteins and 97.22% showing hydrophobic properties. These findings provide a critical theoretical foundation for elucidating the biological functions, signaling mechanisms, and pathogenic roles of GPCRs in P.expansum, and also highlighting potential targets for the development of novel antifungal molecules.
, authors=Cong SONG
1, Wen-ming SONG
1, 3, Yang SUN
1, 3, Zhen-hua JIA
1, Shui-shan SONG
1, *, Jun-feng GUAN
2, *, authorsList=Cong SONG, Wen-ming SONG, Yang SUN, Zhen-hua JIA, Shui-shan SONG, Jun-feng GUAN, authorCompany=null, correspAuthors=Shui-shan SONG, Jun-feng GUAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, 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=1315696629831811458, articleId=1315696629336883584, tenantId=1146029695717560320, journalId=1315121759093096577, language=CN, title=扩展青霉G蛋白偶联受体预测及生物信息学分析, columnId=1315696197449405326, journalTitle=微生物学杂志, columnName=研究报告, runingTitle=null, highlight=null, articleAbstract=
病原真菌的G蛋白偶联受体(G protein-coupled receptors, GPCRs)是病害防治的关键靶点之一。通过多种生物信息学方法,综合运用DeePTMHMM、Phobius和TOPCONS三种跨膜预测工具,以及GPCRHMM、GPCRPipe、GPCR-Pen和GPCRPred四个GPCR预测平台,从扩展青霉(Penicillium expansum)基因组序列中筛选了36个候选GPCRs,通过拓扑结构、亚细胞定位和功能分析验证了该预测方法的可靠性,经系统进化树分类、保守结构域、理化性质等特征分析,确定这些候选GPCRs分布在6个真菌GPCRs类别中,具有真菌视紫红质受体样家族、真菌信息素交配因子STE2、信息素A受体STE3、RTA1样蛋白等保守结构域,候选GPCRs多为中性或碱性蛋白,其中不稳定性蛋白占44.44%,疏水性蛋白占97.22%。本研究结果为进一步研究扩展青霉GPCRs的生物学功能、信号转导机制以及致病机制提供了重要的理论基础,也为开发新型抗真菌药物提供了潜在的靶点信息。
, authors=宋聪
1, 宋文明
1, 3, 孙阳
1, 3, 贾振华
1, 宋水山
1, *, 关军锋
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