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Reaction-aware molecular representation learning: Toward generalizable artificial intelligence for enzymatic catalysis
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Acta Pharmaceutica Sinica B | 2026, 16(7) : 4743 - 4745
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Acta Pharmaceutica Sinica B | 2026, 16(7): 4743-4745
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Reaction-aware molecular representation learning: Toward generalizable artificial intelligence for enzymatic catalysis
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Kelin Xia1
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    1 School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore
doi: 10.1016/j.apsb.2026.06.033
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Enzymatic reaction  /  Molecular representation learning  /  Protein language model  /  Knowledge graph  /  Multimodal learning  /  Substrate prediction  /  Binding site prediction  /  Biocatalysis
Kelin Xia. Reaction-aware molecular representation learning: Toward generalizable artificial intelligence for enzymatic catalysis[J]. Acta Pharmaceutica Sinica B, 2026 , 16 (7) : 4743 -4745 . DOI: 10.1016/j.apsb.2026.06.033
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Year 2026 volume 16 Issue 7
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doi: 10.1016/j.apsb.2026.06.033
  • Online Date：2026-09-17
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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