Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy

Abstract Due to the lack of a method to efficiently represent the multimodal information of a protein, including its structure and sequence information, predicting compound-protein binding affinity (CPA) still suffers from low accuracy when applying machine-learning methods. To overcome this limitat...

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Veröffentlicht in:	Briefings in bioinformatics 2023-03, Vol.24 (2)
Hauptverfasser:	Guo, Binjie, Zheng, Hanyu, Jiang, Haohan, Li, Xiaodan, Guan, Naiyu, Zuo, Yanming, Zhang, Yicheng, Yang, Hengfu, Wang, Xuhua
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Affinity Amino acid sequence Binding Machine Learning Mathematical models Models, Theoretical Predictions Protein Binding Protein structure Proteins Proteins - chemistry
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