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Articles by Haohan Jiang
Mapping AAV capsid sequences to functions through function-guided in silico evolution
ArticleVolume 1, Issue 3100016Open access Affiliations & Notes 1Department of Neurobiology and Department of Rehabilitation Medicine, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, P.R. China 2Nanhu Brain-computer Interface Institute, Hangzhou 311100, China 3Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-machine Integration, State Key Laboratory of Brain-machine Intelligence, Zhejiang University, 1369 West...
Enhanced compound-protein binding affinity prediction by representing protein multimodal information via a coevolutionary strategy
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Protein 3D structure-based neural networks highly improve the accuracy in compound-protein binding affinity prediction
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Protein 3D structure-based neural networks highly improve the accuracy in compound-protein binding affinity prediction
Abstract Theoretically, the accuracy of computational models in predicting compound-protein binding affinities (CPAs) could be improved by the introduction of protein 3D structure information. However, most of these models still suffer from a low accuracy due to the lack of an efficient approach to encode informative protein features. The major challenge is how to combine the multi-modal information such as the residue sequence of the protein, residue atom coordinates and the torsion angles.
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