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Articles by Binjie Guo
Computer Science > Artificial Intelligence
Heterogeneous language-model ensembles expand the space of candidate responses, yet they lack a principled criterion for when a newly generated answer should supersede an already supported one. We decouple candidate headroom from replacement authority, rendering the latter as an explicit, auditable object.
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...
Develop targeted protein drug carriers through a high‐throughput screening platform and rational design
Supporting Information Filename Description adhm202401793-sup-0001-SuppMat.pdf1.2 MB Supporting Information adhm202401793-sup-0002-dataset1.xlsx92.3 KB Supporting Information adhm202401793-sup-0003-dataset2.xlsx559.6 KB Supporting Information adhm202401793-sup-0004-dataset3.xlsx17.5 KB Supporting Information
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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