OnionNet-2: a convolutional neural network model for predicting protein-ligand binding affinity based on residue-atom contacting shells

• المؤلفون الرئيسيون: Wang, Zechen, Zheng, Liangzhen, Liu, Yang, Qu, Yuanyuan, Li, Yong-Qiang, Zhao, Mingwen, Mu, Yuguang, Li, Weifeng
• مؤلفون آخرون: School of Biological Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Science::Biological sciences; Protein-Ligand Binding; Deep Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/154022

One key task in virtual screening is to accurately predict the binding affinity (△G) of protein-ligand complexes. Recently, deep learning (DL) has significantly increased the predicting accuracy of scoring functions due to the extraordinary ability of DL to extract useful features from raw data. Nev...