362 citations · 662 across the 4 of their papers we have counts for
4 papers
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Tao Shen, Zhihang Hu, Siqi Sun +14
Accurate prediction of RNA three-dimensional (3D) structure remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing…
A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functions
Zechen Wang, Liangzhen Zheng, Sheng Wang +6
The machine learning (ML) and deep learning (DL) techniques are widely recognized to be powerful tools for virtual drug screening. The recently reported ML- or DL-based scoring fun…
OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity based on Residue-Atom Contacting Shells
Zechen Wang, Liangzhen Zheng, Yang Liu +5
One key task in virtual screening is to accurately predict the binding affinity () of protein-ligand complexes. Recently, deep learning (DL) has significantly increas…
OnionNet: a multiple-layer inter-molecular contact based convolutional neural network for protein-ligand binding affinity prediction
Liangzhen Zheng, Jingrong Fan, Yuguang Mu
Computational drug discovery provides an efficient tool helping large scale lead molecules screening. One of the major tasks of lead discovery is identifying molecules with promisi…