Application advances of deep learning methods for de novo drug design and molecular dynamics simulation
Qifeng Bai(Lanzhou University), Xiaojun Yao(Faculty (United Kingdom)), Horacio Pérez‐Sánchez(Universidad Católica de Murcia), Huanxiang Liu(Nantong University), Yanan Tian(Hubei University of Medicine), Junzhou Huang(The University of Texas at Arlington), Tingyang Xu(Tencent (China)), Shuo Liu(Lanzhou University), Antonio Jesús Banegas‐Luna(Universidad Católica de Murcia)
Cited by 151
Related Papers
Large-Scale Multi-View Spectral Clustering via Bipartite Graph
|Proceedings of the AAAI Conference on Artificial Intelligence|2015|577
MCC950 closes the active conformation of NLRP3 to an inactive state
|Nature Chemical Biology|2019|446
What Contributes to Serotonin–Norepinephrine Reuptake Inhibitors’ Dual-Targeting Mechanism? The Key Role of Transmembrane Domain 6 in Human Serotonin and Norepinephrine Transporters Revealed by Molecular Dynamics Simulation
|ACS Chemical Neuroscience|2018|287
Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks
|Drug Discovery Today|2018|224
A Comprehensive Docking and MM/GBSA Rescoring Study of Ligand Recognition upon Binding Antithrombin
|Current Topics in Medicinal Chemistry|2017|193