3 papers
q-bio.QM2021
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li, Jianfeng Pei, Luhua Lai
Recently, deep generative models for molecular graphs are gaining more and more attention in the field of de novo drug design. A variety of models have been developed to generate t…
q-bio.QM2019
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network
Yanxing Wang, Jianxing Hu, Junyong Lai +5
Molecular fingerprints are the workhorse in ligand-based drug discovery. In recent years, an increasing number of research papers reported fascinating results on using deep neural…
q-bio.QM2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Yibo Li, Jianxing Hu, Yanxing Wang +3
The ultimate goal of drug design is to find novel compounds with desirable pharmacological properties. Designing molecules retaining particular scaffolds as the core structures of…