Mingyang Wang

发表

ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery.

Jike Wang, Huiyong Sun, Tingjun Hou, 2022, Journal of medicinal chemistry.

ReMODE: a deep learning-based web server for target-specific drug design

Jike Wang, Chang-Yu Hsieh, P. Pan, 2022, J. Cheminformatics.

RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design.

Honglin Li, Jike Wang, Zhitong Bing, 2022, Journal of medicinal chemistry.

Comprehensive assessment of deep generative architectures for de novo drug design

Honglin Li, Jike Wang, Huiyong Sun, 2021, Briefings Bioinform..

Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning

Tingjun Hou, Benben Liao, Jike Wang, 2021, Nature Machine Intelligence.

MetalProGNet: a structure-based deep graph model for metalloprotein–ligand interaction predictions

Jike Wang, Chang-Yu Hsieh, Tingjun Hou, 2023, Chemical science.

Molecular Generation with Reduced Labeling through Constraint Architecture

Jike Wang, Junmei Wang, Chang-Yu Hsieh, 2023, J. Chem. Inf. Model..

Deep learning approaches for de novo drug design: An overview.

Jike Wang, Huiyong Sun, Tingjun Hou, 2021, Current opinion in structural biology.

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

Hang Su, Zhenshan Bing, Alois Knoll, 2023, AAAI.

Genetic Algorithm-Based Receptor Ligand: A Genetic Algorithm-Guided Generative Model to Boost the Novelty and Drug-Likeness of Molecules in a Sampling Chemical Space

P. Pan, Gaoqi Weng, Xiaojun Yao, 2024, J. Chem. Inf. Model..

Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation

P. Pan, Xujun Zhang, Zhenxing Wu, 2024, ArXiv.

DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery

Hongyan Du, Dejun Jiang, Xujun Zhang, 2024, J. Chem. Inf. Model..