Author

Dongmei Wang

Chinese Academy of Medical Sciences & Peking Union Medical CollegeORCID 0000-0002-6930-0066Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Dongmei Wang3 papers · Chinese Academy of Sciences

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jie XiaiD· 2 shared Song WuiD· 2 shared Tao SheniD· 2 shared Gao Zhang· 1 shared Jiale GuoiD· 1 shared Liangren ZhangiD· 1 shared Qingxin LiuiD· 1 shared Shan LiiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Jie XiaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep Reinforcement Learning Enables Better Bias Control in Benchmark for Virtual Screening

Tao Shen, Shan Li, Xiang Simon Wang, Dongmei Wang, Song Wu, Jie Xia, Liangren Zhang

The paper introduces a new benchmark, MUBDsyn, for virtual screening that uses deep reinforcement learning to control biases, showing improved performance over existing benchmarks.

Computers in Biology and Medicine · Feb 15, 2024Peer-reviewedBioinformatics

AutoMolDesigner for Antibiotic Discovery: An AI-based Open-source Software for Automated Design of Small-molecule Antibiotics

Tao Shen, Jiale Guo, Zunsheng Han, Gao Zhang, Qingxin Liu, Xinxin Si, Dongmei Wang, Song Wu, Jie Xia

AutoMolDesigner is an open-source AI tool for automated small-molecule antibiotic design, combining generative deep learning and automated machine learning for efficient antibiotic discovery.

Journal of Chemical Information and Modeling · Jan 24, 2024Peer-reviewedBioinformatics