陈红明研究员
研究简介
从事计算化学和新药开发工作长达18年，曾在阿斯利康先导化合物发现部门担任主任研究员（Principal Scientist）职位，现任中国生物信息与药物发现专委会副主任。他的主要研究兴趣在计算化学，化学信息学，人工智能/机器学习等方面，已发表学术论文和专利90余篇。目前担任Molecular Informatics 杂志学术咨询委员会委员和Artificial Intelligence in the Life Sciences，Journal of Cheminformatics杂志编委委员。
荣誉奖励
1. 广东省重大人才项目领军人才
2. 黄埔区优秀人才
代表性成果
1. B Li,T Ran,H Chen.2023.3D based generative PROTAC linker design with reinforcement learning.Briefings in Bioinformatics.2023, bbad323
2. Y. Yang,S. Zheng,S. Su, C. Zhao, J. Xu, H. Chen.2020.SyntaLinker: Automatic Fragment Linking with Deep Conditional Transformer Neural Networks.Chemical Science.2020, 11, 8312-8322
3. X. Guillory,M. Wolter,S. Leysen,J. F. Neves,A. Kuusk,S. Genet,B. Somsen,J. K. Morrow,E. Rivers,L. van Beek,J. Patel,R. Goodnow,H. Schoenherr,N. Fuller,Q. Cao,R. G. Doveston,L. Brunsveld,M. R. Arkin,P. Castaldi,H. Boyd,I. Landrieu,H. Chen,C. Ottmann.2020.Fragment-based Differential Targeting of PPI Stabilizer Interfaces. J. Med. Chem. 2020, 63, 6694–6707
4. H. Chen, O. Engkvist.2019.Has Drug Design Augmented by Artificial Intelligence Become a Reality? Trends in Pharmacological Sciences.2019, 40, 806-809.
5. H. Chen, O. Engkvist, Y. Wang, M. Olivecrona, T. Blaschke.2018.The rise of deep learning in drug discovery.Drug Discov Today.2018, 23, 1241-1250.
6. M. Olivecrona, T. Blaschke, O. Engkvist, H. Chen.2017.Molecular de-novo design through deep reinforcement learning.J. Cheminform.2017, 9:48.
7. Yidong Yang, Ola Engkvist, Antonio Llinàs, Hongming Chen.2012.Beyond size, ionization state, and lipophilicity: influence of molecular topology on absorption, distribution, metabolism, excretion, and toxicity for druglike compounds. Journal of medicinal chemistry.55 (8), 3667-3677