🔭 I'm Lin Wang (王林), a postdoc in Institute of Systems Medicine of Chinese Academy of Medical Sciences, supervised by Prof. Yang Zhang.

😄 My research interests are focused on developing artificial intelligence methods for the lead compound discovery and applying them to design drugs for the treatment of cancer, inflammation, neurodegenerative diseases, and chronic illnesses. I have a particular interest in developing molecular modulators for protein conformational changes and protein-protein interactions. I am dedicated to advancing computational methods for molecular representation learning and small molecule design to revolutionize drug discovery approaches.

🌱 My Representative Works

• GeminiMol: a generic molecular representation model pre-trained on a miniaturized dataset (39,290), which incorporates conformational space profile into molecular representation learning. Advanced Science GitHub
• PPI-Miner: a motif-driven PPI identification method, that can be applied to discovering novel PPIs, the rational design of molecular glues, and protein vaccines. Using the PPI-Miner, we developed the first potential substrates database of CRBN, serving the rational design of molecular glue degraders. [Journal of Chemical Information and Modeling] [Online Database]
• Discovery of PPI disruptors by targeting the SARS-CoV-2 spike protein. [Journal of Medicinal Chemistry | Acta Pharmacologica Sinica]