APS Logo

Advances in Modeling Molecular Recognition, Molecular Design, and Rational Drug Development

INVITED · MAR-C54 · ID: 2765869







Presentations

  • Physics-Based Machine Learning Workflows and Large Language Models are Here for Physics, (Bio)Chemistry, and Drug Discovery.

    ORAL · Invited

    Publication: Y. E. Wang*, K. O. Sun*, J. Li, X. Guan, O. Zhang, D. Bagni, T. Head-Gordon (2024). PDBBind Optimization to Create a High-Quality Protein-Ligand Binding Dataset for Binding Affinity Prediction. *equal contribution. <br>J. M. Cavanagh, K. Sun, A. Gritsevskiy, D. Bagni, T. D. Bannister, T. Head-Gordon (2024). SmileyLlama: Modifying Large Language Models for Directed Chemical Space Exploration https://arxiv.org/abs/2409.02231<br>J. Li, O. Zhang, F. L. Kearns, M. Haghighatlari, C. Parks, R. E. Amaro, T. Head-Gordon (2024). Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. J. Chem. Inform. Model., published online https://pubs.acs.org/doi/10.1021/acs.jcim.4c00634

    Presenters

    • Teresa Head-Gordon

      University of California, Berkeley

    Authors

    • Teresa Head-Gordon

      University of California, Berkeley

    View abstract →

  • Following the Rabbit into Chemical Space

    ORAL · Invited

    Publication: Large library docking identifies positive allosteric modulators of the calcium-sensing receptor. Liu F. et al., Chang W, Shoichet BK, Skiniotis G. Science. 2024 Sep 20;385(6715):eado1868. PMID: 39298584<br><br>The impact of Library Size and Scale of Testing on Virtual Screening. Liu F et al., Fraser JS, Moroz YS, Irwin JJ, Shoichet BK. bioRxiv 2024 Jul 11:2024.07.08.602536. doi: 10.1101/2024.07.08.602536. PMID: 39026784

    Presenters

    • Brian Shoichet

      University of California, San Francisco

    Authors

    • Brian Shoichet

      University of California, San Francisco

    View abstract →