Accelerating Lead Optimization Away from Anti-Targets: Navigating the Structural Complexity of Promiscuous ADMET Proteins
Abstract The development of a small molecule suitable for clinical use involves optimization of ligand binding to an identified target protein but also frequently the reduction of binding to a variety of anti-target proteins known to pose translational risk. These anti-targets, often referred to as ADMET proteins, often contain large, highly flexible binding sites, leading to promiscuous binding of small molecules. This property often frustrates efforts to execute structure-based design against these anti-targets. Here, we demonstrate the application of a combination of induced fit docking and free energy perturbation to structurally enable several of the most common anti-targets: cytochrome P450 isoforms 3A4 and 2D6, the hERG ion channel, and PXR. Crucially, the enforcement of a consensus binding mode across a congeneric series allowed for the efficient exploration of a wide range of receptor conformational space. Results are presented for both public retrospective datasets and prospective application in active drug discovery programs.
Authors
- Daigo Inoyama
- Steven K. Albanese (ORCID: https://orcid.org/0000-0003-0973-5030)
- Richard A. Friesner (ORCID: https://orcid.org/0000-0002-1708-9342)
- Robert Abel (ORCID: https://orcid.org/0000-0003-2945-3145)
- Andreas Verras (ORCID: https://orcid.org/0000-0001-5353-4784)
- Robert D. Pelletier (ORCID: https://orcid.org/0000-0003-2112-1461)
- Sébastien Campos (ORCID: https://orcid.org/0000-0003-1717-5918)
- Lewis Whitehead (ORCID: https://orcid.org/0000-0002-6125-0893)
- Angela V. Toms
- Scott D. Edmondson (ORCID: https://orcid.org/0000-0003-4865-2561)
- Andrew Placzek
- Justin A. Caravella (ORCID: https://orcid.org/0000-0002-6573-4334)
- Peter J. Tummino (ORCID: https://orcid.org/0009-0009-1989-970X)
- Edward B. Miller (ORCID: https://orcid.org/0000-0003-1590-5788)
- Tianchuan Xu
- Howook Hwang
- Kevin DeMarco
- Neelu Kaila (ORCID: https://orcid.org/0009-0002-4782-0789)
- Sheetal Kumar
- Mee Shelley
- Samantha Carreiro
- Kyle Konze
- Kevin D. Kreutter
- Joshua McElwee
- Sung-Sau So
Institutions
- Schrodinger (United States) (US)
Publication Details
- Journal
- Journal of Chemical Theory and Computation
- Published
- 2026-10-22
- DOI
- https://doi.org/10.1021/acs.jctc.6c01007
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00