Aug 2026· Chimia (Basel)· Vol 80 7-8, pp.
464-472
· 0 citations· 2 references
Medicine
TL;DR
The central theme, conformational analysis, links on-target potency via pre-organization of the bioactive conformation with physics-based physicochemical property prediction with physics-based physicochemical property prediction, highlighting neutral polarity as a key determinant of permeability and exposure.
Abstract
This manuscript traces my journey through computational medicinal chemistry, showing how mechanistic and structural insights and physicochemical reasoning enable the translation of challenging targets into drugs and general design principles. The central theme, conformational analysis, links on-target potency via pre-organization of the bioactive conformation with physics-based physicochemical property prediction. This strategy can unlock dramatic gains in lipophilic efficiency and pharmacokinetic properties through the judicious addition of single atoms. This principle is extended to proteins, particularly kinases, where discrete conformational states can explain binding modes and kinetics. Binding to inactive conformations is linked to slow-on/ slow-off kinetics and can be engineered through ligand design or protein mutations. The manuscript summarizes principles of oral bioavailability in beyond-Rule-of-5 (bRo5) space, highlighting neutral polarity as a key determinant of permeability and exposure. Marketed oral bRo5 drugs and the lead optimization campaigns of first in class representatives converge on a polarity-lipophilicity sweet spot. Finally, nonclassical zwitterions represent a general design strategy to reconcile low lipophilicity with high permeability, supported by strong agreement between computation and experiment.
A structural database that systematically maps the complete activation trajectories of pharmaceutically relevant targets, encompassing TS, IS, and all connecting conformational ensembles is presented, offering multiple strategic advantages for drug discovery.
A practical overview of classical atomistic MD methodologies commonly used in medicinal chemistry, including force-field-based simulations, enhanced sampling techniques, and free-energy calculation methods such as alchemical and end-point approaches are provided.
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