Renee L. Desjarlais

A shape- and chemistry-based docking method and its use in the design of HIV-1 protease inhibitors

SummaryThe program DOCK [1,2] has been used successfully to identify molecules which will bind to a specified receptor [3]. The original method ranks molecules based on their shape complementarity to the receptor site and relies on the chemist to bring the appropriate electrostatic or hydrogen bond properties into the molecular skeletons obtained in the search. This is useful when screening a small database of compounds, where it is not likely that molecules with both the correct shape and electrostatic properties will be found. As large databases are more likely to have redundant molecular shapes with a variety of functionality (e.g., members of a congeneric series), it would be useful to have a method which identifies molecules with both the correct shape and functionality. To this end we have modified the DOCK 1.0 method to target user-specified atom types to selected positions in the receptor site. The target sites can be chosen based on structural evidence, calculation or inspection. Targeted-DOCK improves the ability of the DOCK method to find the crystallographically determined binding mode of a ligand. Additionally, targeted-DOCK searches a database of small molecules at 100–1000 times the rate of DOCK 1.0, allowing more molecules to be screened and more sophisticated scoring schemes to be employed. Targeted-DOCK has been used successfully in the design of a novel non-peptide inhibitor of HIV-1 protease.

Collaborating to improve the use of free-energy and other quantitative methods in drug discovery

In May and August, 2016, several pharmaceutical companies convened to discuss and compare experiences with Free Energy Perturbation (FEP). This unusual synchronization of interest was prompted by Schrödinger’s FEP+ implementation and offered the opportunity to share fresh studies with FEP and enable broader discussions on the topic. This article summarizes key conclusions of the meetings, including a path forward of actions for this group to aid the accelerated evaluation, application and development of free energy and related quantitative, structure-based design methods.

Computational chemistry at Janssen

Computer-aided drug discovery activities at Janssen are carried out by scientists in the Computational Chemistry group of the Discovery Sciences organization. This perspective gives an overview of the organizational and operational structure, the science, internal and external collaborations, and the impact of the group on Drug Discovery at Janssen.

Enhancement of kinase selectivity in a potent class of arylamide FMS inhibitors

Structure-activity relationship (SAR) studies on a highly potent series of arylamide FMS inhibitors were carried out with the aim of improving FMS kinase selectivity, particularly over KIT. Potent compound 17r (FMS IC50 0.7 nM, FMS cell IC50 6.1 nM) was discovered that had good PK properties and a greater than fivefold improvement in selectivity for FMS over KIT kinase in a cellular assay relative to the previously reported clinical candidate 4. This improved selectivity was manifested in vivo by no observed decrease in circulating reticulocytes, a measure of bone safety, at the highest studied dose. Compound 17r was highly active in a mouse pharmacodynamic model and demonstrated disease-modifying effects in a dose-dependent manner in a strep cell wall-induced arthritis model of rheumatoid arthritis in rats.