Use of MCSS to Design Small Targeted Libraries:  Application to Picornavirus Ligands

• Published in: Journal of the American Chemical Society Vol. 123; no. 51; pp. 12758 - 12769
• Main Authors: Joseph-McCarthy, Diane, Tsang, Simon K, Filman, David J, Hogle, James M, Karplus, Martin
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 26.12.2001
• Subjects: Benzimidazoles - chemistry; Benzimidazoles - metabolism; Binding Sites; Capsid - chemistry; Capsid - metabolism; Combinatorial Chemistry Techniques - methods; Crystallography, X-Ray; Ligands; Models, Molecular; Poliovirus - chemistry; Poliovirus - drug effects; Poliovirus - metabolism; Protein Binding; Protein Conformation; Rhinovirus - chemistry; Rhinovirus - drug effects; Rhinovirus - metabolism; Structure-Activity Relationship
• ISSN: 0002-7863; 1520-5126
• DOI: 10.1021/ja003972f

Computational methods were used to design structure-based combinatorial libraries of antipicornaviral capsid-binding ligands. The multiple copy simultaneous search (MCSS) program was employed to calculate functionality maps for many diverse functional groups for both the poliovirus and rhinovirus capsid structures in the region of the known drug binding pocket. Based on the results of the MCSS calculations, small combinatorial libraries consisting of 10s or 100s of three-monomer compounds were designed and synthesized. Ligand binding was demonstrated by a noncell-based mass spectrometric assay, a functional immuno-precipitation assay, and crystallographic analysis of the complexes of the virus with two of the candidate ligands. The P1/Mahoney poliovirus strain was used in the experimental studies. A comparison showed that the MCSS calculations had correctly identified the observed binding site for all three monomer units in one ligand and for two out of three in the other ligand. The correct central monomer position in the second ligand was reproduced in calculations in which the several key residues lining the pocket were allowed to move. This study validates the computational methodology. It also illustrates that subtle changes in protein structure can lead to differences in docking results and points to the importance of including target flexibility, as well as ligand flexibility, in the design process.