Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands

NMR utilization in fragment-based drug discovery requires techniques to detect weakly binding fragments and to subsequently identify cooperatively binding fragments. Such cooperatively binding fragments can then be optimized or linked in order to develop viable drug candidates. Similarly, ligands or substrates that bind macromolecules (including enzymes) in competition with the endogenous ligand or substrate are valuable probes of macromolecular chemistry and function. The lengthy and costly process of identifying competitive or cooperative binding can be streamlined by coupling computational biochemistry and spectroscopy tools. The Clustering of Ligand Diffusion Coefficient Pairs (CoLD-CoP) method, previously developed by Snyder and co-workers, detects weakly binding ligands by analyzing pairs of diffusion spectra, obtained in the absence and the presence of a protein. We extended the CoLD-CoP method to analyze spectra pairs (each in the presence of a protein) with or without a critical ligand, to detect both competitive and cooperative binding.

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Journal
Biomolecules
Published
2024-09-09
DOI
https://doi.org/10.3390/biom14091136
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands

David A. Snyder, Roberto Robles, Shiva V. Patnala
Biomolecules
Computational Drug Discovery Methods
article

Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands

David A. Snyder, Roberto Robles, Shiva V. Patnala
article en

Abstract

NMR utilization in fragment-based drug discovery requires techniques to detect weakly binding fragments and to subsequently identify cooperatively binding fragments. Such cooperatively binding fragments can then be optimized or linked in order to develop viable drug candidates. Similarly, ligands or substrates that bind macromolecules (including enzymes) in competition with the endogenous ligand or substrate are valuable probes of macromolecular chemistry and function. The lengthy and costly process of identifying competitive or cooperative binding can be streamlined by coupling computational biochemistry and spectroscopy tools. The Clustering of Ligand Diffusion Coefficient Pairs (CoLD-CoP) method, previously developed by Snyder and co-workers, detects weakly binding ligands by analyzing pairs of diffusion spectra, obtained in the absence and the presence of a protein. We extended the CoLD-CoP method to analyze spectra pairs (each in the presence of a protein) with or without a critical ligand, to detect both competitive and cooperative binding.

BiomoleculesVol. 14(9)
William Paterson University (US)
Openalex Percentile: Top 82%
Computational Drug Discovery Methods
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Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands — David A. Snyder, Roberto Robles, et al. · Biomolecules (2024) | TGRS Research Map | TGRS