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Protein pocket and ligand shape comparison and its application in virtual screening
Matthias Wirth1, Andrea Volkamer, Vincent Zoete
1Computational Chemistry, Merck Serono S.A. Geneva, Chemin des Mines 9, 1202 Geneva, Switzerland. matthias.wirth@unil.ch
Molecular shape significantly influences drug discovery. This study uses normalized principal moments of inertia ratios (NPRs) to show that while spherical shapes are common in small pockets, they are avoided in bound complexes, impacting molecular recognition.
Area of Science:
- Computational chemistry
- Structural biology
- Drug discovery
Background:
- Molecular recognition is crucial for drug discovery and design.
- Shape and physicochemical complementarity drive complex formation between binding partners.
- Understanding the role of shape in this process is essential.
Purpose of the Study:
- To analyze the impact of molecular shape on protein-ligand complex formation.
- To investigate the relationship between binding pocket/ligand shape and bioactivity/binding efficiency.
- To evaluate shape and size parameters in a virtual screening context.
Main Methods:
- Representing protein binding pockets and ligands using normalized principal moments of inertia ratios (NPRs).
- Analyzing shape complementarity through pairwise shape distances, center-of-mass distances, and principal axis angle deviations.
- Assessing binding pocket parameters' relation to bioactivity and binding efficiency.
- Evaluating shape and size parameters in virtual screening on four targets.
Main Results:
- Protein pockets and ligands tend to avoid spherical shapes, which are more common in small, unoccupied pockets.
- On average, ligands fill about one-third of the binding pocket volume with 50% subpocket coverage.
- Shape complementarity is characterized by low shape distances in NPR space, short center-of-mass distances, and aligned principal axes.
- Binding pocket and ligand shape parameters show varying performance in virtual screening.
Conclusions:
- Molecular shape is a critical determinant in molecular recognition and drug design.
- The study provides quantitative measures for shape complementarity.
- The findings have implications for improving virtual screening strategies and drug design by considering shape parameters.
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