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Insights into Ligand–Protein Binding from Local Mechanical Response
Author(s) -
Jagdish Suresh Patel,
Davide Branduardi,
Matteo Masetti,
Walter Rocchia,
Andrea Cavalli
Publication year - 2011
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct200324j
Subject(s) - computer science , molecular dynamics , biological system , ligand (biochemistry) , work (physics) , computational biology , nanotechnology , chemistry , physics , biology , materials science , computational chemistry , biochemistry , receptor , thermodynamics
Computational studies of ligand-protein binding are crucial for properly designing novel compounds of potential pharmacological interest. In this respect, researchers are increasingly interested in steered molecular dynamics for ligand-protein binding and unbinding studies. In particular, it has been suggested that analyzing the work profiles along the ligand-protein undocking paths could be fruitful. Here, we propose that small portions of work profiles, termed "local mechanical responses" of the system to a steering force, could serve as a universal measure for capturing relevant information about the system under investigation. Specifically, we first collected a high number of steering trajectories using two biological systems of increasing complexity (i.e., alanine dipeptide and (R)-roscovitine/CDK5 complex). Then, we devised a novel postprocessing tool to be applied to the local mechanical responses, to extract structural information related to the biological processes under investigation. Despite the out-of-equilibrium character of the trajectories, the analysis carried out on the work profiles provided pivotal information about the investigated biological processes. This could eventually be applied to drug design.

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