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Insights into Ligand-Protein Binding from Local Mechanical Response.


ABSTRACT: 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.

SUBMITTER: Patel JS 

PROVIDER: S-EPMC3191767 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Insights into Ligand-Protein Binding from Local Mechanical Response.

Patel Jagdish Suresh JS   Branduardi Davide D   Masetti Matteo M   Rocchia Walter W   Cavalli Andrea A  

Journal of chemical theory and computation 20110830 10


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 t  ...[more]

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