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Normal-modes-based prediction of protein conformational changes guided by distance constraints.


ABSTRACT: Based on the elastic network model, we develop a novel method that predicts the conformational change of a protein complex given its initial-state crystal structure together with a small set of pairwise distance constraints for the end state. The predicted conformational change, which is a linear combination of multiple low-frequency normal modes that are solved from the elastic network model, is computed as a response displacement induced by a perturbation to the system Hamiltonian that incorporates the given distance constraints. For a list of test cases, we find that the computed response displacement overlaps significantly with the measured conformational changes, when only a handful of pairwise constraints are used (

SUBMITTER: Zheng W 

PROVIDER: S-EPMC1305462 | biostudies-literature | 2005 May

REPOSITORIES: biostudies-literature

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Normal-modes-based prediction of protein conformational changes guided by distance constraints.

Zheng Wenjun W   Brooks Bernard R BR  

Biophysical journal 20050218 5


Based on the elastic network model, we develop a novel method that predicts the conformational change of a protein complex given its initial-state crystal structure together with a small set of pairwise distance constraints for the end state. The predicted conformational change, which is a linear combination of multiple low-frequency normal modes that are solved from the elastic network model, is computed as a response displacement induced by a perturbation to the system Hamiltonian that incorpo  ...[more]

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