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Molecular nonlinear dynamics and protein thermal uncertainty quantification.

ABSTRACT: This work introduces molecular nonlinear dynamics (MND) as a new approach for describing protein folding and aggregation. By using a mode system, we show that the MND of disordered proteins is chaotic while that of folded proteins exhibits intrinsically low dimensional manifolds (ILDMs). The stability of ILDMs is found to strongly correlate with protein energies. We propose a novel method for protein thermal uncertainty quantification based on persistently invariant ILDMs. Extensive comparison with experimental data and the state-of-the-art methods in the field validate the proposed new method for protein B-factor prediction.

SUBMITTER: Xia K

PROVIDER: S-EPMC3899061 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

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Molecular nonlinear dynamics and protein thermal uncertainty quantification.

Xia Kelin K Wei Guo-Wei GW

Chaos (Woodbury, N.Y.) 20140301 1

This work introduces molecular nonlinear dynamics (MND) as a new approach for describing protein folding and aggregation. By using a mode system, we show that the MND of disordered proteins is chaotic while that of folded proteins exhibits intrinsically low dimensional manifolds (ILDMs). The stability of ILDMs is found to strongly correlate with protein energies. We propose a novel method for protein thermal uncertainty quantification based on persistently invariant ILDMs. Extensive comparison w ...[more]

PMID: 24697365

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