Literature DB >> 24132787

Absolute free energies of biomolecules from unperturbed ensembles.

Gevorg Grigoryan1.   

Abstract

Computing the absolute free energy of a macromolecule's structural state, F, is a challenging problem of high relevance. This study presents a method that computes F using only information from an unperturbed simulation of the macromolecule in the relevant conformational state, ensemble, and environment. Absolute free energies produced by this method, dubbed Valuation of Local Configuration Integral with Dynamics (VALOCIDY), enable comparison of alternative states. For example, comparing explicitly solvated and vaporous states of amino acid side-chain analogs produces solvation free energies in good agreement with experiments. Also, comparisons between alternative conformational states of model heptapeptides (including the unfolded state) produce free energy differences in agreement with data from μs molecular-dynamics simulations and experimental propensities. The potential of using VALOCIDY in computational protein design is explored via a small design problem of stabilizing a β-turn structure. When VALOCIDY-based estimation of folding free energy is used as the design metric, the resulting sequence folds into the desired structure within the atomistic force field used in design. The VALOCIDY-based approach also recognizes the distinct status of the native sequence regardless of minor details of the starting template structure, in stark contrast with a traditional fixed-backbone approach.
Copyright © 2013 Wiley Periodicals, Inc.

Keywords:  absolute free energy; computational protein design; conformational state; random energy model

Mesh:

Substances:

Year:  2013        PMID: 24132787     DOI: 10.1002/jcc.23448

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  7 in total

1.  Toward high-resolution computational design of the structure and function of helical membrane proteins.

Authors:  Patrick Barth; Alessandro Senes
Journal:  Nat Struct Mol Biol       Date:  2016-06-07       Impact factor: 15.369

Review 2.  Design of self-assembling transmembrane helical bundles to elucidate principles required for membrane protein folding and ion transport.

Authors:  Nathan H Joh; Gevorg Grigoryan; Yibing Wu; William F DeGrado
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-08-05       Impact factor: 6.237

Review 3.  Algorithms for protein design.

Authors:  Pablo Gainza; Hunter M Nisonoff; Bruce R Donald
Journal:  Curr Opin Struct Biol       Date:  2016-04-14       Impact factor: 6.809

4.  De novo design of a transmembrane Zn²⁺-transporting four-helix bundle.

Authors:  Nathan H Joh; Tuo Wang; Manasi P Bhate; Rudresh Acharya; Yibing Wu; Michael Grabe; Mei Hong; Gevorg Grigoryan; William F DeGrado
Journal:  Science       Date:  2014-12-19       Impact factor: 47.728

5.  Graphene Symmetry Amplified by Designed Peptide Self-Assembly.

Authors:  Gina-Mirela Mustata; Yong Ho Kim; Jian Zhang; William F DeGrado; Gevorg Grigoryan; Meni Wanunu
Journal:  Biophys J       Date:  2016-06-07       Impact factor: 4.033

6.  Sequence statistics of tertiary structural motifs reflect protein stability.

Authors:  Fan Zheng; Gevorg Grigoryan
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

7.  A general-purpose protein design framework based on mining sequence-structure relationships in known protein structures.

Authors:  Jianfu Zhou; Alexandra E Panaitiu; Gevorg Grigoryan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-31       Impact factor: 11.205

  7 in total

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