Literature DB >> 30990694

Evolution of All-Atom Protein Force Fields to Improve Local and Global Properties.

Gül H Zerze1, Wenwei Zheng2, Robert B Best3, Jeetain Mittal1.   

Abstract

Experimental studies on intrinsically disordered and unfolded proteins have shown that in isolation they typically have low populations of secondary structure and exhibit distance scalings suggesting that they are at near-theta-solvent conditions. Until recently, however, all-atom force fields failed to reproduce these fundamental properties of intrinsically disordered proteins (IDPs). Recent improvements by refining against ensemble-averaged experimental observables for polypeptides in aqueous solution have addressed deficiencies including secondary structure bias, global conformational properties, and thermodynamic parameters of biophysical reactions such as folding and collapse. To date, studies utilizing these improved all-atom force fields have mostly been limited to a small set of unfolded or disordered proteins. Here, we present data generated for a diverse library of unfolded or disordered proteins using three progressively improved generations of Amber03 force fields, and we explore how global and local properties are affected by each successive change in the force field. We find that the most recent force field refinements significantly improve the agreement of the global properties such as radii of gyration and end-to-end distances with experimental estimates. However, these global properties are largely independent of the local secondary structure propensity. This result stresses the need to validate force fields with reference to a combination of experimental data providing information about both local and global structure formation.

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Year:  2019        PMID: 30990694      PMCID: PMC7507668          DOI: 10.1021/acs.jpclett.9b00850

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  76 in total

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Authors:  Samantha Weerasinghe; Paul E Smith
Journal:  J Chem Phys       Date:  2004-08-01       Impact factor: 3.488

2.  Balance between alpha and beta structures in ab initio protein folding.

Authors:  Robert B Best; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2010-07-08       Impact factor: 2.991

3.  Structural ensemble of an intrinsically disordered polypeptide.

Authors:  Jeetain Mittal; Tae Hyeon Yoo; George Georgiou; Thomas M Truskett
Journal:  J Phys Chem B       Date:  2012-12-19       Impact factor: 2.991

Review 4.  Intrinsically disordered proteins in cellular signalling and regulation.

Authors:  Peter E Wright; H Jane Dyson
Journal:  Nat Rev Mol Cell Biol       Date:  2015-01       Impact factor: 94.444

5.  Free-energy landscape of the GB1 hairpin in all-atom explicit solvent simulations with different force fields: Similarities and differences.

Authors:  Robert B Best; Jeetain Mittal
Journal:  Proteins       Date:  2011-02-14

6.  Sequence- and Temperature-Dependent Properties of Unfolded and Disordered Proteins from Atomistic Simulations.

Authors:  Gül H Zerze; Robert B Best; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2015-11-10       Impact factor: 2.991

7.  ALS Mutations Disrupt Phase Separation Mediated by α-Helical Structure in the TDP-43 Low-Complexity C-Terminal Domain.

Authors:  Alexander E Conicella; Gül H Zerze; Jeetain Mittal; Nicolas L Fawzi
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8.  Residue-Specific Force Field (RSFF2) Improves the Modeling of Conformational Behavior of Peptides and Proteins.

Authors:  Shuxiang Li; Adrian H Elcock
Journal:  J Phys Chem Lett       Date:  2015-05-26       Impact factor: 6.475

9.  Optimizing Protein-Solvent Force Fields to Reproduce Intrinsic Conformational Preferences of Model Peptides.

Authors:  Paul S Nerenberg; Teresa Head-Gordon
Journal:  J Chem Theory Comput       Date:  2011-03-07       Impact factor: 6.006

10.  All-atom empirical potential for molecular modeling and dynamics studies of proteins.

Authors:  A D MacKerell; D Bashford; M Bellott; R L Dunbrack; J D Evanseck; M J Field; S Fischer; J Gao; H Guo; S Ha; D Joseph-McCarthy; L Kuchnir; K Kuczera; F T Lau; C Mattos; S Michnick; T Ngo; D T Nguyen; B Prodhom; W E Reiher; B Roux; M Schlenkrich; J C Smith; R Stote; J Straub; M Watanabe; J Wiórkiewicz-Kuczera; D Yin; M Karplus
Journal:  J Phys Chem B       Date:  1998-04-30       Impact factor: 2.991

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Authors:  Wai Shing Tang; Nina Jovic; Anastasia C Murthy; Abigail M Janke; Da Hee Seo; Theodora Myrto Perdikari; Jeetain Mittal; Nicolas L Fawzi
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4.  Hydropathy Patterning Complements Charge Patterning to Describe Conformational Preferences of Disordered Proteins.

Authors:  Wenwei Zheng; Gregory Dignon; Matthew Brown; Young C Kim; Jeetain Mittal
Journal:  J Phys Chem Lett       Date:  2020-04-17       Impact factor: 6.475

5.  Predicting Conformational Properties of Intrinsically Disordered Proteins from Sequence.

Authors:  Kiersten M Ruff
Journal:  Methods Mol Biol       Date:  2020

6.  A predictive coarse-grained model for position-specific effects of post-translational modifications.

Authors:  Theodora Myrto Perdikari; Nina Jovic; Gregory L Dignon; Young C Kim; Nicolas L Fawzi; Jeetain Mittal
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Review 7.  Physics-based computational and theoretical approaches to intrinsically disordered proteins.

Authors:  Joan-Emma Shea; Robert B Best; Jeetain Mittal
Journal:  Curr Opin Struct Biol       Date:  2021-02-02       Impact factor: 6.809

8.  Molecular Details of Protein Condensates Probed by Microsecond Long Atomistic Simulations.

Authors:  Wenwei Zheng; Gregory L Dignon; Nina Jovic; Xichen Xu; Roshan M Regy; Nicolas L Fawzi; Young C Kim; Robert B Best; Jeetain Mittal
Journal:  J Phys Chem B       Date:  2020-12-10       Impact factor: 2.991

9.  Refinement of α-Synuclein Ensembles Against SAXS Data: Comparison of Force Fields and Methods.

Authors:  Mustapha Carab Ahmed; Line K Skaanning; Alexander Jussupow; Estella A Newcombe; Birthe B Kragelund; Carlo Camilloni; Annette E Langkilde; Kresten Lindorff-Larsen
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10.  Modeling the Structure and Interactions of Intrinsically Disordered Peptides with Multiple Replica, Metadynamics-Based Sampling Methods and Force-Field Combinations.

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