Literature DB >> 26575782

SAXS-Guided Metadynamics.

Dari Kimanius1, Ingrid Pettersson2, Gerd Schluckebier2, Erik Lindahl1,3, Magnus Andersson3.   

Abstract

The small-angle X-ray scattering (SAXS) methodology enables structural characterization of biological macromolecules in solution. However, because SAXS provides low-dimensional information, several potential structural configurations can reproduce the experimental scattering profile, which severely complicates the structural refinement process. Here, we present a bias-exchange metadynamics refinement protocol that incorporates SAXS data as collective variables and therefore tags all possible configurations with their corresponding free energies, which allows identification of a unique structural solution. The method has been implemented in PLUMED and combined with the GROMACS simulation package, and as a proof of principle, we explore the Trp-cage protein folding landscape.

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Year:  2015        PMID: 26575782     DOI: 10.1021/acs.jctc.5b00299

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  12 in total

Review 1.  The Structural and Functional Diversity of Intrinsically Disordered Regions in Transmembrane Proteins.

Authors:  Rajeswari Appadurai; Vladimir N Uversky; Anand Srivastava
Journal:  J Membr Biol       Date:  2019-05-28       Impact factor: 1.843

Review 2.  The role of small-angle scattering in structure-based screening applications.

Authors:  Po-Chia Chen; Janosch Hennig
Journal:  Biophys Rev       Date:  2018-10-10

3.  Integrating solvation shell structure in experimentally driven molecular dynamics using x-ray solution scattering data.

Authors:  Darren J Hsu; Denis Leshchev; Irina Kosheleva; Kevin L Kohlstedt; Lin X Chen
Journal:  J Chem Phys       Date:  2020-05-29       Impact factor: 3.488

4.  Validating Molecular Dynamics Simulations against Experimental Observables in Light of Underlying Conformational Ensembles.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  J Phys Chem B       Date:  2018-06-21       Impact factor: 2.991

5.  Bayesian refinement of protein structures and ensembles against SAXS data using molecular dynamics.

Authors:  Roman Shevchuk; Jochen S Hub
Journal:  PLoS Comput Biol       Date:  2017-10-18       Impact factor: 4.475

6.  SAXS-guided Enhanced Unbiased Sampling for Structure Determination of Proteins and Complexes.

Authors:  Chuankai Zhao; Diwakar Shukla
Journal:  Sci Rep       Date:  2018-12-10       Impact factor: 4.379

7.  Evaluating Anti-CD32b F(ab) Conformation Using Molecular Dynamics and Small-Angle X-Ray Scattering.

Authors:  Emma J Sutton; Richard T Bradshaw; Christian M Orr; Bjorn Frendéus; Gunilla Larsson; Ingrid Teige; Mark S Cragg; Ivo Tews; Jonathan W Essex
Journal:  Biophys J       Date:  2018-07-17       Impact factor: 4.033

8.  Unfolding bovine α-lactalbumin with T-jump: Characterizing disordered intermediates via time-resolved x-ray solution scattering and molecular dynamics simulations.

Authors:  Darren J Hsu; Denis Leshchev; Irina Kosheleva; Kevin L Kohlstedt; Lin X Chen
Journal:  J Chem Phys       Date:  2021-03-14       Impact factor: 3.488

9.  Unraveling low-resolution structural data of large biomolecules by constructing atomic models with experiment-targeted parallel cascade selection simulations.

Authors:  Junhui Peng; Zhiyong Zhang
Journal:  Sci Rep       Date:  2016-07-05       Impact factor: 4.379

Review 10.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
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