Literature DB >> 30528595

Structural Characterization of Biomolecules through Atomistic Simulations Guided by DEER Measurements.

Fabrizio Marinelli1, Giacomo Fiorin2.   

Abstract

Double electron-electron resonance (DEER) is a popular technique that exploits attached spin labels to probe the collective dynamics of biomolecules in a native environment. Like most spectroscopic approaches, DEER detects an ensemble of states accounting for biomolecular dynamics as well as the labels' intrinsic flexibility. Hence, the DEER data alone do not provide high-resolution structural information. To disentangle this variability, we introduce a minimally biased simulation method to sample a structural ensemble that reproduces multiple experimental signals within the uncertainty. In contrast to previous approaches, our method targets the raw data themselves, and thereby it brings forth an unbiased molecular interpretation of the experiments. After validation on the T4 lysozyme, we apply this technique to interpret recent DEER experiments on a membrane transporter binding protein (VcSiaP). The results highlight the large-scale conformational movement that occurs upon substrate binding and reveal that the unbound VcSiaP is more open in solution than the X-ray structure. Published by Elsevier Ltd.

Entities:  

Keywords:  T4 lysozyme; VcSiaP; adaptive biasing approach; coupling simulations and experiments; double electron-electron resonance; maximum entropy principle; molecular dynamics; restrained-average dynamics; substrate-binding protein; tripartite ATP-independent periplasmic transporter

Mesh:

Substances:

Year:  2018        PMID: 30528595      PMCID: PMC6860373          DOI: 10.1016/j.str.2018.10.013

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  7 in total

1.  Scalable molecular dynamics on CPU and GPU architectures with NAMD.

Authors:  James C Phillips; David J Hardy; Julio D C Maia; John E Stone; João V Ribeiro; Rafael C Bernardi; Ronak Buch; Giacomo Fiorin; Jérôme Hénin; Wei Jiang; Ryan McGreevy; Marcelo C R Melo; Brian K Radak; Robert D Skeel; Abhishek Singharoy; Yi Wang; Benoît Roux; Aleksei Aksimentiev; Zaida Luthey-Schulten; Laxmikant V Kalé; Klaus Schulten; Christophe Chipot; Emad Tajkhorshid
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

2.  Rapid Simulation of Unprocessed DEER Decay Data for Protein Fold Prediction.

Authors:  Diego Del Alamo; Maxx H Tessmer; Richard A Stein; Jimmy B Feix; Hassane S Mchaourab; Jens Meiler
Journal:  Biophys J       Date:  2019-12-18       Impact factor: 4.033

3.  Energy penalties enhance flexible receptor docking in a model cavity.

Authors:  Anna S Kamenik; Isha Singh; Parnian Lak; Trent E Balius; Klaus R Liedl; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-07       Impact factor: 11.205

4.  Interpretation of spectroscopic data using molecular simulations for the secondary active transporter BetP.

Authors:  Vanessa Leone; Izabela Waclawska; Katharina Kossmann; Caroline Koshy; Monika Sharma; Thomas F Prisner; Christine Ziegler; Burkhard Endeward; Lucy R Forrest
Journal:  J Gen Physiol       Date:  2019-02-06       Impact factor: 4.086

5.  Interpretation of HDX Data by Maximum-Entropy Reweighting of Simulated Structural Ensembles.

Authors:  Richard T Bradshaw; Fabrizio Marinelli; José D Faraldo-Gómez; Lucy R Forrest
Journal:  Biophys J       Date:  2020-02-15       Impact factor: 4.033

6.  Altered conformational sampling along an evolutionary trajectory changes the catalytic activity of an enzyme.

Authors:  Joe A Kaczmarski; Mithun C Mahawaththa; Akiva Feintuch; Ben E Clifton; Luke A Adams; Daniella Goldfarb; Gottfried Otting; Colin J Jackson
Journal:  Nat Commun       Date:  2020-11-23       Impact factor: 14.919

Review 7.  Combining Experimental Data and Computational Methods for the Non-Computer Specialist.

Authors:  Reinier Cárdenas; Javier Martínez-Seoane; Carlos Amero
Journal:  Molecules       Date:  2020-10-18       Impact factor: 4.411

  7 in total

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