Literature DB >> 31350773

NMR-assisted protein structure prediction with MELDxMD.

James C Robertson1, Roy Nassar1,2, Cong Liu1,2, Emiliano Brini1, Ken A Dill1,2,3, Alberto Perez4.   

Abstract

We describe the performance of MELD-accelerated molecular dynamics (MELDxMD) in determining protein structures in the NMR-data-assisted category in CASP13. Seeded from web server predictions, MELDxMD was found best in the NMR category, over 17 targets, outperforming the next-best groups by a factor of ~4 in z-score. MELDxMD gives ensembles, not single structures; succeeds on a 326-mer, near the current upper limit for NMR structures; and predicts structures that match experimental residual dipolar couplings even though the only NMR-derived data used in the simulations was NOE-based ambiguous atom-atom contacts and backbone dihedrals. MELD can use noisy and ambiguous experimental information to reduce the MD search space. We believe MELDxMD is a promising method for determining protein structures from NMR data.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP13; MELD; NMR; molecular dynamics; protein structure prediction

Mesh:

Substances:

Year:  2019        PMID: 31350773      PMCID: PMC6851473          DOI: 10.1002/prot.25788

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  30 in total

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Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Proteins       Date:  2004-12-01

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Authors:  Hetunandan Kamisetty; Sergey Ovchinnikov; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-05       Impact factor: 11.205

6.  Toward optimal fragment generations for ab initio protein structure assembly.

Authors:  Dong Xu; Yang Zhang
Journal:  Proteins       Date:  2012-10-16

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Authors:  Ambrish Roy; Alper Kucukural; Yang Zhang
Journal:  Nat Protoc       Date:  2010-03-25       Impact factor: 13.491

8.  ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB.

Authors:  James A Maier; Carmenza Martinez; Koushik Kasavajhala; Lauren Wickstrom; Kevin E Hauser; Carlos Simmerling
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9.  RPF: a quality assessment tool for protein NMR structures.

Authors:  Yuanpeng Janet Huang; Antonio Rosato; Gautam Singh; Gaetano T Montelione
Journal:  Nucleic Acids Res       Date:  2012-05-08       Impact factor: 16.971

10.  BioMagResBank.

Authors:  Eldon L Ulrich; Hideo Akutsu; Jurgen F Doreleijers; Yoko Harano; Yannis E Ioannidis; Jundong Lin; Miron Livny; Steve Mading; Dimitri Maziuk; Zachary Miller; Eiichi Nakatani; Christopher F Schulte; David E Tolmie; R Kent Wenger; Hongyang Yao; John L Markley
Journal:  Nucleic Acids Res       Date:  2007-11-04       Impact factor: 16.971

View more
  10 in total

Review 1.  Hybrid methods for combined experimental and computational determination of protein structure.

Authors:  Justin T Seffernick; Steffen Lindert
Journal:  J Chem Phys       Date:  2020-12-28       Impact factor: 3.488

2.  Protein structure prediction assisted with sparse NMR data in CASP13.

Authors:  Davide Sala; Yuanpeng Janet Huang; Casey A Cole; David A Snyder; Gaohua Liu; Yojiro Ishida; G V T Swapna; Kelly P Brock; Chris Sander; Krzysztof Fidelis; Andriy Kryshtafovych; Masayori Inouye; Roberto Tejero; Homayoun Valafar; Antonio Rosato; Gaetano T Montelione
Journal:  Proteins       Date:  2019-12

3.  AlphaFold Models of Small Proteins Rival the Accuracy of Solution NMR Structures.

Authors:  Roberto Tejero; Yuanpeng Janet Huang; Theresa A Ramelot; Gaetano T Montelione
Journal:  Front Mol Biosci       Date:  2022-06-13

4.  Critical assessment of methods of protein structure prediction (CASP)-Round XIII.

Authors:  Andriy Kryshtafovych; Torsten Schwede; Maya Topf; Krzysztof Fidelis; John Moult
Journal:  Proteins       Date:  2019-10-23

5.  Modeling beta-sheet peptide-protein interactions: Rosetta FlexPepDock in CAPRI rounds 38-45.

Authors:  Alisa Khramushin; Orly Marcu; Nawsad Alam; Orly Shimony; Dzmitry Padhorny; Emiliano Brini; Ken A Dill; Sandor Vajda; Dima Kozakov; Ora Schueler-Furman
Journal:  Proteins       Date:  2020-01-06

6.  Prediction of Protein Complex Structure Using Surface-Induced Dissociation and Cryo-Electron Microscopy.

Authors:  Justin T Seffernick; Shane M Canfield; Sophie R Harvey; Vicki H Wysocki; Steffen Lindert
Journal:  Anal Chem       Date:  2021-05-17       Impact factor: 8.008

7.  MELD-accelerated molecular dynamics help determine amyloid fibril structures.

Authors:  Bhanita Sharma; Ken A Dill
Journal:  Commun Biol       Date:  2021-08-05

8.  Simultaneous Assignment and Structure Determination of Proteins From Sparsely Labeled NMR Datasets.

Authors:  Arup Mondal; Alberto Perez
Journal:  Front Mol Biosci       Date:  2021-11-24

Review 9.  Using metagenomic data to boost protein structure prediction and discovery.

Authors:  Qingzhen Hou; Fabrizio Pucci; Fengming Pan; Fuzhong Xue; Marianne Rooman; Qiang Feng
Journal:  Comput Struct Biotechnol J       Date:  2022-01-03       Impact factor: 7.271

10.  Editorial: Computational approaches for interpreting experimental data and understanding protein structure, dynamics and function relationships.

Authors:  Kaifeng Hu; Woonghee Lee; Gaetano T Montelione; Nikolaos G Sgourakis; Beat Vögeli
Journal:  Front Mol Biosci       Date:  2022-10-03
  10 in total

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