Consensus among flexible fitting approaches improves the interpretation of cryo-EM data-Reference-Cited by-同舟云学术

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Consensus among flexible fitting approaches improves the interpretation of cryo-EM data

Published:2012-02 Issue:2 Volume:177 Page:561-570
ISSN:1047-8477
Container-title:Journal of Structural Biology
language:en
Short-container-title:Journal of Structural Biology

Author:

Ahmed Aqeel,Whitford Paul C.,Sanbonmatsu Karissa Y.,Tama Florence

Funder

Dr. Steve Harvey

National Science Foundation

Molecular Cellular and Biosciences

LANL LDRD Program

LANL Director’s Postdoctoral Fellowship

Publisher

Elsevier BV

Subject

Structural Biology

Reference72 articles.

1. Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential;Bahar;Fold. Des.,1997

2. The Protein Data Bank;Berman;Nucl. Acids Res.,2000

3. Timeline: the march of structural biology;Campbell;Nat. Rev. Mol. Cell Biol.,2002

4. Multi-resolution contour-based fitting of macromolecular structures;Chacon;J. Mol. Biol.,2002

5. Topological and energetic factors: what determines the structural details of the transition state ensemble and “en-route” intermediates for protein folding? An investigation for small globular proteins;Clementi;J. Mol. Biol.,2000

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1. Cryo-EM structure and B-factor refinement with ensemble representation;Nature Communications;2024-01-10

2. Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches;Current Opinion in Structural Biology;2023-10

3. Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach;PLOS Computational Biology;2023-07-31

4. Integrating model simulation tools andcryo‐electronmicroscopy;WIREs Computational Molecular Science;2022-11-21

5. Gentle and fast all-atom model refinement to cryo-EM densities via Bayes’ approach;2022-09-30

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