Unrolr: Structural analysis of protein conformations using stochastic proximity embedding-Reference-Cited by-同舟云学术

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Unrolr: Structural analysis of protein conformations using stochastic proximity embedding

Published:2018-11-15 Issue:30 Volume:39 Page:2551-2557
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J. Comput. Chem.

Author:

Eberhardt Jérôme¹,Stote Roland H.¹,Dejaegere Annick¹^ORCID

Affiliation:

1. Biologie structurale intégrative Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de La Santé et de La Recherche Médicale (INSERM)U1258/Centre National de Recherche Scientifique (CNRS), UMR7104/Université de Strasbourg Illkirch France

Funder

Agence Nationale de la Recherche

Association pour la Recherche sur le Cancer

Centre National de la Recherche Scientifique

Institut National de la Santé et de la Recherche Médicale

Université de Strasbourg

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.25599

Reference60 articles.

1. M. A.Rohrdanz W.Zheng C.Clementi Annu. Rev. Phys. Chem.2013 64 295–316.

2. Slow dynamics in protein fluctuations revealed by time-structure based independent component analysis: The case of domain motions

3. Using sketch-map coordinates to analyze and bias molecular dynamics simulations

4. Markov state models of biomolecular conformational dynamics

5. Molecular dynamics simulations of large macromolecular complexes

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2. Software defect prediction based on non-linear manifold learning and hybrid deep learning techniques;Computers, Materials & Continua;2020

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