A Stochastic Landscape Approach for Protein Folding State Classification-Reference-Cited by-同舟云学术

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A Stochastic Landscape Approach for Protein Folding State Classification

Published:2024-06-26 Issue:13 Volume:20 Page:5428-5438
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Faran Michael¹,Ray Dhiman²^ORCID,Nag Shubhadeep¹,Raucci Umberto²^ORCID,Parrinello Michele²^ORCID,Bisker Gili¹³⁴⁵^ORCID

Affiliation:

1. Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel

2. Atomistic Simulations, Italian Institute of Technology, Via Enrico Melen 83, 16152 Genova, Italy

3. The Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel

4. The Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 6997801, Israel

5. The Center for Light-Matter Interaction, Tel Aviv University, Tel Aviv 6997801, Israel

Funder

European Research Council

Army Research Office

Air Force Office of Scientific Research

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.4c00464

Reference86 articles.

1. Dominant forces in protein folding

2. The Protein-Folding Problem, 50 Years On

3. PATHWAYS OF PROTEIN FOLDING

4. Are there pathways for protein folding?

5. The protein folding problem: when will it be solved?

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1. A Stochastic Landscape Approach for Protein Folding State Classification;Journal of Chemical Theory and Computation;2024-06-26

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