Predicting Conformational Ensembles of Intrinsically Disordered Proteins: From Molecular Dynamics to Machine Learning-Reference-Cited by-同舟云学术

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Predicting Conformational Ensembles of Intrinsically Disordered Proteins: From Molecular Dynamics to Machine Learning

Published:2024-08-02 Issue:32 Volume:15 Page:8177-8186
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Aupič Jana¹^ORCID,Pokorná Pavlína¹^ORCID,Ruthstein Sharon²^ORCID,Magistrato Alessandra¹^ORCID

Affiliation:

1. CNR-IOM at International School for Advanced Studies (SISSA/ISAS), via Bonomea 265, 34136 Trieste, Italy

2. Department of Chemistry, Faculty of Exact Sciences and the Institute for Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, 5290002 Ramat-Gan, Israel

Funder

Israel Science Foundation

Associazione Italiana per la Ricerca sul Cancro

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.4c01544

Reference99 articles.

1. Intrinsically disordered protein

2. The molecular basis for cellular function of intrinsically disordered protein regions

3. FuzPred: a web server for the sequence-based prediction of the context-dependent binding modes of proteins

4. The sequence–ensemble relationship in fuzzy protein complexes

5. Sequence-Based Prediction of Fuzzy Protein Interactions

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