Disorder Atlas: Web-based software for the proteome-based interpretation of intrinsic disorder predictions-Reference-Cited by-同舟云学术

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Disorder Atlas: Web-based software for the proteome-based interpretation of intrinsic disorder predictions

Published:2019-12 Issue: Volume:83 Page:107090
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Vincent Michael,Schnell Santiago^ORCID

Funder

University of Michigan Protein Folding Diseases Initiative

Research Discovery Fund

NIH/NIDDK

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference16 articles.

1. Disorder prediction methods, their applicability to different protein targets and their usefulness for guiding experimental studies;Atkins;Int. J. Mol. Sci.,2015

2. MobiDB: a comprehensive database of intrinsic protein disorder annotations;Di Domenico;Bioinformatics,2012

3. The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins;Dosztanyi;J. Mol. Biol.,2005

4. IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content;Dosztanyi;Bioinformatics,2005

5. CIDER: resources to analyze sequence-ensemble relationships of intrinsically disordered proteins;Holehouse;Biophys. J.,2017

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