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  DescribePROT: database of amino acid-level protein structure and function predictions

Zhao, B., Katuwawala, A., Oldfield, C. J., Dunker, A. K., Faraggi, E., Gsponer, J., et al. (2021). DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Research, 49(D1), D298-D308. doi:10.1093/nar/gkaa931.

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Zhao, B., Author
Katuwawala, A., Author
Oldfield, C. J., Author
Dunker, A. K., Author
Faraggi, E., Author
Gsponer, J., Author
Kloczkowski, A., Author
Malhis, N., Author
Mirdita, M.1, Author              
Obradovic, Z., Author
Soding, J.1, Author              
Steinegger, M., Author
Zhou, Y., Author
Kurgan, L., Author
Affiliations:
1Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286              

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 Abstract: We present DescribePROT, the database of predicted amino acid-level descriptors of structure and function of proteins. DescribePROT delivers a comprehensive collection of 13 complementary descriptors predicted using 10 popular and accurate algorithms for 83 complete proteomes that cover key model organisms. The current version includes 7.8 billion predictions for close to 600 million amino acids in 1.4 million proteins. The descriptors encompass sequence conservation, position specific scoring matrix, secondary structure, solvent accessibility, intrinsic disorder, disordered linkers, signal peptides, MoRFs and interactions with proteins, DNA and RNAs. Users can search DescribePROT by the amino acid sequence and the UniProt accession number and entry name. The pre-computed results are made available instantaneously. The predictions can be accesses via an interactive graphical interface that allows simultaneous analysis of multiple descriptors and can be also downloaded in structured formats at the protein, proteome and whole database scale. The putative annotations included by DescriPROT are useful for a broad range of studies, including: investigations of protein function, applied projects focusing on therapeutics and diseases, and in the development of predictors for other protein sequence descriptors. Future releases will expand the coverage of DescribePROT. DescribePROT can be accessed at http://biomine.cs.vcu.edu/servers/DESCRIBEPROT/.

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Language(s): eng - English
 Dates: 2020-10-292021-01-08
 Publication Status: Published in print
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 Rev. Type: Peer
 Identifiers: DOI: 10.1093/nar/gkaa931
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Title: Nucleic Acids Research
Source Genre: Journal
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Pages: - Volume / Issue: 49 (D1) Sequence Number: - Start / End Page: D298 - D308 Identifier: -