ProCaff: protein-carbohydrate complex binding affinity database.
Autor: | Siva Shanmugam NR; Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, India., Jino Blessy J; Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, India., Veluraja K; School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Michael Gromiha M; Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai 600036, India. |
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Jazyk: | angličtina |
Zdroj: | Bioinformatics (Oxford, England) [Bioinformatics] 2020 Jun 01; Vol. 36 (11), pp. 3615-3617. |
DOI: | 10.1093/bioinformatics/btaa141 |
Abstrakt: | Motivation: Protein-carbohydrate interactions perform several cellular and biological functions and their structure and function are mainly dictated by their binding affinity. Although plenty of experimental data on binding affinity are available, there is no reliable and comprehensive database in the literature. Results: We have developed a database on binding affinity of protein-carbohydrate complexes, ProCaff, which contains 3122 entries on dissociation constant (Kd), Gibbs free energy change (ΔG), experimental conditions, sequence, structure and literature information. Additional features include the options to search, display, visualization, download and upload the data. Availability and Implementation: The database is freely available at http://web.iitm.ac.in/bioinfo2/procaff/. The website is implemented using HTML and PHP and supports recent versions of major browsers such as Chrome, Firefox, IE10 and Opera. Contact: gromiha@iitm.ac.in. Supplementary Information: Supplementary data are available at Bioinformatics online. (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.) |
Databáze: | MEDLINE |
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