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AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides.
 
Creator Kumar, Ravi
Chaudhary, Kumardeep
Sharma, Minakshi
Nagpal, Gandharva
Chauhan, Jagat Singh
Singh, Sandeep
Gautam, Ankur
Raghava, G.P.S.
 
Subject QR Microbiology
 
Description AHTPDB (http://crdd.osdd.net/raghava/ahtpdb/) is a manually curated database of experimentally validated antihypertensive peptides. Information pertaining to peptides with antihypertensive activity was collected from research articles and from various peptide repositories. These peptides were derived from 35 major sources that include milk, egg, fish, pork, chicken, soybean, etc. In AHTPDB, most of the peptides belong to a family of angiotensin-I converting enzyme inhibiting peptides. The current release of AHTPDB contains 5978 peptide entries among which 1694 are unique peptides. Each entry provides detailed information about a peptide like sequence, inhibitory concentration (IC50), toxicity/bitterness value, source, length, molecular mass and information related to purification of peptides. In addition, the database provides structural information of these peptides that includes predicted tertiary and secondary structures. A user-friendly web interface with various tools has been developed to retrieve and analyse the data. It is anticipated that AHTPDB will be a useful and unique resource for the researchers working in the field of antihypertensive peptides.
 
Publisher Oxford University Press
 
Date 2015-01
 
Type Article
PeerReviewed
 
Relation http://nar.oxfordjournals.org/content/43/D1/D956.long
http://crdd.osdd.net/open/1777/
 
Identifier Kumar, Ravi and Chaudhary, Kumardeep and Sharma, Minakshi and Nagpal, Gandharva and Chauhan, Jagat Singh and Singh, Sandeep and Gautam, Ankur and Raghava, G.P.S. (2015) AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides. Nucleic acids research, 43 (Databa). D956-62. ISSN 1362-4962