ImmunoSPdb: an archive of immunosuppressive peptides.
DIR@IMTECH: CSIR-Institute of Microbial Technology
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Title |
ImmunoSPdb: an archive of immunosuppressive peptides.
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Creator |
Usmani, Salman Sadullah
Agrawal, Piyush Sehgal, Manika Patel, Pradeep Kumar Raghava, G.P.S. |
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Subject |
QR Microbiology
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Description |
Immunosuppression proved as a captivating therapy in several autoimmune disorders, asthma as well as in organ transplantation. Immunosuppressive peptides are specific for reducing efficacy of immune system with wide range of therapeutic implementations. `ImmunoSPdb' is a comprehensive, manually curated database of around 500 experimentally verified immunosuppressive peptides compiled from 79 research article and 32 patents. The current version comprises of 553 entries providing extensive information including peptide name, sequence, chirality, chemical modification, origin, nature of peptide, its target as well as mechanism of action, amino acid frequency and composition, etc. Data analysis revealed that most of the immunosuppressive peptides are linear (91%), are shorter in length i.e. up to 20 amino acids (62%) and have L form of amino acids (81%). About 30% peptide are either chemically modified or have end terminal modification. Most of the peptides either are derived from proteins (41%) or naturally (27%) exist. Blockage of potassium ion channel (24%) is one a major target for immunosuppressive peptides. In addition, we have annotated tertiary structure by using PEPstrMOD and I-TASSER. Many user-friendly, web-based tools have been integrated to facilitate searching, browsing and analyzing the data. We have developed a user-friendly responsive website to assist a wide range of users.
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Publisher |
Oxford Academic
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Date |
2019-01-01
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Type |
Article
PeerReviewed |
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Identifier |
Usmani, Salman Sadullah and Agrawal, Piyush and Sehgal, Manika and Patel, Pradeep Kumar and Raghava, G.P.S. (2019) ImmunoSPdb: an archive of immunosuppressive peptides. Database : the journal of biological databases and curation, 2019. ISSN 1758-0463
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Relation |
http://crdd.osdd.net/open/2172/
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