StraPep: a structure database of bioactive peptides
Autor: | Xuwen Xiao, Tailang Yin, Dan He, Zhidong Xue, Jian Wang, Xinnong Jiang, Yan Wang |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Structure (mathematical logic) Amino Acid Motifs business.industry MEDLINE Computational biology Jian wang Biology General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 030104 developmental biology Text mining Post translational Protein processing Original Article Databases Protein Peptides General Agricultural and Biological Sciences business Protein Processing Post-Translational Information Systems |
Zdroj: | Database: The Journal of Biological Databases and Curation |
ISSN: | 1758-0463 |
Popis: | Bioactive peptides, with a variety of biological activities and wide distribution in nature, have attracted great research interest in biological and medical fields, especially in pharmaceutical industry. The structural information of bioactive peptide is important for the development of peptide-based drugs. Many databases have been developed cataloguing bioactive peptides. However, to our knowledge, database dedicated to collect all the bioactive peptides with known structure is not available yet. Thus, we developed StraPep, a structure database of bioactive peptides. StraPep holds 3791 bioactive peptide structures, which belong to 1312 unique bioactive peptide sequences. About 905 out of 1312 (68%) bioactive peptides in StraPep contain disulfide bonds, which is significantly higher than that (21%) of PDB. Interestingly, 150 out of 616 (24%) bioactive peptides with three or more disulfide bonds form a structural motif known as cystine knot, which confers considerable structural stability on proteins and is an attractive scaffold for drug design. Detailed information of each peptide, including the experimental structure, the location of disulfide bonds, secondary structure, classification, post-translational modification and so on, has been provided. A wide range of user-friendly tools, such as browsing, sequence and structure-based searching and so on, has been incorporated into StraPep. We hope that this database will be helpful for the research community. Database URL: http://isyslab.info/StraPep |
Databáze: | OpenAIRE |
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