TopicalPdb: A database of topically delivered peptides
Autor: | Gursimran Bedi, Ankur Gautam, Ayesha Mehta, Charu Sood, Deepika Mathur, Gajendra P. S. Raghava, Priyanka Firmal |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Multiple Alignment Calculation Bioinformatics Computer science Administration Topical Sequence Databases lcsh:Medicine Sequence alignment Peptide Nose Research and Analysis Methods computer.software_genre 030226 pharmacology & pharmacy Database and Informatics Methods 03 medical and health sciences 0302 clinical medicine Ocular System Computational Techniques Medicine and Health Sciences Database Searching Databases Protein Sequence Similarity Searching lcsh:Science Routes of Administration Pharmacology chemistry.chemical_classification Multidisciplinary Database lcsh:R Biology and Life Sciences Split-Decomposition Method Biological Databases 030104 developmental biology chemistry Face Eyes lcsh:Q Anatomy Peptides Sequence Analysis Sequence Alignment Head computer Research Article |
Zdroj: | PLoS ONE, Vol 13, Iss 2, p e0190134 (2018) PLoS ONE |
ISSN: | 1932-6203 |
DOI: | 10.1371/journal.pone.0190134 |
Popis: | TopicalPdb (http://crdd.osdd.net/raghava/topicalpdb/) is a repository of experimentally verified topically delivered peptides. Data was manually collected from research articles. The current release of TopicalPdb consists of 657 entries, which includes peptides delivered through the skin (462 entries), eye (173 entries), and nose (22 entries). Each entry provides comprehensive information related to these peptides like the source of origin, nature of peptide, length, N- and C-terminal modifications, mechanism of penetration, type of assays, cargo and biological properties of peptides, etc. In addition to natural peptides, TopicalPdb contains information of peptides having non-natural, chemically modified residues and D-amino acids. Besides this primary information, TopicalPdb stores predicted tertiary structures as well as peptide sequences in SMILE format. Tertiary structures of peptides were predicted using state-of-art method PEPstrMod. In order to assist users, a number of web-based tools have been integrated that includes keyword search, data browsing, similarity search and structural similarity. We believe that TopicalPdb is a unique database of its kind and it will be very useful in designing peptides for non-invasive topical delivery. |
Databáze: | OpenAIRE |
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