DBAASP: Database of Antimicrobial Activity and Structure of Peptides
| Autor: | Giorgi Gogoladze, Mindia Chubinidze, Boris Vishnepolsky, Maia Grigolava, Patrice Duroux, Malak Pirtskhalava, Marie-Paule Lefranc |
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| Přispěvatelé: | Laboratory of Bioinformatics, Ivane Beritashvili Center of Experimental Biomedicine, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
chemistry.chemical_classification
[SDV.GEN]Life Sciences [q-bio]/Genetics Database Databases Factual Chemical structure Antimicrobial peptides Rational design Peptide Biology Ribosomal RNA computer.software_genre Antimicrobial Microbiology chemistry Anti-Infective Agents Genetics Peptides Molecular Biology computer Algorithms ComputingMilieux_MISCELLANEOUS Antimicrobial Cationic Peptides |
| Zdroj: | FEMS Microbiology Letters FEMS Microbiology Letters, Wiley-Blackwell, 2014, 357 (1), pp.63-68. ⟨10.1111/1574-6968.12489⟩ |
| ISSN: | 0378-1097 1574-6968 |
| DOI: | 10.1111/1574-6968.12489⟩ |
| Popis: | The Database of Antimicrobial Activity and Structure of Peptides (DBAASP) is a manually curated database for those peptides for which antimicrobial activity against particular targets has been evaluated experimentally. The database is a depository of complete information on: the chemical structure of peptides; target species; target object of cell; peptide antimicrobial/haemolytic/cytotoxic activities; and experimental conditions at which activities were estimated. The DBAASP search page allows the user to search peptides according to their structural characteristics, complexity type (monomer, dimer and two-peptide), source, synthesis type (ribosomal, nonribosomal and synthetic) and target species. The database prediction algorithm provides a tool for rational design of new antimicrobial peptides. DBAASP is accessible at http://www.biomedicine.org.ge/dbaasp/. |
| Databáze: | OpenAIRE |
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