Literature DB >> 24888447

DBAASP: database of antimicrobial activity and structure of peptides.

Giorgi Gogoladze1, Maia Grigolava, Boris Vishnepolsky, Mindia Chubinidze, Patrice Duroux, Marie-Paule Lefranc, Malak Pirtskhalava.   

Abstract

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/.
© 2014 Federation of European Microbiological Societies. Published by John Wiley & Sons Ltd. All rights reserved.

Keywords:  antimicrobial activity; antimicrobial peptide; database; haemolytic/cytotoxic activity

Mesh:

Substances:

Year:  2014        PMID: 24888447     DOI: 10.1111/1574-6968.12489

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


  23 in total

1.  Engineered cationic antimicrobial peptide (eCAP) prevents Pseudomonas aeruginosa biofilm growth on airway epithelial cells.

Authors:  Lauren P Lashua; Jeffrey A Melvin; Berthony Deslouches; Joseph M Pilewski; Ronald C Montelaro; Jennifer M Bomberger
Journal:  J Antimicrob Chemother       Date:  2016-05-26       Impact factor: 5.790

Review 2.  Metal Binding Antimicrobial Peptides in Nanoparticle Bio-functionalization: New Heights in Drug Delivery and Therapy.

Authors:  Hichem Moulahoum; Faezeh Ghorbani Zamani; Suna Timur; Figen Zihnioglu
Journal:  Probiotics Antimicrob Proteins       Date:  2020-03       Impact factor: 4.609

3.  Fusion with a cell wall binding domain renders autolysin LytM a potent anti-Staphylococcus aureus agent.

Authors:  Daniel C Osipovitch; Karl E Griswold
Journal:  FEMS Microbiol Lett       Date:  2014-12-08       Impact factor: 2.742

4.  APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures.

Authors:  Patrick Brendan Timmons; Chandralal M Hewage
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

5.  Structure-Activity Predictions From Computational Mining of Protein Databases to Assist Modular Design of Antimicrobial Peptides.

Authors:  Claudia Feurstein; Vera Meyer; Sascha Jung
Journal:  Front Microbiol       Date:  2022-04-15       Impact factor: 6.064

6.  Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types.

Authors:  Weizhong Lin; Dong Xu
Journal:  Bioinformatics       Date:  2016-08-26       Impact factor: 6.937

7.  Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides.

Authors:  Duy Phuoc Tran; Seiichi Tada; Akiko Yumoto; Akio Kitao; Yoshihiro Ito; Takanori Uzawa; Koji Tsuda
Journal:  Sci Rep       Date:  2021-05-20       Impact factor: 4.379

8.  Piloting the membranolytic activities of peptides with a self-organizing map.

Authors:  Yen-Chu Lin; Jan A Hiss; Petra Schneider; Peter Thelesklaf; Yi Fan Lim; Max Pillong; Fabian M Koehler; Petra S Dittrich; Cornelia Halin; Silja Wessler; Gisbert Schneider
Journal:  Chembiochem       Date:  2014-09-09       Impact factor: 3.164

9.  Machine learning designs non-hemolytic antimicrobial peptides.

Authors:  Alice Capecchi; Xingguang Cai; Hippolyte Personne; Thilo Köhler; Christian van Delden; Jean-Louis Reymond
Journal:  Chem Sci       Date:  2021-06-07       Impact factor: 9.825

10.  DRAMP: a comprehensive data repository of antimicrobial peptides.

Authors:  Linlin Fan; Jian Sun; Meifeng Zhou; Jie Zhou; Xingzhen Lao; Heng Zheng; Hanmei Xu
Journal:  Sci Rep       Date:  2016-04-14       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.