DBAASP: database of antimicrobial activity and structure of peptides

scientific article published on 10 July 2014

DBAASP: database of antimicrobial activity and structure of peptides is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1111/1574-6968.12489
P698PubMed publication ID24888447
P5875ResearchGate publication ID262814863

P2093author name stringMarie-Paule Lefranc
Patrice Duroux
Boris Vishnepolsky
Maia Grigolava
Malak Pirtskhalava
Mindia Chubinidze
Giorgi Gogoladze
P2860cites workBACTIBASE: a new web-accessible database for bacteriocin characterizationQ21263076
PhytAMP: a database dedicated to antimicrobial plant peptidesQ24655836
Only six kingdoms of lifeQ24678252
Structures of human host defense cathelicidin LL-37 and its smallest antimicrobial peptide KR-12 in lipid micellesQ27652293
Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?Q29547675
CAMP: Collection of sequences and structures of antimicrobial peptidesQ30414213
Diversity of monomers in nonribosomal peptides: towards the prediction of origin and biological activity.Q33652301
Prediction of linear cationic antimicrobial peptides based on characteristics responsible for their interaction with the membranesQ33685084
Antimicrobial peptides: premises and promisesQ34369795
Defensins knowledgebase: a manually curated database and information source focused on the defensins family of antimicrobial peptidesQ35179227
DAMPD: a manually curated antimicrobial peptide databaseQ35630683
IMGT-ONTOLOGY 2012.Q35981749
PenBase, the shrimp antimicrobial peptide penaeidin database: sequence-based classification and recommended nomenclatureQ38414497
RAPD: a database of recombinantly-produced antimicrobial peptidesQ40021944
The Peptaibol Database: a database for sequences and structures of naturally occurring peptaibolsQ40403386
APD2: the updated antimicrobial peptide database and its application in peptide designQ43122430
YADAMP: yet another database of antimicrobial peptides.Q44974020
P433issue1
P304page(s)63-68
P577publication date2014-07-10
P1433published inFEMS Microbiology LettersQ15756366
P1476titleDBAASP: database of antimicrobial activity and structure of peptides
P478volume357

Reverse relations

cites work (P2860)
Q36434966APD3: the antimicrobial peptide database as a tool for research and education
Q39038104Computational resources and tools for antimicrobial peptides
Q36434759DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides
Q31076607DRAMP: a comprehensive data repository of antimicrobial peptides
Q38768190Engineered cationic antimicrobial peptide (eCAP) prevents Pseudomonas aeruginosa biofilm growth on airway epithelial cells
Q35653429Fusion with a cell wall binding domain renders autolysin LytM a potent anti-Staphylococcus aureus agent
Q36283847HemoPred: a web server for predicting the hemolytic activity of peptides.
Q40476669Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types.
Q90005476Metal Binding Antimicrobial Peptides in Nanoparticle Bio-functionalization: New Heights in Drug Delivery and Therapy
Q90479741Opossum Cathelicidins Exhibit Antimicrobial Activity Against a Broad Spectrum of Pathogens Including West Nile Virus
Q41145077Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences.
Q51960837PepBio: predicting the bioactivity of host defense peptides
Q40635352Perspectives on polymeric nanostructures for the therapeutic application of antimicrobial peptides
Q45956289Piloting the membranolytic activities of peptides with a self-organizing map.
Q99578694Plant Antimicrobial Peptides: State of the Art, In Silico Prediction and Perspectives in the Omics Era
Q57319273Prediction of Antitubercular Peptides From Sequence Information Using Ensemble Classifier and Hybrid Features
Q40363443SATPdb: a database of structurally annotated therapeutic peptides
Q47590618Solid-Binding Peptides in Biomedicine.
Q92240205Toward insights on determining factors for high activity in antimicrobial peptides via machine learning

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