PEPOP 2.0: new approaches to mimic non-continuous epitopes - lab-STICC-UBS Accéder directement au contenu
Article Dans Une Revue BMC Bioinformatics Année : 2019

PEPOP 2.0: new approaches to mimic non-continuous epitopes

Résumé

BACKGROUND: Bioinformatics methods are helpful to identify new molecules for diagnostic or therapeutic applications. For example, the use of peptides capable of mimicking binding sites has several benefits in replacing a protein which is difficult to produce, or toxic. Using peptides is less expensive. Peptides are easier to manipulate, and can be used as drugs. Continuous epitopes predicted by bioinformatics tools are commonly used and these sequential epitopes are used as is in further experiments. Numerous discontinuous epitope predictors have been developed but only two bioinformatics tools have been proposed so far to predict peptide sequences: Superficial and PEPOP 2.0. PEPOP 2.0 can generate series of peptide sequences that can replace continuous or discontinuous epitopes in their interaction with their cognate antibody.
Fichier principal
Vignette du fichier
s12859-019-2867-5.pdf (4.53 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-02277257 , version 1 (09-03-2021)

Licence

Paternité

Identifiants

Citer

Vincent Demolombe, Alexandre de Brevern, Liza L. Felicori, Christophe Nguyen, Ricardo Andrez Machado de Avila, et al.. PEPOP 2.0: new approaches to mimic non-continuous epitopes. BMC Bioinformatics, 2019, 20 (1), ⟨10.1186/s12859-019-2867-5⟩. ⟨hal-02277257⟩
215 Consultations
53 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More