PEPOP 2.0: new approaches to mimic non-continuous epitopes - Archive ouverte HAL Access content directly
Journal Articles BMC Bioinformatics Year : 2019

PEPOP 2.0: new approaches to mimic non-continuous epitopes

Abstract

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
Origin : Publisher files allowed on an open archive

Dates and versions

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

Licence

Attribution

Identifiers

Cite

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⟩
216 View
54 Download

Altmetric

Share

Gmail Facebook X LinkedIn More