In Silico Identification of Antiviral Peptides as Potential Leads Against Sudan Ebolavirus VP-40.

ABSTRACT: The continued reemergence of Ebola virus epidemics remains a global health concern, largely due to limited therapeutic interventions. This study is aimed at identifying and characterizing antiviral peptides as potential lead candidates against the Sudan Ebola virus. We retrieved antiviral peptides from the AVPdb and designed novel peptides from them using support vector machine, RF, and discriminant analysis algorithms. The toxicity and allergenicity predictions were performed using ToxinPred, ADMETLab 3.0, Allertop, and AllergenFP web servers, respectively. The 3D structures of selected peptides were modeled using PEP-FOLD and I-TASSER and validated using ProSA and PROCHECK web servers. The best peptide models were docked against the Sudan Ebola virus VP-40 protein using HDOCK and ClusPro

SUBMITTER: Omara B 

PROVIDER: S-EPMC12835197 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature