There is an urgent need for effective countermeasures against the current emergence and
accelerating expansion of coronavirus disease 2019 (COVID-19), caused by severe acute …

The use of vaccines have resulted in a remarkable improvement in global health. It has
saved several lives, reduced treatment costs and raised the quality of animal and human …

Onchocerciasis is a parasitic disease with high socio-economic burden particularly in sub-
Saharan Africa. The elimination plan for this disease has faced numerous challenges. A …

Computational vaccinology includes epitope mapping, antigen selection, and immunogen
design using computational tools. Tools that facilitate the in silico prediction of immune …

Motivation Reverse vaccinology (RV) is a milestone in rational vaccine design, and machine
learning (ML) has been applied to enhance the accuracy of RV prediction. However, ML …

Helicobacter pylori is a highly potential pathogen to colonize in the human stomach. This
bacterial strain is now alarming serious health concern all over the world. Combating …

Abstract Crimean Congo Hemorrhagic Fever virus (CCHFV) is a deadly human pathogen
that causes an emerging zoonotic disease with a broad geographic spread, especially in …

We present a combinatorial machine learning method to evaluate and optimize peptide
vaccine formulations for SARS-CoV-2. Our approach optimizes the presentation likelihood of …

Introduction Due to overcome the hardness of the vaccine design, computational
vaccinology is emerging widely. Prediction of T cell and B cell epitopes, antigen processing …

Multi-epitope peptide vaccines, as a kind of fusion proteins, usually possess a string-of-
beads structure, consisting of several peptidic epitopes, probably adjuvants and linkers …