In this paper, current prediction methods and algorithms for both T‐and B cell epitopes are
reviewed, and a comprehensive summary of epitope prediction software and databases …

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 …

In this paper we describe an improved neural network method to predict T‐cell class I
epitopes. A novel input representation has been developed consisting of a combination of …

The distance‐dependent structure‐derived potentials developed so far all employed a
reference state that can be characterized as a residue (atom)‐averaged state. Here, we …

T cell epitope candidates are commonly identified using computational prediction tools in
order to enable applications such as vaccine design, cancer neoantigen identification …

The complete genome sequences of more than 60 microbes have been completed in the
past decade. Concurrently, a series of new informatic stools, designed to harness this new …

There has recently been an explosion in the number of structure-derived potential functions
that are based on the increasing number of high-resolution protein crystal structures. These …

Bioinformatics tools enable researchers to move rapidly from genome sequence to vaccine
design. EpiMer and EpiMatrix are computer-driven pattern-matching algorithms that identify …

Pairwise contact energies for 20 types of residues are estimated self‐consistently from the
actual observed frequencies of contacts with regression coefficients that are obtained by …

Background The main processing pathway for MHC class I ligands involves degradation of
proteins by the proteasome, followed by transport of products by the transporter associated …