A method has been developed for prediction of binding affinities between proteins and
peptides. We exemplify the method through its application to binding predictions of peptides …

It would be useful for vaccine development to develop a method of rapidly identifying
peptide epitopes. In this paper, the empirical three-dimensional quantitative structure-affinity …

A three‐dimensional quantitative structure‐activity relationship method for the prediction of
peptide binding affinities to the MHC class I molecule HLA‐A* 0201 was developed by …

It is important but challenging to determine the binding specificity of MHC-peptide
interactions accurately and to predict their binding affinity quantitatively. In this paper, we …

A simple and fast free energy scoring function (Fresno) has been developed to predict the
binding free energy of peptides to class I major histocompatibility (MHC) proteins. It differs …

Motivation: Various methods have been proposed to predict the binding affinities of peptides
to Major Histocompatibility Complex class I (MHC-I) molecules based on experimental …

Major Histo-Compatibility (MHC) class I molecules are major agents of the mammalian
adaptive immune system. Class I molecules bind short antigenic peptides with a length of 8 …

MOTIVATION: Prediction methods for identifying binding peptides could minimize the
number of peptides required to be synthesized and assayed, and thereby facilitate the …

In this paper, we have handpicked 23 kinds of electronic properties, 37 kinds of steric
properties, 54 kinds of hydrophobic properties and 5 kinds of hydrogen bond properties from …

Background Experts in peptide: MHC binding studies are often able to estimate the impact of
a single residue substitution based on a heuristic understanding of amino acid similarity in …