When a living organism encounters a pathogenic virus ormicrobe, the B cells of the immune system recognize the pathogen’s antigens by their membrane-bound immunoglobulin receptors and, in response, produce antibodies specific to these antigens. The term antigen refers to any entity—a cell, a macromolecular assembly, or a molecule—that may be bound by either a B-cell receptor or an antibody mole...

Motivation: A good quantitative epitope prediction, i.e. a reliable prediction of the strength of the MHC-epitope binding, is decisive in order to better understand the immune system response. The prediction is often performed by means of the scoring-matrix method that usually assumes a single binding configuration: each amino acid of the epitope binds to a specific pocket of the MHC molecule, ...

Identification of B-cell epitopes is a fundamental step for development of epitope-based vaccines, therapeutic antibodies, and diagnostic tools. Epitope-based antibodies are currently the most promising class of biopharmaceuticals. In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope predict...

Brucellosis, caused by the genus Brucella bacterium, is a well-known infection among domestic animals. Considering the serious economic and medical consequences of this infection, various preventive efforts have been made through using recombinant vaccines, based on outer membrane protein (OMP) antigens of Brucella species. The objective of the present study was to clone, analyze the sequence, ...

Predicting of conformational epitope is one of the major challenge in the field of vaccine design. Several methods have been developed for predicting conformational epitope but that methods have mostly been based on protein sequence and not very effective. This is the first attempt in this are to predict conformational epitope using fuzzy inference system mamdani. The proposed method based on a...

MOTIVATION B-cell epitope is a small area on the surface of an antigen that binds to an antibody. Accurately locating epitopes is of critical importance for vaccine development. Compared with wet-lab methods, computational methods have strong potential for efficient and large-scale epitope prediction for antigen candidates at much lower cost. However, it is still not clear which features are go...

Epitopes are antigenic determinants that are useful because they induce B-cell antibody production and stimulate T-cell activation. Bioinformatics can enable rapid, efficient prediction of potential epitopes. Here, we designed a novel B-cell linear epitope prediction system called LEPS, Linear Epitope Prediction by Propensities and Support Vector Machine, that combined physico-chemical propensi...

Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases. However, since the number of available mimotopes with the relevant structure of template-target complex is limited, a systematic evaluation of thes...

the object of this cross sectional study was to determine the hcv subtype 3a envelope protein binding affinity with human leukocyte antigen. envelope 1 (e1) protein is one of the structural proteins responsible for entering the cells through the receptors. the binding affinity of e1 protein epitopes to the selected human leukocyte antigen (hla) class i alleles was investigated using the compute...