SEPPA 3.0—enhanced spatial epitope prediction enabling glycoprotein antigens

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SEPPA: a computational server for spatial epitope prediction of protein antigens

In recent years, a lot of efforts have been made in conformational epitope prediction as antigen proteins usually bind antibodies with an assembly of sequentially discontinuous and structurally compact surface residues. Currently, only a few methods for spatial epitope prediction are available with focus on single residue propensity scales or continual segments clustering. In the method of SEPP...

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Spatial Epitope Prediction server for Protein Antigens (SEPPA) has received lots of feedback since being published in 2009. In this improved version, relative ASA preference of unit patch and consolidated amino acid index were added as further classification parameters in addition to unit-triangle propensity and clustering coefficient which were previously reported. Then logistic regression mod...

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B-cell Epitope Prediction

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...

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Retraction: Structure based sequence analysis & epitope prediction of gp41 HIV1 envelope glycoprotein isolated in Pakistan

This article [1] is retracted by the Editor because the peer review process was compromised due to a referee's undeclared conflict of interest. Based on post-publication peer review the Editor cannot trust the veracity of the findings. We apologize to all affected parties.

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Structure based sequence analysis & epitope prediction of gp41 HIV1 envelope glycoprotein isolated in Pakistan

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ژورنال

عنوان ژورنال: Nucleic Acids Research

سال: 2019

ISSN: 0305-1048,1362-4962

DOI: 10.1093/nar/gkz413