2012
DOI: 10.4172/jpb.1000217
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Structural Epitope Database (SEDB): A Web-based Database for the Epitope, and its Intermolecular Interaction Along with the Tertiary Structure Information

Abstract: An epitope is an antigenic determinant. It is a part of antigen, which is recognized by specific receptor of the immune system, exclusively by antibodies, B-cells or T-cells. Thus, exhaustive molecular knowledge of epitopes will have great implications for vaccine and drug design. Existing epitope databases are lacking complete structural information of epitopes. Therefore, we have developed an open-access database for describing the three-dimensional structure of epitopes and its interaction with antigens and… Show more

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Cited by 8 publications
(7 citation statements)
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“…SEDB collects related information of epitopes, like gene-ontology information, Ag-Ab interaction graph, and epitopes location in protein with interaction data, which are missing in currently available epitope databases [62]. …”
Section: B-cell Epitope Databasesmentioning
confidence: 99%
“…SEDB collects related information of epitopes, like gene-ontology information, Ag-Ab interaction graph, and epitopes location in protein with interaction data, which are missing in currently available epitope databases [62]. …”
Section: B-cell Epitope Databasesmentioning
confidence: 99%
“…Due to technological advances in proteomics and sequence mapping, epitope databases have been constructed that provide a library of existing epitopes and methods of prediction. Several databases exist such as IEDB, Epitome, and SEDB [208][209][210] , that provide information on two dimensional epitopes that are recognized by T cells.…”
Section: In Silico Predictionsmentioning
confidence: 99%
“…Researchers at IISc, Bangalore have developed quite a few protein databases related to structure and function of protein kinases like ‘KinG’, NrichD, PALI, PRODOC and MulPSSM [142144]. A number of protein databases such as PepBind, Immune Epitope Prediction Database & Tools, SEDB, Clostridium-DT(DB), and VPDB have originated from the Center of Bioinformatics in Pondicherry University [145147]. Databases of protein features, resources for signaling and metabolic pathways intrinsic to specific biological processes, and repositories of disease-specific molecular level changes will help researchers use systems biology approaches to understand disease mechanisms in greater detail.…”
Section: Reviewmentioning
confidence: 99%