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Previous issue date: 2014National Institute of Science and Technology of Tropical Diseases (Instituto Nacional de
Ci^encia e Tecnologia de Doenc as Tropicais – INCT-DT), MCT/CNPq,Federal University of Bahia. University Hospital Complex Professor Edgard Santos. Program in Medicine and Health. Salvador, BA, Brazil / Federal University of Campina Grande. Academic Nursing Unit. Cajazeiras, CG, BrazilFaculdade Santa Maria. Santa Maria College. Cajazeiras, CG, BrazilFederal University of Campina Grande. Veterinary Medicine Graduate. Program in Veterinary Medicine Academic Unit. Patos, CG, BrasilFederal University of Campina Grande. Academic Unit of Exact and Natural Sciences. Cajazeiras, CG, BrazilFederal University of Campina Grande. Academic Unit Veterinary Medicine. Patos, CG, BrazilFederal University of Pernambuco. Department of Genetics. Recife, PE, BrazilFederal University of Bahia. Professor Edgard Santos University Hospital Complex. Graduate Program in Medicine and Health, Immunology Service. Salvador, BA, Brazil / National Institute of Science and Technology of Tropical Diseases. Salvador, BA, BrazilFederal University of Campina Grande. Academic Unit Veterinary Medicine. Patos, CG, BrazilSerodiagnosis of visceral leishmaniasis is often hindered by cross-reactions to other parasitic diseases. Identifying specific B-cell epitopes in proteins is therefore important for immunodiagnostics, as well as for disease control by vaccines. This study aimed to identify linear and conformational B-cell epitopes and to evaluate the secondary structure of antigen proteins in Leishmania infantum using in silico analysis. Linear epitopes were predicted using the Immune Epitope Database and Analysis Resource (IEDB), BepiPred and BcePred programs. The conformational B-cell epitopes were identified using the CBTOPE server. The combination of the predictions using IEDB, BepiPred and BcePred generated 148 linear epitopes from the calpain-like cysteine peptidase (CP), thiol-dependent reductase 1 (TDR1) and HSP70 proteins. In total, 164 conformational epitopes were predicted, mostly located in the linear epitope region. The predicted epitopes are located in α helix and random coil regions in the thiol-dependent reductase 1 and HSP70 proteins. New linear and conformational B-cell epitopes of L. infantum proteins were identified in silico, and the prediction using various programs ensures greater accuracy of the results, as suggested by confirmation of previously identified HSP70 epitopes
