QSPR-Perturbation Models for the Prediction of B-Epitopes from Immune Epitope Database: A Potentially Valuable Route for Predicting “In Silico” New Optimal Peptide Sequences and/or Boundary Conditions for Vaccine Development-Reference-Cited by-同舟云学术

QSPR-Perturbation Models for the Prediction of B-Epitopes from Immune Epitope Database: A Potentially Valuable Route for Predicting “In Silico” New Optimal Peptide Sequences and/or Boundary Conditions for Vaccine Development

Published:2016-03-19 Issue:4 Volume:22 Page:445-450
ISSN:1573-3149
Container-title:International Journal of Peptide Research and Therapeutics
language:en
Short-container-title:Int J Pept Res Ther

Author:

Vázquez-Prieto Severo,Paniagua Esperanza,Ubeira Florencio M.,González-Díaz Humberto

Funder

Xunta de Galicia

Ministerio de Ciencia, Tecnología e Innovación

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Molecular Medicine,Biochemistry,Bioengineering,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s10989-016-9524-x.pdf

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