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                                       Details for article 12 of 13 found articles
 
 
  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
 
 
Title: 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
Author: Vázquez-Prieto, Severo
Paniagua, Esperanza
Ubeira, Florencio M.
González-Díaz, Humberto
Appeared in: International journal of peptide research and therapeutics
Paging: Volume 22 (2016) nr. 4 pages 445-450
Year: 2016
Contents:
Publisher: Springer Netherlands, Dordrecht
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 12 of 13 found articles
 
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