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

  1. Vázquez-Prieto, S.
  2. Paniagua, E.
  3. Ubeira, F.M.
  4. González-Díaz, H.
Zeitschrift:
International Journal of Peptide Research and Therapeutics

ISSN: 1573-3904,  1573-3149

Datum der Publikation: 2016

Ausgabe: 22

Nummer: 4

Seiten: 445-450

Art: Artikel

DOI: 10.1007/S10989-016-9524-X GOOGLE SCHOLAR
Datenquelle: Scopus