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

dc.creatorVázquez-Prieto S.
dc.creatorPaniagua E.
dc.creatorUbeira F.M.
dc.creatorGonzález-Díaz H.
dc.date.accessioned2020-09-02T22:30:31Z
dc.date.accessioned2022-11-08T20:23:36Z
dc.date.available2020-09-02T22:30:31Z
dc.date.available2022-11-08T20:23:36Z
dc.date.created2020-09-02T22:30:31Z
dc.date.issued2016
dc.identifier22, 4, 445-450
dc.identifier15733149
dc.identifierhttps://hdl.handle.net/20.500.12728/6622
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5144910
dc.languageen
dc.publisherSpringer Netherlands
dc.subjectEpitopes
dc.subjectMarkov chains
dc.subjectPerturbation theory
dc.subjectQSAR/QSPR models
dc.subjectVaccine design
dc.subjectepitope
dc.subjectamino acid sequence
dc.subjectArticle
dc.subjectatomic polarizability
dc.subjectcomputer model
dc.subjectcontrolled study
dc.subjectin vivo study
dc.subjectMarkov chain
dc.subjectpartition coefficient
dc.subjectphysical chemistry
dc.subjectpolarity
dc.subjectprediction
dc.subjectquantitative structure property relation
dc.subjectvaccine production
dc.titleQSPR-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
dc.typeArticle


Este ítem pertenece a la siguiente institución