Selected article for: "ACC transformation cross covariance and cross covariance"
Author: Miyssa I. Abdelmageed; Abdelrahman H. Abdelmoneim; Mujahed I. Mustafa; Nafisa M. Elfadol; Naseem S. Murshed; Shaza W. Shantier; Abdelrafie M. Makhawi
Title: Design of multi epitope-based peptide vaccine against E protein of human COVID-19: An immunoinformatics approach
  • Document date: 2020_2_11
    • ID: 6ojmmmuj_12
    Snippet: It is the first server for alignment-independent prediction of protective antigens. It allows antigen classification solely based on the physicochemical properties of proteins without recourse to sequence alignment. It predicts the probability of the antigenicity one or multiple of protein based on auto cross covariance (ACC) transformation of protein sequence. Structural CoV-2019 protein (N,S,E and M) was analyzed by VaxiJen with threshold of 0......
    Document: It is the first server for alignment-independent prediction of protective antigens. It allows antigen classification solely based on the physicochemical properties of proteins without recourse to sequence alignment. It predicts the probability of the antigenicity one or multiple of protein based on auto cross covariance (ACC) transformation of protein sequence. Structural CoV-2019 protein (N,S,E and M) was analyzed by VaxiJen with threshold of 0.4 [36] . (http://www.ddgpharmfac.net/vaxijen/VaxiJen/VaxiJen.html)

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