A model for prediction of linear B-cell epitopes which was derived from the combination of amino acid anchoring pair composition (APC) and Support Vector Machine (SVM) methods. Systematic comparisons with the existing prediction models demonstrated that APCpred method significantly improved the prediction accuracy both in fivefold cross-validation of training datasets and in independent blind datasets.
Department of Molecular Biology, Hebei University College of Life Sciences, Baoding, China; Department of Laboratory Medicine General Hospital of Jinan Military Region, Jinan, Shandong, China; Center of Computational Biology, Beijing Institute of Basic Medical Sciences, Beijing, China; Centre Laboratory of Affiliated Hospital of Hebei University, Baoding, Hebei, China; Department of Basic Medical Sciences, Western University of Health Sciences, Pomona, CA, USA
APCpred funding source(s)
This work was supported by National Science Foundation of China (NSFC) grants #31471244, #31271404, #31100960 and # 81472744.