MOTIVATION: MIEC-SVM is a structure-based method for predicting protein recognition specificity. Here, we present an automated MIEC-SVM pipeline providing an integrated and user-friendly workflow for construction and application of the MIEC-SVM models. This pipeline can handle standard amino acids and those with post-translational modifications (PTMs) or small molecules. Moreover, multi-threading and support to Sun Grid Engine (SGE) are implemented to significantly boost the computational efficiency. AVAILABILITY AND IMPLEMENTATION: The program is available at http://wanglab.ucsd.edu/MIEC-SVM CONTACT: : wei-wang@ucsd.edu SUPPLEMENTARY INFORMATION: Supplementary data available at Bioinformatics online.
MOTIVATION: MIEC-SVM is a structure-based method for predicting protein recognition specificity. Here, we present an automated MIEC-SVM pipeline providing an integrated and user-friendly workflow for construction and application of the MIEC-SVM models. This pipeline can handle standard amino acids and those with post-translational modifications (PTMs) or small molecules. Moreover, multi-threading and support to Sun Grid Engine (SGE) are implemented to significantly boost the computational efficiency. AVAILABILITY AND IMPLEMENTATION: The program is available at http://wanglab.ucsd.edu/MIEC-SVM CONTACT: : wei-wang@ucsd.edu SUPPLEMENTARY INFORMATION: Supplementary data available at Bioinformatics online.
Authors: Tingjun Hou; Zheng Xu; Wei Zhang; William A McLaughlin; David A Case; Yang Xu; Wei Wang Journal: Mol Cell Proteomics Date: 2008-11-20 Impact factor: 5.911
Authors: Ryan Hard; Nan Li; Wei He; Brian Ross; Gary C H Mo; Qin Peng; Richard S L Stein; Elizabeth Komives; Yingxiao Wang; Jin Zhang; Wei Wang Journal: Sci Adv Date: 2018-11-07 Impact factor: 14.136