A web-server for identifying whether a peptide belongs to anticancer or non-anticancer purely based on its sequence information alone. iACP uses the wrapper-type feature selection technique to seek optimized g-gap dipeptide. The predicted results obtained by iACP via the jackknife test, 5-fold cross-validation test, and independent dataset test have indicated that the new predictor is indeed quite promising, or at the very least, able to play a complimentary role to the existing state-of-the art methods in this area.
Department of Physics, School of Sciences, Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, China; Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; School of Public Health, North China University of Science and Technology, Tangshan, China; Gordon Life Science Institute, Belmont, MA, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
iACP funding source(s)
This work was supported by the National Nature Scientific Foundation of China (Nos. 61100092, 61202256, 61301260), the Nature Scientific Foundation of Hebei Province (No.C2013209105), Science and Technology Department of Hebei Province (No. 132777133), Program for the Top Young Innovative Talents of Higher Learning Institutions of Hebei Province (No. BJ2014028) and the Fundamental Research Funds for the Central Universities (ZYGX2012J113, ZYGX2013J102).