Provides a useful method for basic academic study and industrial application of acidic and alkaline enzymes. AcalPred is a free online server that discriminates acidic enzymes. An ANOVA-based feature selection technique was utilized to optimize dipeptide compositions for improving the prediction capability of this model. An overall accuracy of 96 per cent was achieved, demonstrating that AcalPred can be used as a powerful tool for the study of enzymes in the adaptation to acidic or alkaline environment.
Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Physics, School of Sciences, Center for Genomics and Computational Biology, Hebei United University, Tangshan, China
AcalPred funding source(s)
Supported by the National Natural Science Foundation of China (61202256, 61100092) and the Fundamental Research Funds for the Central Universities (ZYGX2012J113).