Predicts protein sub-chloroplastic localization, based on targeting signal detection and membrane protein information. SChloro is based on the recognition of sequence signals that define target specificity (chloroplast and thylakoid targeting signals) as well as on the prediction of the potential type of interaction with chloroplast membranes (single-pass, multi-pass and peripheral interaction). SChloro significantly outperforms the available state-of-the-art methods, both in single and multi-label settings.
Biocomputing Group, CIG, Interdepartmental Center Luigi Galvani for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Bologna, Italy; Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Padova, Italy; Interdepartmental Center Giorgio Prodi for Cancer Research, University of Bologna, Bologna, Italy
SChloro funding source(s)
This work was partially supported by: PRIN 2010-2011 project 20108XYHJS (Italian MIUR); COST BMBS Action TD1101 and Action BM1405 (European Union RTD Framework Program); PON projects PON01_02249 and PAN Lab PONa3_00166 (Italian Miur) FARB UNIBO 2012.