AtSubP (for Arabidopsis subcellular localization predictor) is an integrative support vector machine-based localization predictor that is based on the combinatorial presence of diverse protein features, such as its amino acid composition, sequence-order effects, terminal information, Position-Specific Scoring Matrix, and similarity search-based Position-Specific Iterated-Basic Local Alignment Search Tool information.
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Plant Physiol. 2010 Sep;154(1):36-54. doi: 10.1104/pp.110.156851. Epub 2010 Jul 20.
Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.
Kaundal R1, Saini R, Zhao PX.