AMS 3.0: prediction of post-translational modifications |
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Authors: | Subhadip Basu Dariusz Plewczynski |
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Affiliation: | (1) Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India;(2) Interdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, 5a Street, 02-106 Warsaw, Poland |
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Abstract: | Background We present here the recent update of AMS algorithm for identification of post-translational modification (PTM) sites in proteins based only on sequence information, using artificial neural network (ANN) method. The query protein sequence is dissected into overlapping short sequence segments. Ten different physicochemical features describe each amino acid; therefore nine residues long segment is represented as a point in a 90 dimensional space. The database of sequence segments with confirmed by experiments post-translational modification sites are used for training a set of ANNs. |
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