A machine learning system for identifying transmembrane domains from amino acid sequences |
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Authors: | Arul Siromoney Rani Siromoney |
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Affiliation: | (1) School of Computer Science and Engineering, Anna University, 600 025 Madras, India;(2) Madras Christian College, 600 059 Tambaram, Madras, India |
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Abstract: | We present our machine learning system, that uses inductive logic programming techniques to learn how to identify transmembrane domains from amino acid sequences. Our system facilitates the use of operators such as ‘contains’, that act on entire sequences, rather than on individual elements of a sequence. The prediction accuracy of our new system is around 93%, and this compares favourably with earlier results. This work was carried out with the support of a research grant from ISIS, Fujitsu Laboratories. |
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Keywords: | Machine learning inductive logic programming transmembrane domains amino-acid sequences molecular biology |
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