Abstract
We have designed a protein surface characterizing parameter, Surface Invariant Coordinates (SIC), which is an invariant measure with respect to any orientation of the concerned protein. In our work, the possibility of SIC to be an identifier of protein family as well as its active site has been explored. The SIC can be used as a novel feature to classify proteins using ANN and Machine learning algorithms.
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References
Pettit, F.K., Bowie, J.U.: Protein surface roughness and small molecular binding site. J. Mol. Biol. 285, 1377–1382 (1999)
Geometry krishna’s series: KRISHNA prakashan Media (P) ltd. Meerut
Higgins, D., Thompson, J., Gibson, T., Thompson, J.D., Higgins, D.G., Gibson, T.J.: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22, 4673–4680 (1994)
ClustalW: WWW Service at the European Bioinformatics Institute, Rodrigo Lopez, Services Program. http://www.ebi.ac.uk/clustalw
Crooks, G.E., Wolfe, J., Brenner, S.E.: Measurements of protein sequence-structure correlations. Proteins. 57(4), 804–810 (2004)
Skolnick, J., Kolinski, A., Brooks 3rd, C.L., Godzik, A., Rey, A.: A method for predicting protein structure from sequence. Curr. Biol. 3(7), 414–423 (1993)
Connolly, M.L.: Measurement of protein surface shape by solid angles. J. Mol. Graph. 4, 3–6 (1986)
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Satpute, B.S., Yadav, R., Singh, S. (2018). A Novel Feature for Recognition of Protein Family Using ANN and Machine Learning. In: Deshpande, A., et al. Smart Trends in Information Technology and Computer Communications. SmartCom 2017. Communications in Computer and Information Science, vol 876. Springer, Singapore. https://doi.org/10.1007/978-981-13-1423-0_36
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DOI: https://doi.org/10.1007/978-981-13-1423-0_36
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