Mining useful information from a large amount of biological data is becoming important, but most data mining research in bioinformatics is limited to molecular sequence data. We have developed a set of algorithms for analyzing hydrogen bond and van der Waals interactions between protein and RNA. Analysis of the most representative set of protein-RNA complexes revealed several interesting observations: (1) in both hydrogen bond and van der Waals interactions, arginine has the highest interaction propensity, whereas cytosine has the lowest interaction propensity; (2) side chain contacts are more frequent than main chain contacts in amino acids, whereas backbone contacts are more frequent than base contacts in nucleotides; (3) amino acids, in which side chain contacts are dominant, reveal more diverse interaction propensities than nucleotides; and (4) valine rarely binds to any nucleotide. The interaction patterns found in this study should prove useful for determining binding sites in protein-RNA complexes. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Han, K., & Nepal, C. (2007). Mining molecular structure data for the patterns of interactions between protein and RNA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4487 LNCS, pp. 94–101). Springer Verlag. https://doi.org/10.1007/978-3-540-72584-8_13
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