MAISTAS: a tool for automatic structural evaluation of alternative splicing products.

Matteo Floris, Domenico Raimondo, Guido Leoni, Massimiliano Orsini, Paolo Marcatili, Anna Tramontano

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

MOTIVATION: Analysis of the human genome revealed that the amount of transcribed sequence is an order of magnitude greater than the number of predicted and well-characterized genes. A sizeable fraction of these transcripts is related to alternatively spliced forms of known protein coding genes. Inspection of the alternatively spliced transcripts identified in the pilot phase of the ENCODE project has clearly shown that often their structure might substantially differ from that of other isoforms of the same gene, and therefore that they might perform unrelated functions, or that they might even not correspond to a functional protein. Identifying these cases is obviously relevant for the functional assignment of gene products and for the interpretation of the effect of variations in the corresponding proteins. RESULTS: Here we describe a publicly available tool that, given a gene or a protein, retrieves and analyses all its annotated isoforms, provides users with three-dimensional models of the isoform(s) of his/her interest whenever possible and automatically assesses whether homology derived structural models correspond to plausible structures. This information is clearly relevant. When the homology model of some isoforms of a gene does not seem structurally plausible, the implications are that either they assume a structure unrelated to that of the other isoforms of the same gene with presumably significant functional differences, or do not correspond to functional products. We provide indications that the second hypothesis is likely to be true for a substantial fraction of the cases. AVAILABILITY: http://maistas.bioinformatica.crs4.it/.
Original languageEnglish (US)
Pages (from-to)1625-1629
Number of pages5
JournalBioinformatics
Volume27
Issue number12
DOIs
StatePublished - Apr 15 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-I1-012-43
Acknowledgements: King Abdullah University of Science and Technology (KAUST; Award No. KUK-I1-012-43); Fondazione Roma and the Italian Ministry of Health (contract no.onc_ord 25/07, FIRB ITALBIONET and PROTEOMICA).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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