<![CDATA[BOL: Category: researchlabs:Bioinformatics]]> https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab? https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab Sun, 15 Sep 2013 09:19:12 -0500 <![CDATA[SOWDHAMINI Lab]]> Genome sequencing projects have enormous potential for benefiting human endeavors. However, just as acquiring a language's vocabulary does not enable one to speak it, databases that list the amino acid composition of proteins do not directly tell us much about these proteins' higher-level structure and function. The most productive way to indirectly exploit these databases has been to start with the small number of proteins that are fully-characterised and to assume that other "similar" proteins will have a related structure and function. Proteins with very similar amino acid sequence are "no-brainers", but the real test, which our group largely focuses on, is to detect the "essential" similarity in proteins whose non-critical sections have experienced random rearrangements during evolution. In such cases functionally similar proteins may have less than 25% sequence overlap.

More @ http://www.ncbs.res.in/sowdhamini/groups_sowdhamini.htm

]]>