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Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 4  

Biomolecular mechanism discovery driven by computational biology: Functions of uncharacterized genes


Director - Bioinformatics Institute (BII) Agency for Science, Technology and Research (A*STAR) 30 Biopolis Street #07-01, Matrix Building, 138671, Singapore

Date of Web Publication26-May-2012

Correspondence Address:
Frank Eisenhaber
Director - Bioinformatics Institute (BII) Agency for Science, Technology and Research (A*STAR) 30 Biopolis Street #07-01, Matrix Building, 138671
Singapore
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Source of Support: None, Conflict of Interest: None


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How to cite this article:
Eisenhaber F. Biomolecular mechanism discovery driven by computational biology: Functions of uncharacterized genes. J Nat Sc Biol Med 2011;2, Suppl S1:4

How to cite this URL:
Eisenhaber F. Biomolecular mechanism discovery driven by computational biology: Functions of uncharacterized genes. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Aug 13];2, Suppl S1:4. Available from: http://www.jnsbm.org/text.asp?2011/2/3/4/95670

Although life sciences are not truly an area of theoretical research, there are important niches where non-experimental efforts can make a difference. The contribution of sequence analysis, structure modeling and expression profile studies for the discovery of biomolecular mechanisms is indisputable. Within the Bimolecular Function Discovery Division of BII, it will be demonstrated that the integration of sequence-based function prediction, the verification of hypotheses in the biochemical lab and software development for efficient sequence-analytic orkflows (the ANNOTATOR project) opens new horizons for discovery biomolecular mechanism discovery. Several examples such as the case of regulation of nuclear shuttling of a transcription factor with lipid modifications or the impact of patient-specific mutations of influenza viruses will be reviewed.




 

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