In-silico prediction of peptide status – amyloidogenic or non-amyloidogenic

Nair, Smitha Sunil Kumaran and Subbareddy , NV and Hareesha , K S (2011) In-silico prediction of peptide status – amyloidogenic or non-amyloidogenic. In: Indo-US Workshop on Biocomputing 2011, 2011.

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Abstract

The data at the molecular level in proteomics provide novel information for disease diagnosis, treatment and drug discovery. Major advances in the field of molecular biology, coupled with progresses in proteomic technologies, have led to an explosive growth in the biological information generated by the scientific community. This deluge of such information has, in turn, led to a requirement for sophisticated computational tools for their analysis. Computational approach is a complement to experimental analysis that may find utility in many medically relevant applications, such as understanding the underlying causes of several human pathologies and finding potential therapeutic targets. Amyloid fibrillar aggregates of proteins are widely observed in neurodegenerative diseases resulting in brain tissue atrophy. Therefore, recognizing those specific regions that determine the aggregation propensity of a protein is of fundamental interest. Owing to the limitations of molecular techniques for the identification of fibril forming motifs, it became apparent that computational techniques enable their discovery in a more efficient manner.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 10 Jan 2012 10:16
Last Modified: 25 Mar 2013 04:35
URI: http://eprints.manipal.edu/id/eprint/2386

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