Assessing the Accuracy of Computational Tools for the Prediction of Amyloid Fibril forming Motifs: An Overview

Nair, Smitha Sunil Kumaran and Subbareddy , NV and Hareesha , K S (2011) Assessing the Accuracy of Computational Tools for the Prediction of Amyloid Fibril forming Motifs: An Overview. IJCA Special Issue on “Computational Science - New Dimensions & Perspectives” NCCSE, 2011 , 4 (5). pp. 155-157.

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Abstract

Identifying amyloidogenic regions in protein sequences is useful in understanding the underlying cause of several human diseases and finding potential therapeutic targets. Given the laborious nature of experimental validation of segments most prone to form fibrils, it was essential that computational approaches be developed that could produce reliable, affordable and testable in silico predictions. In this paper, we present and assess some of the recently developed computational tools for predicting amyloid fibril forming motifs that remain as one of the key means used to decipher the role of such regions in disease diagnosis, prognosis and drug discovery.

Item Type: Article
Additional Information: IJCA journal
Uncontrolled Keywords: Amyloid fibrils, Computational tools, Prediction accuracy
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 30 Jun 2011 04:47
Last Modified: 30 Jun 2011 04:47
URI: http://eprints.manipal.edu/id/eprint/431

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