Towards more accurate prediction of protein folding rates: a review of the existing web-based bioinformatics approaches

Catherine Ching Han Chang, Beng Ti Tey, Jiangning Song, Nagasundara Ramanan Ramakrishnan

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)

Abstract

The understanding of protein folding mechanisms is often considered to be an important goal that will enable structural biologists to discover the mysterious relationship between the sequence, structure and function of proteins. The ability to predict protein folding rates without the need for actual experimental work will assist the research work of structural biologists in many ways. Many bioinformatics tools have emerged in the past decade, and each has showcased different features. In this article, we review and compare a total of eight web-based prediction tools that are currently available and that predominantly predict the protein folding rate. The prediction performance, usability and utility, together with prediction tool development and validation methodologies for these tools, are critically reviewed. This paper is presented in a comprehensible manner to assist readers in the process of selecting the most appropriate bioinformatics tools to meet their needs.
Original languageEnglish
Pages (from-to)314 - 324
Number of pages11
JournalBriefings in Bioinformatics
Volume16
Issue number2
DOIs
Publication statusPublished - 2015

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