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Pakistan Journal of Biological Sciences

Year: 2005 | Volume: 8 | Issue: 3 | Page No.: 487-492
DOI: 10.3923/pjbs.2005.487.492
Protein Folding: From Hypothesis Driven to Data Mining
Basir Ahmad and Rizwan Hasan Khan

Abstract: There has been considerable progress made over the past year in both theoretical and experimental studies of protein folding. In this review different aspects of protein folding phenomena is outlined and recent approaches which provide recent understanding of protein folding problem are described. The different types of protein substructures and intermediate states that have possible implication in protein folding have been discussed. The various theoretical models and experimental developments that are being evolved to obtain a more detailed understanding of this complex process are tabulated and some are described. In vivo protein folding and human diseases has been covered in a separate section to highlight the possible role of protein folding in various inherited and non-inherited diseases. The in silico approach of protein folding has been covered in great detail as because biomolecular simulation to protein folding is expected to shed significant light into this process. Blue gene is expected to enable a tremendous increase in the scale of simulation studies that can be carried out as compared with existing supercomputers. The data mining and analyzing from in vivo, in vitro and in silico approaches of folding may provide certain common trend that will lead to a unified mechanism of protein folding.

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How to cite this article
Basir Ahmad and Rizwan Hasan Khan, 2005. Protein Folding: From Hypothesis Driven to Data Mining. Pakistan Journal of Biological Sciences, 8: 487-492.

Keywords: Protein flooding problem, autonomous folding units, energy landscape, molten globlue and blue gene

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