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Protein folding: from the levinthal paradox to structure prediction
1Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168 St., New York, NY 10032, USA. bh6@columbia.edu
Journal of Molecular Biology
|November 5, 1999
Summary
Protein folding principles, including backbone importance and hierarchical pathways, were known decades ago. Advances in databases aid protein structure prediction, but integrating physical principles is key for future progress.
Area of Science:
- Biochemistry
- Computational Biology
- Structural Biology
Background:
- Protein folding is crucial for biological function.
- Understanding protein folding principles has evolved over 40 years.
- Early recognition of key factors like polypeptide backbone and hierarchical folding laid groundwork.
Purpose of the Study:
- To provide a historical perspective on protein folding.
- To review principles of protein folding and their relation to structure prediction.
- To discuss challenges and future directions in protein structure prediction.
Main Methods:
- Historical review of protein folding research.
- Analysis of fundamental principles governing protein conformation.
- Examination of protein structure prediction algorithms and their reliance on databases.
Main Results:
- Essential protein folding principles were identified decades ago.
- Detailed characterization of folding pathways and understanding of forces determining protein stability have advanced.
- Protein structure prediction algorithms still face challenges, potentially due to small energy differences between conformations.
Conclusions:
- Progress in protein structure prediction relies on integrating database information with physical chemical principles.
- The PrISM program exemplifies an integrated approach for sequence/structural analysis and fold recognition.
- Future advancements necessitate combining empirical data with theoretical models of protein folding.