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Distinguishing between sequential and nonsequentially folded proteins: implications for folding and misfolding
C J Tsai1, J V Maizel, R Nussinov
1Laboratory of Experimental and Computational Biology, NCI-FCRDC, Frederick, Maryland 21702, USA.
Protein Science : a Publication of the Protein Society
|August 19, 1999
Summary
We developed an algorithm to differentiate sequential from non-sequential protein folding. Sequential folding in eukaryotic cells offers advantages, reducing misfolding risks and potentially increasing folding speed.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Recent experiments suggest most eukaryotic proteins fold sequentially in vivo.
- Sequential folding may reduce misfolding probability, especially without chaperones.
- Understanding folding mechanisms is crucial for protein function and disease.
Purpose of the Study:
- To develop an algorithm distinguishing sequential from non-sequential protein folding patterns.
- To analyze protein folding complexity based on three-dimensional (3D) interactions.
- To provide insights into misfolding likelihood and folding rates.
Main Methods:
- Analyzing 3D interactions of contiguous polypeptide chain segments.
- Computationally splicing protein structures into "building blocks".
- Parsing interactions between successive building blocks from amino to carboxy terminus.
Main Results:
- The algorithm successfully differentiates between sequentially and non-sequentially folded protein chains.
- Folding complexity correlates with the likelihood of misfolding.
- Sequential folding is associated with smoother free energy landscapes and faster folding rates.
Conclusions:
- The developed algorithm offers a computational approach to assess protein folding mechanisms.
- Sequential folding appears advantageous for cellular efficiency and accuracy.
- This method can predict folding behavior and potential errors in protein structures.