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Protein folding mechanisms and the multidimensional folding funnel
N D Socci1, J N Onuchic, P G Wolynes
1Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA.
Proteins
|August 26, 1998
Summary
Protein folding mechanisms are classified using a multidimensional funnel model. This approach reveals distinct folding scenarios, including fast folding with traps, offering a more comprehensive understanding than single-order parameter models.
Area of Science:
- Biophysics
- Computational Biology
- Protein Dynamics
Background:
- Energy landscape theory explains protein folding through funnel landscapes.
- One-dimensional models classify folding kinetics based on a single order parameter.
- Limitations exist in describing complex folding mechanisms with single parameters.
Purpose of the Study:
- To develop a multidimensional funnel model for protein folding.
- To investigate folding mechanisms using multiple order parameters.
- To connect minimalist models with experimental protein folding observations.
Main Methods:
- Utilized a simple multidimensional funnel model.
- Employed two order parameters: degree of collapse and topological order.
- Analyzed lattice models with varying potentials and sequences.
Main Results:
- The multidimensional analysis generally aligns with one-dimensional classifications.
- A novel scenario of fast folding with traps was identified.
- The nature of traps is influenced by the glass transition and thermodynamic barrier positions.
Conclusions:
- Multidimensional analysis provides a more nuanced view of protein folding mechanisms.
- Topological order and collapse are crucial parameters for understanding folding.
- The model offers insights into the role of traps in protein folding pathways.