Predicting the protein folding nucleus from sequences [correction of a sequence].

Area of Science:

• Biochemistry and Molecular Biology
• Structural Biology
• Computational Biology

Background:

• Protein structure prediction from amino acid sequence is a fundamental challenge.
• Small proteins often fold via kinetic steps with populated intermediate states.
• Understanding these intermediates is key to elucidating protein folding mechanisms.

Purpose of the Study:

• To investigate the nature of interactions within protein folding intermediates.
• To explore the relationship between folding nucleus residues and conserved positions.
• To assess the potential for predicting protein folding nuclei from sequence data.

Main Methods:

• Analysis of kinetic steps and intermediate states in small protein folding.
• Identification of specific amino acid interactions within folding nuclei.
• Comparison of folding nucleus residues with conserved hydrophobic positions across protein families.

Main Results:

• Significantly populated intermediate states exist for some small proteins.
• Specific interactions are established early in the folding process.
• A striking correspondence exists between folding nucleus amino acids and conserved hydrophobic positions.

Conclusions:

• The folding nucleus, identified through specific interactions, shows a strong correlation with conserved hydrophobic positions.
• This finding suggests a method for predicting the folding nucleus using divergent protein sequences.
• Predicting the folding nucleus could advance the prediction of three-dimensional protein structures from sequence data.