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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Analytical approximation to the accessible surface area of proteins
1Service de Biochimie Cellulaire, Institut Pasteur 28, rue du Docteur Roux, 75724 Paris 15, France.
Summary
We developed a fast, statistical method to calculate protein accessible surface area. This approach estimates solvent accessible and buried areas, aiding protein structure and domain analysis.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Biophysics
Background:
- Calculating solvent accessible surface area (SASA) is crucial for understanding protein structure-function relationships.
- Traditional geometrical methods for SASA calculation can be computationally intensive.
Purpose of the Study:
- To introduce a novel analytical method for estimating protein accessible surface area.
- To provide a computationally efficient alternative to geometrical constructions for SASA calculation.
Main Methods:
- A statistical approach was employed, deriving an expression for accessible surface area based on inter-atomic or inter-residue distances.
- The method assumes random spatial distribution of atoms/residues without penetration.
Main Results:
- The statistical function accurately estimates both solvent accessible surface area and the area buried in subunit contacts for various proteins.
- The method demonstrates significantly faster evaluation times compared to geometrical approaches.
- The derived function is differentiable, enabling new applications in protein studies.
Conclusions:
- The proposed analytical method offers an efficient and accurate way to determine protein accessible surface area.
- This approach facilitates new applications in protein analysis, such as automated domain detection based on surface area properties.
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