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Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Conservation of Protein Domains

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Updated: Sep 26, 2025

Studying Protein Function and the Role of Altered Protein Expression by Antibody Interference and Three-dimensional Reconstructions

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Published on: April 21, 2016

Capturing surface complementarity in proteins using unsupervised learning and robust curvature measure.

Abhijit Gupta¹, Arnab Mukherjee¹

¹Department of Chemistry, Indian Institute of Science Education and Research, Pune, Maharashtra, India.

|April 16, 2022

Summary

This summary is machine-generated.

This study introduces a novel machine learning method for analyzing protein surface curvature. This approach reveals "shape complementarity" crucial for understanding protein interactions and functions.

Keywords:

algorithm hierarchical clustering protein protein-protein interfaces shape complementarity surface curvature unsupervised machine learning

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Published on: July 14, 2015

Area of Science:

Biophysics
Computational Biology
Structural Biology

Background:

Protein structure dictates biological function.
Protein surface shape and curvature influence interactions with other molecules.
Characterizing protein surface roughness is challenging.

Purpose of the Study:

To develop a robust method for protein surface curvature characterization.
To segment protein surfaces into patches for detailed analysis.
To investigate the role of local curvatures in molecular interactions.

Main Methods:

Utilized unsupervised machine learning for protein surface segmentation.
Developed an algebraic sphere fitting method for accurate curvature measurement.
Analyzed local curvatures at various protein interfaces.

Main Results:

Successfully segmented protein surfaces into measurable patches.
Demonstrated the speed, accuracy, and robustness of the algebraic sphere fitting method.
Identified "shape complementarity" at protein-protein, antigen-antibody, and protein-ligand interfaces.

Conclusions:

The new method accurately measures protein surface curvature.
Shape complementarity is a key feature of biomolecular interaction interfaces.
This approach can advance understanding of protein structure-function relationships and aid in identifying binding partners.