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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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

Structural Protein Function

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Conservation of Protein Domains Over Different Proteins

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Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

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Recent advances in functional region prediction by using structural and evolutionary information - Remaining problems

Wataru Nemoto¹, Akira Saito¹, Hayato Oikawa¹

¹Division of Life Science and Engineering, School of Science and Engineering, Tokyo Denki University (TDU), Ishizaka, Hatoyama-cho, Hiki-gun, Saitama, 350-0394, Japan.

Computational and Structural Biotechnology Journal

|April 2, 2014

Summary

Predicting protein function is crucial. This review explores evolutionary trace (ET) methods and their advancements for identifying functionally important protein regions using structural and evolutionary data.

Keywords:

bioinformatics protein design sequence structure

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Identification of Functional Protein Regions Through Chimeric Protein Construction

Identification of Functional Protein Regions Through Chimeric Protein Construction

Published on: January 8, 2019

Area of Science:

Structural biology
Bioinformatics
Computational biology

Background:

Structural genomics yields numerous protein structures with unknown functions.
Identifying functionally important residues is key to understanding protein roles.
Computational methods are vital for predicting protein function from structure.

Purpose of the Study:

To review methods for predicting functionally important protein regions.
To highlight advancements in structure- and evolution-based approaches.
To discuss remaining challenges and future directions in functional site prediction.

Main Methods:

Utilizing structural and evolutionary information for residue ranking.
Employing methods like the evolutionary trace (ET) to identify important sites.
Analyzing spatial clusters of highly ranked residues.

Main Results:

Numerous ET-like methods have been developed and are in practical use.
Recent improvements address limitations of earlier structure- and evolution-based methods.
The review synthesizes current developments in functional region prediction.

Conclusions:

Evolution- and structure-based methods are powerful tools for functional site prediction.
Further extensions of these methods are anticipated.
Continued research is needed to refine and expand predictive capabilities.