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Conserved Binding Sites

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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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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism. Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members. If these new proteins contain similar amino acids in key...

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Related Experiment Video

Updated: Dec 22, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Self-analysis of repeat proteins reveals evolutionarily conserved patterns.

Matthew Merski¹, Krzysztof Młynarczyk², Jan Ludwiczak^3,4

¹Structural Biology Group, Biological and Chemical Research Centre, Department of Chemistry, University of Warsaw, Warsaw, Poland. merski@gmail.com.

BMC Bioinformatics

|May 9, 2020

Summary

This summary is machine-generated.

Dot plot analysis effectively identifies conserved protein repeat patterns, aiding in distinguishing evolutionary relationships. This method quantifies repeat protein conservation and function across large datasets.

Keywords:

Protein evolution Protein repeat Repeat identification Structural bioinformatics

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Last Updated: Dec 22, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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Published on: July 14, 2015

An Integrated Approach for Microprotein Identification and Sequence Analysis

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Published on: July 12, 2022

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Area of Science:

Bioinformatics
Computational Biology
Structural Biology

Background:

Protein repeats pose challenges for sequence analysis due to inherent repetitiveness, complicating evolutionary relationship assessments.
Traditional dot plot analysis reveals conserved patterns in related repeat proteins, quantifiable using a Jaccard metric.

Purpose of the Study:

To develop and validate a novel method for analyzing protein repeat sequences.
To overcome limitations in identifying evolutionary relationships of repeat proteins.

Main Methods:

Utilized traditional "dot plot" protein sequence self-similarity analysis.
Quantified pattern conservation using a Jaccard metric.
Tested the method on a standard set of 79 repeat proteins from RepeatsDB and compared with known proteins from the PDB.

Main Results:

Dot plot comparison resolved issues related to sequence similarity in repeat protein analysis.
High Jaccard similarity scores indicated conserved relationships between closely related repeat proteins.
Identified 16.9% of proteins in UniRef90 as putative repeat proteins, with 82.9% of clusters showing functional homogeneity.

Conclusions:

Dot plot analysis effectively addresses challenges posed by sequence degeneracy in repeat proteins.
This approach enables efficient, large-scale analysis of repeat proteins, facilitating functional classification and evolutionary studies.