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Conservation of Protein Domains Over Different Proteins

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...

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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Protein Families

Protein Families

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...

Conservation of Protein Domains

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...

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Updated: Sep 14, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Structural Variability of Pfam Domains Based on Alphafold2 Predictions.

Elly Poretsky¹, Carson M Andorf^2,3, Taner Z Sen^1,4

¹Crop Improvement and Genetics Research Unit, United States Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, California, USA.

|July 23, 2025

Summary

Protein domains exhibit significant structural variability within families, challenging function prediction. This study reveals structural diversity in Pfam domains using AlphaFold2, highlighting needs for improved prediction workflows.

Keywords:

AlphaFold2 Pfam protein functional prediction protein structure prediction protein tertiary structure prediction

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

Published on: July 14, 2015

Area of Science:

Genomics
Structural Biology
Bioinformatics

Background:

Understanding protein functions is crucial for functional genomics and enhancing traits like stress resistance.
Protein domains are key functional units, and sequence-based predictions (e.g., Pfam) are widely used for function prediction.
While sequence variability in Pfam domains is known, their structural variability remains understudied.

Purpose of the Study:

To investigate the structural variability within Pfam protein domain families.
To compare predicted protein domain structures from AlphaFold2 and Pfam to identify structural diversity.
To assess the implications of structural variability for protein function prediction and Pfam family curation.

Main Methods:

Extracted Pfam domain structural portions from AlphaFold2 predicted proteomes.
Analyzed structural variability using FoldSeek and agglomerative clustering.
Examined specific cases to detail observed structural variations within Pfam families.

Main Results:

Many Pfam families showed significant structural variability, with 20-40% of members lacking regular secondary structures.
Identified and characterized structural diversity within Pfam families using computational tools.
Demonstrated inherent variability in protein domain predictions when comparing AlphaFold2 and Pfam data.

Conclusions:

Structural variability within Pfam families is a notable phenomenon that impacts protein function prediction.
Detection of structural variability can aid in the curation and refinement of Pfam families.
There is a need for enhanced protein domain prediction workflows that account for structural diversity.