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Related Concept Videos

Conserved Binding Sites01:49

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 analyses the...
Protein Families02:47

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 locations, protein...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Conservation of Protein Domains Over Different Proteins02:26

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 form...
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...

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Related Experiment Video

Updated: May 25, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

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

Published on: July 14, 2015

Predicting functional residues of protein sequence alignments as a feature selection task.

Chris Haddow1, Justin Perry, Marcus Durrant

  • 1School of Computing, Engineering, and Information Sciences, Northumbria University, Newcastle NE2 1XE, UK. chris.haddow@northumbria.ac.uk

International Journal of Data Mining and Bioinformatics
|February 3, 2012
PubMed
Summary

Identifying key protein residues for function is crucial in bioinformatics. This study frames it as a feature selection problem, finding standard algorithms effective and suggesting combination analysis for better performance.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • Determining critical residues for protein function from sequence alignments is a significant challenge.
  • Understanding residue importance aids in predicting protein function and designing novel proteins.

Purpose of the Study:

  • To frame the identification of functionally important protein residues as a standard Feature Selection (FS) problem.
  • To compare the performance of standard FS techniques against specialized algorithms for this task.
  • To explore the potential of analyzing residue combinations for improved performance.

Main Methods:

  • Applied standard Feature Selection (FS) algorithms to protein sequence alignment datasets.
  • Compared FS algorithms with specialized bioinformatics methods.
  • Evaluated performance using datasets with experimental evidence.
  • Investigated the utility of analyzing combined residue positions.

Main Results:

  • Standard FS techniques demonstrated comparable performance to specialized algorithms.
  • The effectiveness of FS methods was validated on experimentally supported datasets.
  • Analyzing combinations of residue positions shows promise for enhancing performance.

Conclusions:

  • Feature Selection (FS) provides a viable framework for identifying functionally important protein residues.
  • Standard FS algorithms are effective and can be a cost-efficient alternative to specialized tools.
  • Future work should focus on leveraging combinatorial analysis of residue positions for improved accuracy in functional site prediction.