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Related Concept Videos

Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
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-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...
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...
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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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

A sequence-based approach for predicting protein disordered regions.

Tao Huang1, Zhi-Song He, Wei-Ren Cui

  • 1Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. huangtao@sibs.ac.cn

Protein and Peptide Letters
|May 18, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a rapid, inexpensive computational method for identifying protein disordered regions using sequence data. The approach leverages conservation and secondary structure features, achieving promising prediction accuracy.

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Genomics

Background:

  • Protein disordered regions are crucial for cellular functions like gene regulation and signaling, but are also implicated in diseases.
  • Experimental methods for identifying these regions are costly and time-consuming.
  • There is a need for efficient computational approaches to predict protein disorder.

Purpose of the Study:

  • To develop and validate a sequence-based computational method for predicting protein disordered regions.
  • To identify key features contributing to the prediction of intrinsically disordered proteins.

Main Methods:

  • Utilized the Nearest Neighbor algorithm for prediction.
  • Employed a sliding window approach, encoding amino acid conservation, physicochemical properties, and secondary structure status.
  • Applied feature selection using maximum relevancy minimum redundancy (mRMR) to identify an optimal 51-feature set (39 conservation, 12 secondary structure).

Main Results:

  • Achieved a Mathew's correlation coefficient (MCC) of 0.371 on a benchmark dataset via 5-fold cross-validation.
  • Obtained an MCC of 0.219 on an independent test dataset.
  • Demonstrated the significance of conservation and secondary structure in predicting intrinsically disordered proteins.

Conclusions:

  • The developed sequence-based computational method offers a rapid and cost-effective alternative for identifying protein disordered regions.
  • Conservation and secondary structure are key determinants of intrinsic protein disorder.
  • This approach aids in understanding protein function and disease mechanisms.