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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-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 Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as 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...

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Related Experiment Video

Updated: Jun 10, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

A novel sequence-based method of predicting protein DNA-binding residues, using a machine learning approach.

Yudong Cai1, Zhisong He, Xiaohe Shi

  • 1Institute of System Biology, Shanghai University, Shanghai, 200244, People's Republic of China. cai_yud@yahoo.com.cn

Molecules and Cells
|August 14, 2010
PubMed
Summary

Predicting protein-DNA binding sites is crucial for understanding biological processes. This study introduces a machine learning method using amino acid micro-environment properties and conservation scores, achieving 94.89% accuracy in identifying these critical sites.

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Last Updated: Jun 10, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Published on: January 26, 2024

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Protein-DNA interactions are fundamental to gene regulation, DNA repair, and cellular functions.
  • Understanding the specific amino acid motifs involved in DNA recognition is vital for disease research.
  • Experimental identification of these motifs is costly and time-consuming, necessitating computational approaches.

Purpose of the Study:

  • To develop a novel, sequence-based computational method for predicting protein-DNA binding residues.
  • To improve the accuracy and efficiency of identifying protein-DNA binding sites.

Main Methods:

  • Utilized a machine learning approach for prediction.
  • Incorporated amino acid micro-environment properties (AAIndex) and conservation scores.
  • Employed cross-validation for rigorous testing and validation.

Main Results:

  • Achieved a high overall prediction accuracy of 94.89%.
  • Demonstrated the significance of the amino acid micro-environment in DNA binding.
  • Successfully identified protein-DNA binding sites using the developed method.

Conclusions:

  • The developed machine learning method offers an accurate and efficient way to predict protein-DNA binding sites.
  • Amino acid micro-environment characteristics are key determinants of DNA binding specificity.
  • This computational approach can aid researchers in studying diseases linked to protein-DNA interactions.