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Related Concept Videos

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...

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Related Experiment Video

Updated: May 25, 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

COPICAT: a software system for predicting interactions between proteins and chemical compounds.

Yasubumi Sakakibara1, Tsuyoshi Hachiya, Miho Uchida

  • 1Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Yokohama 223-8522, Japan. yasu@bio.keio.ac.jp

Bioinformatics (Oxford, England)
|January 20, 2012
PubMed
Summary

COPICAT is a web service that predicts protein-chemical interactions using Support Vector Machine classifiers. This tool accelerates lead compound discovery by rapidly screening millions of compounds.

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Area of Science:

  • Computational chemistry
  • Bioinformatics
  • Drug discovery

Background:

  • Millions of chemical compounds exist in public databases.
  • Efficient computational methods are crucial for virtual screening of lead compounds.
  • Protein-chemical interactions are key to understanding biological processes and drug development.

Purpose of the Study:

  • To implement a novel protein-chemical interaction prediction method as a user-friendly web service.
  • To provide a tool for rapid and comprehensive virtual screening of chemical compounds.
  • To enhance the discovery of potential drug lead compounds.

Main Methods:

  • Utilized two-layer Support Vector Machine (SVM) classifiers.
  • Employed readily available biochemical data: amino acid sequences and chemical structure formulas.
  • Developed the COPICAT web service with an intuitive front-end interface.
  • Enabled users to submit prediction jobs or train custom models.

Main Results:

  • The COPICAT web service offers fast and accurate predictions of protein-chemical interactions.
  • Demonstrated enhanced lead compound discovery against large chemical databases.
  • Expanded the searchable space for drug discovery by over 1000 times compared to traditional methods.

Conclusions:

  • COPICAT significantly accelerates the identification of potential drug candidates.
  • The web service democratizes access to advanced computational screening tools.
  • COPICAT extends the capabilities of virtual screening in drug discovery research.