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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...
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...
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...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...
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...

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Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding

Jose C A Santos1, Houssam Nassif, David Page

  • 1Computational Bioinformatics Laboratory, Department of Computer Science, Imperial College London, London, SW7 2BZ, UK. jcs06@doc.ic.ac.uk

BMC Bioinformatics
|July 13, 2012
PubMed
Summary
This summary is machine-generated.

A new Inductive Logic Programming (ILP) system, ProGolem, effectively learns hexose-protein interaction features. This machine learning approach offers superior predictive accuracy and generates comprehensible rules for protein structure analysis.

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Area of Science:

  • Computational biology
  • Biochemistry
  • Machine learning

Background:

  • Automated methods are needed to understand ligand-protein interactions.
  • Inductive Logic Programming (ILP) offers rule generation and prediction.
  • Developing complex ILP systems for protein structures is challenging.

Purpose of the Study:

  • To evaluate the ProGolem ILP system for learning hexose-protein interaction features.
  • To demonstrate the system's ability to derive comprehensible rules.

Main Methods:

  • Utilized the ProGolem Inductive Logic Programming system.
  • Applied the system to learn features of hexose-protein interactions.
  • Performed 10-fold cross-validation for predictive accuracy assessment.

Main Results:

  • ProGolem identified interactions mediated by aromatic and planar-polar residues, including aromatic sandwiches.
  • Discovered a novel dependency for cysteine (cys) and leucine (leu) residues.
  • Derived rules for interactions involving aromatic and hydrogen-bonding residues, confirming some literature findings.

Conclusions:

  • ProGolem successfully derives structural features of protein/ligand interactions.
  • The model's predictive accuracy surpasses previous ILP methods and matches state-of-the-art statistical learners.
  • This ILP approach provides valuable insights into protein-ligand binding.