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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.
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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.
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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...
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Proteins and Their Interacting Partners: An Introduction to Protein-Ligand Binding Site Prediction Methods.

Daniel Barry Roche1,2, Danielle Allison Brackenridge3, Liam James McGuffin4

  • 1Institut de Biologie Computationnelle, LIRMM, CNRS, Université de Montpellier, Montpellier 34095, France. daniel.roche@lirmm.fr.

International Journal of Molecular Sciences
|December 24, 2015
PubMed
Summary

In silico methods offer a practical solution for predicting protein functions and binding sites, accelerating research in health, food, and energy. These computational approaches are crucial for understanding protein roles and tackling global challenges.

Keywords:
binding-site residue predictionbiochemical functional elucidationbiological and biochemical role of enzymesenzyme commission numbersgene Ontologyprotein function predictionprotein–ligand binding site predictionsequence-based function predictionstructure-based function prediction

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Bioinformatics

Background:

  • Traditional in vitro/in vivo methods for protein function and interaction analysis are time-consuming and often insufficient for newly sequenced proteins.
  • A significant number of proteins remain uncharacterized due to the limitations of experimental approaches.
  • Understanding protein roles is critical for advancements in health, food security, and energy.

Purpose of the Study:

  • To review the utility of in silico methods for predicting protein-ligand binding sites and biochemical functions.
  • To explore various computational approaches for protein characterization.
  • To discuss the impact of benchmark projects like CASP and CAMEO on the field.

Main Methods:

  • Review of in silico methodologies for 3D modeling of protein-ligand binding sites.
  • Discussion of computational techniques for predicting protein biochemical functions.
  • Analysis of the influence of Critical Assessment of Techniques for Protein Structure Prediction (CASP) and Continuous Automated Model EvaluatiOn (CAMEO).

Main Results:

  • In silico methods provide a practical and efficient alternative to experimental techniques for protein characterization.
  • Computational prediction of binding sites and functions aids in uncovering novel protein roles.
  • Advancements in prediction methods are driven by collaborative projects and continuous evaluation.

Conclusions:

  • In silico approaches are indispensable tools for modern biological research, enabling efficient protein function and binding site prediction.
  • These computational strategies are vital for addressing complex challenges in the 21st century, including those related to health, food, and energy.
  • The ongoing development and application of in silico methods will continue to accelerate biological discovery.