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Ligand Binding Sites

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 Linkage

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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...

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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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Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
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Updated: Jun 9, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

OpenDock: a pytorch-based open-source framework for protein-ligand docking and modelling.

Qiuyue Hu^1,2, Zechen Wang³, Jintao Meng¹

¹Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China.

Bioinformatics (Oxford, England)

|October 21, 2024

Summary

This summary is machine-generated.

OpenDock is a new Python-based molecular docking framework that enhances flexibility and user-friendliness for drug design and enzyme engineering. It supports diverse scoring functions and sampling strategies, improving computational modeling.

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

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Last Updated: Jun 9, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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Published on: February 23, 2024

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Area of Science:

Computational chemistry
Bioinformatics
Drug discovery

Background:

Molecular docking is crucial for drug design and enzyme engineering.
Existing tools lack flexibility and user-friendliness, hindering development and validation.
Implementing advanced sampling and scoring functions is challenging in current frameworks.

Purpose of the Study:

To develop a flexible, user-friendly, open-source molecular docking framework.
To facilitate the integration and validation of diverse scoring functions.
To enable advanced sampling strategies for molecular modeling.

Main Methods:

Developed OpenDock using Python and PyTorch.
Integrated support for multiple scoring functions for docking and post-processing.
Implemented simulated annealing and Monte Carlo optimization for sampling.
Enabled extension for genetic algorithms and particle swarm optimization.
Incorporated distance constraints for covalent and restricted docking.

Main Results:

OpenDock offers a flexible and extensible platform for molecular docking.
Supports integration of various scoring functions for enhanced accuracy.
Provides multiple sampling methods, including simulated annealing and Monte Carlo.
Facilitates covalent docking and distance-guided pose sampling.
Demonstrates significant flexibility for protein-ligand modeling tasks.

Conclusions:

OpenDock addresses limitations of existing molecular docking tools.
Provides a versatile framework for computer-aided drug design and enzyme engineering.
Enhances flexibility and ease of development for computational modeling tasks.