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Extraction: Advanced Methods

Extraction: Advanced Methods

Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...

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Updated: Mar 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

JADOPPT: java based AutoDock preparing and processing tool.

Carlos García-Pérez^1,2, Rafael Peláez^3,4,5, Roberto Therón²

¹Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Reynosa, Mexico.

Bioinformatics (Oxford, England)

|November 1, 2016

Summary

This summary is machine-generated.

JADOPPT simplifies visualizing multiple AutoDock results for virtual screening. This tool enables simultaneous comparison and assessment of docked poses, improving drug discovery efficiency.

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Area of Science:

Computational chemistry
Structural biology
Bioinformatics

Background:

AutoDock is widely used for molecular docking and virtual screening.
Visualizing multiple docked poses from virtual screening is challenging.
Efficient analysis of numerous docked poses is crucial for drug discovery.

Purpose of the Study:

To develop JADOPPT, a tool for automated preparation and processing of multiple ligand-protein docked poses from AutoDock.
To enable simultaneous visual assessment and comparison of multiple poses.
To facilitate the representation of key binding features and energies.

Main Methods:

Automated preparation and processing of docked poses.
Clustering methods for pose assessment.
Visualization of reference ligands, binding site residues, and scoring regions.

Main Results:

JADOPPT allows simultaneous visual assessment of multiple docked poses.
The tool integrates clustering for pose comparison.
Key binding information, including energies and site interactions, is represented.

Conclusions:

JADOPPT overcomes limitations in visualizing multiple AutoDock results.
The tool enhances the analysis and comparison of docked poses.
JADOPPT aids in efficient virtual screening and drug discovery workflows.