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Ligand Binding Sites

Ligand Binding Sites

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...

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z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...

Ligand Binding and Linkage

Ligand Binding and Linkage

Ligand Binding and Linkage

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...

Molecular Models

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.

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Related Experiment Video

Updated: Apr 16, 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

Scoring functions for AutoDock.

Anthony D Hill¹, Peter J Reilly

¹St. Jude Medical, One St. Jude Medical Dr., Saint Paul, MN, 55117-9983, USA, thill@sjm.com.

Methods in Molecular Biology (Clifton, N.J.)

|March 11, 2015

Summary

This summary is machine-generated.

Developing custom scoring functions for AutoDock is crucial for accurate protein-ligand binding energy prediction. This involves careful consideration of data and methods for specific force fields and molecular types.

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Area of Science:

Computational chemistry
Molecular modeling
Drug discovery

Background:

Automated docking is vital for screening protein-ligand interactions.
Scoring functions, combining force fields and weights, estimate binding energy.
Custom scoring functions may be needed for novel force fields or molecules.

Purpose of the Study:

To outline the essential data and methods for developing custom scoring functions.
To guide users in adapting AutoDock for specific molecular systems.

Main Methods:

Describes considerations for data selection in scoring function development.
Details methodological approaches for training custom scoring functions.
Focuses on integration with the AutoDock software.

Main Results:

Provides a framework for building tailored scoring functions.
Highlights the importance of empirical data and validation.
Enables more accurate binding energy predictions for diverse molecules.

Conclusions:

Custom scoring functions enhance the accuracy of automated docking.
Careful data and method selection are key to successful function development.
This approach improves the utility of AutoDock in computational drug design.