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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 Sites

Ligand Binding Sites

Conserved Binding Sites

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...

Conserved Binding Sites

Conserved Binding Sites

Protein-protein Interfaces

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...

Protein-Protein Interfaces

Protein-Protein Interfaces

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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MetalKB: Predicting Metal Binding Sites on Proteins with a Knowledge-Based Graph Framework.

Xuejun Zhao¹, Hao Li¹, Sheng-You Huang¹

¹School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, P. R. China.

Journal of Chemical Information and Modeling

|April 1, 2026

Summary

This summary is machine-generated.

MetalKB accurately predicts metal ion binding sites on proteins using statistical potentials and graph theory. This framework enhances understanding of protein-metal interactions and biological processes.

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A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Area of Science:

Biochemistry
Structural Biology
Computational Biology

Background:

Metal ions are essential for protein function, regulation, and stability.
Accurate prediction of metal ion binding sites is crucial for understanding biological mechanisms.

Purpose of the Study:

To develop a novel knowledge-based framework, MetalKB, for predicting metal ion binding sites on proteins.
To improve the accuracy and robustness of metal ion-protein interaction predictions.

Main Methods:

Utilized atomic-level statistical potentials and graph-theoretical strategies.
Employed clique detection for identifying donor atom clusters and generating initial coordinates.
Refined candidate coordinates using knowledge-based potentials from a protein-metal ion binding database.

Main Results:

MetalKB demonstrated competitive performance against seven methods on benchmark datasets (Metal3D, TEMSP).
Achieved high precision, recall, and F1 scores, indicating robust and stable predictions.
Successfully identified complex coordination environments, including multinuclear and bridging sites.

Conclusions:

MetalKB offers a reliable method for predicting metal ion binding sites and coordinating ligands.
The framework aids in elucidating molecular mechanisms of metal ion-dependent biological processes.
Provides 3D coordinates for metal ions and residue-level coordinating ligands.