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Ligand Binding Sites02:40

Ligand Binding Sites

13.1K
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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Conserved Binding Sites01:49

Conserved Binding Sites

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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.
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...
4.3K
Protein-protein Interfaces02:04

Protein-protein Interfaces

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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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Ligand Binding and Linkage00:49

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...
4.9K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.3K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
13.3K
Gene Families01:57

Gene Families

9.0K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
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Related Experiment Video

Updated: Sep 3, 2025

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

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MIB2: metal ion-binding site prediction and modeling server.

Chih-Hao Lu1,2, Chih-Chieh Chen3, Chin-Sheng Yu4

  • 1The Ph.D. Program of Biotechnology and Biomedical industry, China Medical University, Taichung 404333, Taiwan.

Bioinformatics (Oxford, England)
|July 29, 2022
PubMed
Summary

MIB2 is a new tool that predicts metal ion binding sites on proteins, even when their structures are unknown. It improves accuracy and supports 18 metal ion types for better biological insights.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Structural biology

Background:

  • Structure-based prediction methods for protein metal ion binding sites are limited by the availability of experimentally solved protein structures.
  • Accurate prediction of metal ion binding sites is crucial for understanding protein function and designing novel metallodrugs.

Purpose of the Study:

  • To develop an improved computational tool, MIB2, for predicting metal ion binding sites on proteins.
  • To overcome the limitations of existing structure-based prediction methods by incorporating predicted protein structures.
  • To enhance the accuracy and scope of metal ion binding site predictions, including a wider range of metal ion types.

Main Methods:

  • MIB2 integrates the (PS)2 method with the AlphaFold Protein Structure Database to obtain predicted protein structures.
  • The tool performs metal ion docking and predicts potential binding residues using these predicted structures.
  • MIB2 utilizes an expanded set of MIB residue templates and a metal ion type-specific scoring function.

Main Results:

  • MIB2 demonstrates improved prediction performance compared to previous methods.
  • The tool successfully predicts metal ion binding sites for proteins lacking solved structures.
  • MIB2 supports predictions for 18 different types of metal ions, expanding its applicability.

Conclusions:

  • MIB2 offers a significant advancement in computational prediction of protein metal ion binding sites.
  • The tool's ability to use predicted structures makes it valuable for a broader range of proteins.
  • MIB2 provides a more accurate and versatile platform for metalloprotein research.