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Related Concept Videos

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...
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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.
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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...
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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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Metal-Ligand Bonds02:51

Metal-Ligand Bonds

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The hemoglobin in the blood, the chlorophyll in green plants, vitamin B-12, and the catalyst used in the manufacture of polyethylene all contain coordination compounds. Ions of the metals, especially the transition metals, are likely to form complexes.
In these complexes, transition metals form coordinate covalent bonds, a kind of Lewis acid-base interaction in which both of the electrons in the bond are contributed by a donor (Lewis base) to an electron acceptor (Lewis acid). The Lewis acid in...
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Updated: Apr 23, 2026

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
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A protein surface-aware multimodal framework for residue-level metal-binding site recognition.

Bowen Shao1, Pengpai Li1, Zhi-Ping Liu2

  • 1Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China.

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|April 21, 2026
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Summary

MetalBind accurately identifies metal-binding sites on proteins using a novel deep learning framework. This tool aids in understanding metalloprotein function and designing new proteins.

Keywords:
CP: computational biologygeometric deep learningmetal-binding site predictionmultimodal fusionprotein language modelssurface point-cloud representation

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Identifying metal-binding sites is crucial for understanding metalloprotein function.
  • Existing methods lack accuracy and broad applicability across different metals.

Purpose of the Study:

  • To develop a highly accurate, multimodal deep learning framework for residue-level identification of metal-binding sites.
  • To enhance the annotation of metalloproteomes and facilitate the design of engineered metalloproteins.

Main Methods:

  • Developed MetalBind, a protein surface-aware deep learning framework.
  • Integrated protein sequence embeddings, atom-specific physicochemical features, and geometry-informed surface point learning.
  • Benchmarked performance across 13 metal-specific datasets.

Main Results:

  • MetalBind demonstrates superior predictive accuracy compared to existing methods.
  • Achieved high efficacy even with limited training data.
  • Validated performance across diverse biologically relevant metals.

Conclusions:

  • MetalBind significantly advances metalloproteome annotation and functional metalloprotein discovery.
  • The framework's robustness with sparse data makes it valuable for large-scale applications.
  • An online implementation is publicly available to support the research community.