ArticleFrontiers in genetics2020
The Identification of Metal Ion Ligand-Binding Residues by Adding the Reclassified Relative Solvent Accessibility.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Promoting Effects of Urinary Proteins from Stone Formers and Influence of Their Physicochemical Properties on Calcium Oxalate Kidney Stone Formation.Computational and structural biotechnology journal · 2026Article
- Predicting the binding residues of four small molecule ligands by utilizing ensemble algorithms with additional correlation features.Scientific reports · 2025Article
- A Comprehensive Review of Computation-Based Metal-Binding Prediction Approaches at the Residue Level.BioMed research international · 2022Review
- Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm.Frontiers in genetics · 2022Article
- Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many proteins realize their special functions by binding with specific metal ion ligands during a cell's life cycle. The ability to correctly identify metal ion ligand-binding residues is valuable for the human health and the design of molecular drug. Precisely identifying these residues, however, remains challenging work. We have presented an improved computational approach for predicting the binding residues of 10 metal ion ligands (Zn
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