ArticleNucleic acids research2011
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- Multivalent ion binding site identification with structure-based deep learning.Communications biology · 2026Article
- FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.BMC bioinformatics · 2026Article
- A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond.Briefings in bioinformatics · 2024Review
- Identifying Metal Binding Sites in Proteins Using Homologous Structures, the MADE Approach.Journal of chemical information and modeling · 2023Article
- Co-evolution-based prediction of metal-binding sites in proteomes by machine learning.Nature chemical biology · 2023Article
- mebipred: identifying metal-binding potential in protein sequence.Bioinformatics (Oxford, England) · 2022Article
- The MreA Metal-Binding Sites C40, H65, and C69 Play a Critical Role in the Metal Tolerance of Pseudomonas putida KT2440.Current microbiology · 2022Article
- Machine Learning Approaches for Metalloproteins.Molecules (Basel, Switzerland) · 2022Review
- Torpedo californica acetylcholinesterase is stabilized by binding of a divalent metal ion to a novel and versatile 4D motif.Protein science : a publication of the Protein Society · 2021Article
- Bioinformatics of Metalloproteins and Metalloproteomes.Molecules (Basel, Switzerland) · 2020Review
- Determinants of Copper Resistance inGenes · 2020Article
- Structure of galactarate dehydratase, a new fold in an enolase involved in bacterial fitness after antibiotic treatment.Protein science : a publication of the Protein Society · 2020Article
- The Case for Enzymatic Competitive Metal Affinity Methods.ACS catalysis · 2020Article
- Neuronal megalin mediates synaptic plasticity-a novel mechanism underlying intellectual disabilities in megalin gene pathologies.Brain communications · 2020Article
- Simple Coordination Geometry Descriptors Allow to Accurately Predict Metal-Binding Sites in Proteins.ACS omega · 2019Article
- Characterizing metal-binding sites in proteins with X-ray crystallography.Nature protocols · 2018Article
- Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model.Genomics & informatics · 2017Article
- Computational approaches forBioscience reports · 2017Review
- Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.BMC bioinformatics · 2016Article
- Minimal Functional Sites in Metalloproteins and Their Usage in Structural Bioinformatics.International journal of molecular sciences · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MetalDetector identifies CYS and HIS involved in transition metal protein binding sites, starting from sequence alone. A major new feature of release 2.0 is the ability to predict which residues are jointly involved in the coordination of the same metal ion. The server is available at http://metaldetector.dsi.unifi.it/v2.0/.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.