ArticleBioinformatics (Oxford, England)2008
MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings.Bioinformatics (Oxford, England) · 2024Article
- Designing of a multi-epitopes based vaccine againstFrontiers in immunology · 2024Article
- 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
- Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.BMC bioinformatics · 2016Article
- Peroxidase gene discovery from the horseradish transcriptome.BMC genomics · 2014Article
- An iron-sulfur cluster in the polymerase domain of yeast DNA polymerase ε.Journal of molecular biology · 2014Article
- Joint probabilistic-logical refinement of multiple protein feature predictors.BMC bioinformatics · 2014Article
- Cloning, in silico characterization and prediction of three dimensional structure of SbDof1, SbDof19, SbDof23 and SbDof24 proteins from Sorghum [Sorghum bicolor (L.) Moench].Molecular biotechnology · 2013Article
- Article
- The zinc regulated antivirulence pathway of Salmonella is a multiprotein immunoglobulin adhesion system.The Journal of biological chemistry · 2012Article
- Metal dealing at the origin of the Chordata phylum: the metallothionein system and metal overload response in amphioxus.PloS one · 2012Article
- Article
- Phosfinder: a web server for the identification of phosphate-binding sites on protein structures.Nucleic acids research · 2011Article
- MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.Nucleic acids research · 2011Article
- Biological systems discovery in silico: radical S-adenosylmethionine protein families and their target peptides for posttranslational modification.Journal of bacteriology · 2011Article
- Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy.Genome research · 2011Article
- Post-translational modifications of the gamma-subunit affect intracellular trafficking and complex assembly of GlcNAc-1-phosphotransferase.The Journal of biological chemistry · 2011Article
- Metalloproteomics: forward and reverse approaches in metalloprotein structural and functional characterization.Current opinion in chemical biology · 2011Review
- Phosphorylcholine Phosphatase: A Peculiar Enzyme of Pseudomonas aeruginosa.Enzyme research · 2011Article
- DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines.Nucleic acids research · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
unlabelledThe web server MetalDetector classifies histidine residues in proteins into one of two states (free or metal bound) and cysteines into one of three states (free, metal bound or disulfide bridged). A decision tree integrates predictions from two previously developed methods (DISULFIND and Metal Ligand Predictor). Cross-validated performance assessment indicates that our server predicts disulfide bonding state at 88.6% precision and 85.1% recall, while it identifies cysteines and histidines in transition metal-binding sites at 79.9% precision and 76.8% recall, and at 60.8% precision and 40.7% recall, respectively. AVAILABILITY: Freely available at http://metaldetector.dsi.unifi.it. SUPPLEMENTARY INFORMATION: Details and data can be found at http://metaldetector.dsi.unifi.it/help.php.
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.