MetalPredator statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Protein-metal site prediction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

MetalPredator specifications


Unique identifier OMICS_12269
Name MetalPredator
Interface Web user interface
Restrictions to use None
Input data Protein sequence(s)
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes



  • person_outline Ya Valasatava <>

Publications for MetalPredator

MetalPredator in publications

PMCID: 5493369
PMID: 28665962
DOI: 10.1371/journal.pone.0180242

[…] the cysteine residues we alkylated the protein; alkylation did not affect its metal binding activity by thermal shift assays. bioinformatics prediction servers based on protein sequence (zincpred, metalpredator, zincexplorer, metaldetector v2.0) yielded ambiguous results regarding the residues that might be directly involved in metal chelation., in order to identify whether endogenous metals […]

PMCID: 5482196
PMID: 28167677
DOI: 10.1042/BSR20160179

[…] these motifs are then used to search for similar patterns in newly identified proteins. machine learning methods have also been introduced to the problem only recently [,–]. programs such as metalpredator [], metaldetector v2.0 [], seqched server [], zincfinder [], svmprot [,] employ sequence based approaches for the prediction of the metal ion-binding sites. for instance metaldetector […]

To access a full list of publications, you will need to upgrade to our premium service.

MetalPredator institution(s)
Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry, University of Florence, Sesto Fiorentino, Italy
MetalPredator funding source(s)
This work was supported by CIRMMP and by the European Commission through the BioMedBridges and EGI-Engage project (grants nos. 284209 and 654142).

MetalPredator review

star_border star_border star_border star_border star_border
star star star star star

Alexander S. Rose

star_border star_border star_border star_border star_border
star star star star star
works as advertised, recently updated (2016)