{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:53:43Z","timestamp":1775080423454,"version":"3.50.1"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: The 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.<\/jats:p>\n               <jats:p>Availability: Freely available at http:\/\/metaldetector.dsi.unifi.it<\/jats:p>\n               <jats:p>Contact: \u00a0metaldetector@dsi.unifi.it<\/jats:p>\n               <jats:p>Supplementary Information: Details and data can be found at http:\/\/metaldetector.dsi.unifi.it\/help.php<\/jats:p>","DOI":"10.1093\/bioinformatics\/btn371","type":"journal-article","created":{"date-parts":[[2008,7,18]],"date-time":"2008-07-18T00:25:07Z","timestamp":1216340707000},"page":"2094-2095","source":"Crossref","is-referenced-by-count":50,"title":["MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence"],"prefix":"10.1093","volume":"24","author":[{"given":"Marco","family":"Lippi","sequence":"first","affiliation":[{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Passerini","sequence":"additional","affiliation":[{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Punta","sequence":"additional","affiliation":[{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"},{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"},{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Burkhard","family":"Rost","sequence":"additional","affiliation":[{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"},{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"},{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Frasconi","sequence":"additional","affiliation":[{"name":"1 Machine Learning and Neural Networks Group, Dipartimento di Sistemi e Informatica, Universit\u00e0 degli Studi di Firenze, Via di Santa Marta 3, 50139 Firenze, Italy, 2Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 3Columbia University Center for Computational Biology and Bioinformatics (C2B2), 1130 St Nicholas Ave. and 4Northeast Structural Genomics Consortium (NESG), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2008,7,16]]},"reference":[{"issue":"Web Server issue","key":"2023020211121147500_B1","doi-asserted-by":"crossref","first-page":"W177","DOI":"10.1093\/nar\/gkl266","article-title":"Disulfind: a disulfide bonding state and cysteine connectivity prediction server","volume":"34","author":"Ceroni","year":"2006","journal-title":"Nucleic Acids Res."},{"key":"2023020211121147500_B2","doi-asserted-by":"crossref","first-page":"3775","DOI":"10.1111\/j.1742-4658.2007.05918.x","article-title":"The modulation of metal bio-availability as a therapeutic strategy for the treatment of alzheimer's disease","author":"Crouch","year":"2007","journal-title":"FEBS J."},{"key":"2023020211121147500_B3","doi-asserted-by":"crossref","first-page":"6116","DOI":"10.1093\/nar\/gkl862","article-title":"Role of metal ions in catalysis by hiv integrase analyzed using a quantitative pcr disintegration assay","author":"Diamond","year":"2006","journal-title":"Nucleic Acids Res."},{"key":"2023020211121147500_B4","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.cbpc.2007.07.010","article-title":"Zinc, antioxidant systems and metallothionein in metal mediated-apoptosis: biochemical and cytochemical aspects","author":"Formigari","year":"2007","journal-title":"Comp. 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