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mebipred: identifying metal-binding potential in protein sequence
External Source
chorus
Document Type
Version of Record
Authors
A A Aptekmann (Department of Biochemistry and Microbiology, Rutgers University , New Brunswick, NJ 08873, USA)
J Buongiorno (Division of Natural Sciences, Maryville College, Maryville, TN 37804, USA)
D Giovannelli (Institute of Marine and Coastal Sciences, Rutgers University , New Brunswick, NJ 08901, USA)
M Glamoclija (Department of Earth and Environmental Sciences, Rutgers University , Newark, NJ 07102, USA)
D U Ferreiro (Protein Physiology Lab, Departamento de Quimica Biologica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires-CONICET-IQUIBICEN , 1428 Buenos Aires, Argentina)
Y Bromberg (Department of Biochemistry and Microbiology, Rutgers University , New Brunswick, NJ 08873, USA)
Date Acquired
February 10, 2024
Publication Date
May 27, 2022
Publication Information
Publication: Bioinformatics
Publisher: Oxford University Press (OUP)
Volume: 38
Issue: 14
Issue Publication Date: July 11, 2022
ISSN: 1367-4803
e-ISSN: 1367-4811
DOI: 10.1093/bioinformatics/btac358
Funding Number(s)
funding: 80NSSC18M0093
funding: 1553289
funding: R01 GM115486
funding: 948972
Distribution Limits
Public
Keywords
computational mathematics
computational theory and mathematics
computer science applications
molecular biology
biochemistry
statistics and probability

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