Fran Supek

Summary

Affiliation: Medical School
Country: Croatia

Publications

  1. pmc Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity
    Fran Supek
    Division of Biology, Department of Molecular Biology, Faculty of Science, Zagreb University, Rooseveltov trg 6, 10000 Zagreb, Croatia
    BMC Bioinformatics 6:182. 2005
  2. pmc The landscape of microbial phenotypic traits and associated genes
    Maria Brbić
    Division of Electronics, Ruder Boskovic Institute, 10000 Zagreb, Croatia
    Nucleic Acids Res 44:10074-10090. 2016
  3. doi request reprint Accurate models for P-gp drug recognition induced from a cancer cell line cytotoxicity screen
    Jurica Levatić
    BioZyne Ltd, Bijenicka 54, 10000 Zagreb, Croatia
    J Med Chem 56:5691-708. 2013
  4. ncbi request reprint INCA: synonymous codon usage analysis and clustering by means of self-organizing map
    Fran Supek
    Department of Molecular Biology, Division of Biology, Faculty of Science, Zagreb University, Rooseveltov trg 6, 10000 Zagreb, Croatia
    Bioinformatics 20:2329-30. 2004
  5. pmc On relevance of codon usage to expression of synthetic and natural genes in Escherichia coli
    Fran Supek
    Division of Electronics, Rudjer Boskovic Institute, 10000 Zagreb, Croatia
    Genetics 185:1129-34. 2010
  6. ncbi request reprint Enhanced analytical power of SDS-PAGE using machine learning algorithms
    Fran Supek
    Laboratory for Information Systems, Division of Electronics, Rudjer Boskovic Institute, Bijenicka cesta 54, Zagreb, Croatia
    Proteomics 8:28-31. 2008

Collaborators

  • Maria Brbić
  • Tomislav Smuc
  • Jurica Levatić
  • Anita Krisko
  • Vedrana Vidulin
  • Matija Piškorec
  • Maja Osmak
  • Marijeta Kralj
  • Jasna Curak

Detail Information

Publications6

  1. pmc Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity
    Fran Supek
    Division of Biology, Department of Molecular Biology, Faculty of Science, Zagreb University, Rooseveltov trg 6, 10000 Zagreb, Croatia
    BMC Bioinformatics 6:182. 2005
    ..One of the common applications of codon usage analyses is to quantitatively predict gene expressivity...
  2. pmc The landscape of microbial phenotypic traits and associated genes
    Maria Brbić
    Division of Electronics, Ruder Boskovic Institute, 10000 Zagreb, Croatia
    Nucleic Acids Res 44:10074-10090. 2016
    ..Over 99% of the commonly occurring gene families are involved in genetic interactions conditional on at least one phenotype, suggesting that epistasis has a major role in shaping microbial gene content...
  3. doi request reprint Accurate models for P-gp drug recognition induced from a cancer cell line cytotoxicity screen
    Jurica Levatić
    BioZyne Ltd, Bijenicka 54, 10000 Zagreb, Croatia
    J Med Chem 56:5691-708. 2013
    ..Models are freely available at http://pgp.biozyne.com ...
  4. ncbi request reprint INCA: synonymous codon usage analysis and clustering by means of self-organizing map
    Fran Supek
    Department of Molecular Biology, Division of Biology, Faculty of Science, Zagreb University, Rooseveltov trg 6, 10000 Zagreb, Croatia
    Bioinformatics 20:2329-30. 2004
    ..Finally, INCA includes a specific unsupervised neural network algorithm, the self-organizing map, used for gene clustering according to the preferred utilization of codons...
  5. pmc On relevance of codon usage to expression of synthetic and natural genes in Escherichia coli
    Fran Supek
    Division of Electronics, Rudjer Boskovic Institute, 10000 Zagreb, Croatia
    Genetics 185:1129-34. 2010
    ..Natural E. coli genes had weaker 5' mRNA structures than the examined set of GFP variants and did not exhibit a correlation between the folding free energy of 5' mRNA structures and protein expression...
  6. ncbi request reprint Enhanced analytical power of SDS-PAGE using machine learning algorithms
    Fran Supek
    Laboratory for Information Systems, Division of Electronics, Rudjer Boskovic Institute, Bijenicka cesta 54, Zagreb, Croatia
    Proteomics 8:28-31. 2008
    ....