Snoep, Jacky L.

The systems biology graphical notation.

Novère, N. L., Hucka, M., Mi, H., Moodie, S., Schreiber, F., Sorokin, A., Demir, E., Wegner, K., Aladjem, M. I., Wimalaratne, S. M., et al. (2009) · Nature Biotechnology

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

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Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry

Teusink, B., Passarge, J., Reijenga, C. A., Esgalhado, E., van der Weijden, C. C., Schepper, M., Walsh, M. C., Bakker, B. M., van Dam, K., Westerhoff, H. V., et al. (2000) · European Journal of Biochemistry

Microbial Metabolic Engineering and BioproductionFungal and yeast genetics research

Cited by 694

Minimum information requested in the annotation of biochemical models (MIRIAM)

Novère, N. L., Finney, A., Hucka, M., Bhalla, U. S., Campagne, F., Collado-Vides, J., Crampin, E. J., Halstead, M., Klipp, E., Mendes, P., et al. (2005) · Nature Biotechnology

Gene Regulatory Network AnalysisScientific Computing and Data Management

Cited by 622

Web-based kinetic modelling using JWS Online

Olivier, B. G., & Snoep, J. L. (2004) · Bioinformatics

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

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Metabolic engineering of lactic acid bacteria, the combined approach: kinetic modelling, metabolic control and experimental analysis The GenBank accession number for the sequence reported in this paper is AY046926.

Hoefnagel, M. H. N., Starrenburg, M. J. C., Martens, D. E., Hugenholtz, J., Kleerebezem, M., Van Swam, I. I., Bongers, R., Westerhoff, H. V., & Snoep, J. L. (2002) · Microbiology

Microbial Metabolic Engineering and BioproductionProbiotics and Fermented Foods

Cited by 214

Minimum Information About a Simulation Experiment (MIASE)

Waltemath, D., Adams, R., Beard, D. A., Bergmann, F. T., Bhalla, U. S., Britten, R., Chelliah, V., Cooling, M. T., Cooper, J., Crampin, E. J., et al. (2011) · PLoS Computational Biology

Scientific Computing and Data ManagementGene Regulatory Network Analysis

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Harmonizing semantic annotations for computational models in biology

Neal, M. L., König, M., Nickerson, D., Mısırlı, G., Kalbasi, R., Dräger, A., Atalag, K., Chelliah, V., Cooling, M. T., Cook, D. L., et al. (2019) · Briefings in Bioinformatics

Biomedical Text Mining and OntologiesScientific Computing and Data Management

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11-Oxygenated androgen precursors are the preferred substrates for aldo-keto reductase 1C3 (AKR1C3): implications for castration resistant prostate cancer

Barnard, M., Quanson, J. L., Mostaghel, E., Pretorius, E., Snoep, J. L., & Storbeck, K.-H. (2018) · The Journal of Steroid Biochemistry and Molecular Biology

Prostate Cancer Treatment and ResearchAldose Reductase and Taurine

Cited by 72

The evolution of standards and data management practices in systems biology

Stanford, N. J., Wolstencroft, K., Golebiewski, M., Kania, R., Juty, N., Tomlinson, C., Owen, S., Butcher, S., Hermjakob, H., Le Novère, N., et al. (2015) · Molecular Systems Biology

Scientific Computing and Data ManagementResearch Data Management Practices

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The A-ring reduction of 11-ketotestosterone is efficiently catalysed by AKR1D1 and SRD5A2 but not SRD5A1

Barnard, L., Nikolaou, N., Louw, C., Schiffer, L., Gibson, H., Gilligan, L. C., Gangitano, E., Snoep, J., Arlt, W., Tomlinson, J. W., et al. (2020) · The Journal of Steroid Biochemistry and Molecular Biology

Hormonal and reproductive studiesAdrenal Hormones and Disorders

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