Dr. rer. nat. habil. Dirk Drasdo

Dr. rer. nat. habil. Dirk Drasdo
Tel: +33 1 39 63 5036
E-Mail: dirk.drasdo@inria.fr
Web:
Room: INRIA (French National Institute for Research in Computer Science and Control)
Position: Project Leader
Group:

Academic Career

Scientific Interests

Publications

2017 (1)

  • S. Hoehme, A. Friebel, S. Hammad, D. Drasdo, J. G. Hengstler. Creation of Three-Dimensional Liver Tissue Models from Experimental Images for Systems Medicine. Methods Mol Biol. 2017. 1506: 319-362.

2016 (2)

  • N. Jagiella, B. Muller, M. Muller, I. E. Vignon-Clementel, D. Drasdo. Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image Data. PLoS Comput Biol. 2016. 12: e1004412.
  • A. Ghallab, G. Celliere, S. G. Henkel, D. Driesch, S. Hoehme, U. Hofmann, S. Zellmer, P. Godoy, A. Sachinidis, M. Blaszkewicz, R. Reif, R. Marchan, L. Kuepfer, D. Haussinger, D. Drasdo, R. Gebhardt, J. G. Hengstler. Model-guided identification of a therapeutic strategy to reduce hyperammonemia in liver diseases. J Hepatol. 2016. 64: 860-71.

2015 (4)

  • P. Van Liedekerke, M. M. Palm, N. Jagiella, D. Drasdo. Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results. Computational Particle Mechanics. 2015. 2: 401-444.
  • A. Ghallab, G. Celliere, S. G. Henkel, D. Driesch, S. Höhme, U. Hofmann, S. Zellmer, P. Godoy, A. Sachinidis, M. Blaszkewicz, R. Reif, R. Marchan, L. Küpfer, D. Haussinger, D. Drasdo, R. Gebhardt, J. G. Hengstler. Model guided identification and therapeutic implications of an ammonia sink mechanism. J Hepatol. 2015.
  • A. Friebel, J. Neitsch, T. Johann, S. Hammad, J. G. Hengstler, D. Drasdo, S. Höhme. TiQuant: software for tissue analysis, quantification and surface reconstruction. Bioinformatics. 2015. 31: 3234-6.
  • L. A. D'Alessandro, S. Höhme, A. Henney, D. Drasdo, U. Klingmüller. Unraveling liver complexity from molecular to organ level: challenges and perspectives. Prog Biophys Mol Biol. 2015. 117: 78-86.

2014 (6)

  • F. Schliess, S. Höhme, S. G. Henkel, A. Ghallab, D. Driesch, J. Bottger, R. Guthke, M. Pfaff, J. G. Hengstler, R. Gebhardt, D. Haussinger, D. Drasdo, S. Zellmer. Integrated metabolic spatial-temporal model for the prediction of ammonia detoxification during liver damage and regeneration. Hepatology. 2014.
  • O. Wolkenhauer, C. Auffray, O. Brass, J. Clairambault, A. Deutsch, D. Drasdo, F. Gervasio, L. Preziosi, P. Maini, A. Marciniak-Czochra, C. Kossow, L. Kuepfer, K. Rateitschak, I. Ramis-Conde, B. Ribba, A. Schuppert, R. Smallwood, G. Stamatakos, F. Winter, H. Byrne. Enabling multiscale modeling in systems medicine. Genome Med. 2014. 6: 21.
  • S. Hammad, S. Höhme, A. Friebel, I. von Recklinghausen, A. Othman, B. Begher-Tibbe, R. Reif, P. Godoy, T. Johann, A. Vartak, K. Golka, P. O. Bucur, E. Vibert, R. Marchan, B. Christ, S. Dooley, C. Meyer, I. Ilkavets, U. Dahmen, O. Dirsch, J. Bottger, R. Gebhardt, D. Drasdo, J. G. Hengstler. Protocols for staining of bile canalicular and sinusoidal networks of human, mouse and pig livers, three-dimensional reconstruction and quantification of tissue microarchitecture by image processing and analysis. Arch Toxicol. 2014. 88: 1161-83.
  • D. Drasdo, S. Höhme, J. G. Hengstler. How predictive QUANTITATIVE MODELING OF TISSUE ORGANIZATION can inform liver disease pathogenesis. J Hepatol. 2014.
  • D. Drasdo, J. Bode, U. Dahmen, O. Dirsch, S. Dooley, R. Gebhardt, A. Ghallab, P. Godoy, D. Haussinger, S. Hammad, S. Höhme, H. G. Holzhutter, U. Klingmüller, L. Kuepfer, J. Timmer, M. Zerial, J. G. Hengstler. The virtual liver: state of the art and future perspectives. Arch Toxicol. 2014. 88: 2071-5.
  • J. C. Alfonso, N. Jagiella, L. Nunez, M. A. Herrero, D. Drasdo. Estimating dose painting effects in radiotherapy: a mathematical model. PLoS One. 2014. 9: e89380.

2013 (1)

  • M. Tang, N. Vauchelet, I. Cheddadi, I. Vignon-Clementel, D. Drasdo, B. Perthame. Composite waves for a cell population system modeling tumor growth and invasion. Chinese Annals of Mathematics, Series B. 2013. 34: 295-318.

2012 (3)

  • I. Ramis-Conde, D. Drasdo. From genotypes to phenotypes: classification of the tumour profiles for different variants of the cadherin adhesion pathway. Phys Biol. 2012. 9: 036008.
  • H. G. Holzhutter, D. Drasdo, T. Preusser, J. Lippert, A. M. Henney. The virtual liver: a multidisciplinary, multilevel challenge for systems biology. Wiley Interdiscip Rev Syst Biol Med. 2012. 4: 221-35.
  • D. Drasdo, S. Höhme. Modeling the impact of granular embedding media, and pulling versus pushing cells on growing cell clones. New Journal of Physics. 2012. 14: 055025.

2011 (2)

  • J. G. Hengstler, M. Gehrmann, S. Höhme, D. Drasdo, J. Stewart, M. Schmidt. Systems biology, bioinformatics and medicine approaches to cancer progression outcomes. In: Cancer Systems Biology, Bioinformatics and Medicine , Springer 2011. 297-308.
  • D. Drasdo, S. Höhme, J. G. Hengstler. A quantitative mathematical modeling approach to liver regeneration. In: Liver Regeneration , de Gruyter 2011. 159-174.

2010 (6)

  • A. Krinner, M. Hoffmann, M. Löffler, D. Drasdo, J. Galle. Individual fates of mesenchymal stem cells in vitro. BMC Syst Biol. 2010. 4: 73.
  • O. Wolkenhauer, C. Auffray, S. Baltrusch, N. Bluthgen, H. Byrne, M. Cascante, A. Ciliberto, T. Dale, D. Drasdo, D. Fell, J. E Ferrell, Jr., D. Gallahan, R. Gatenby, U. Gunther, B. D. Harms, H. Herzel, C. Junghanss, M. Kunz, I. van Leeuwen, P. Lenormand, F. Levi, M. Linnebacher, J. Lowengrub, P. K. Maini, A. Malik, K. Rateitschak, O. Sansom, R. Schafer, K. Schurrle, C. Sers, S. Schnell, D. Shibata, J. Tyson, J. Vera, M. White, B. Zhivotovsky, R. Jaster. Systems biologists seek fuller integration of systems biology approaches in new cancer research programs. Cancer Res. 2010. 70: 12-3.
  • S. Höhme, D. Drasdo. A cell-based simulation software for multi-cellular systems. Bioinformatics. 2010. 26: 2641-2.
  • S. Höhme, D. Drasdo. Biomechanical and Nutrient Controls in the Growth of Mammalian Cell Populations. Mathematical Population Studies: An International Journal of Mathematical Demography. 2010. 17: 166-187.
  • S. Höhme, M. Brulport, A. Bauer, E. Bedawy, W. Schormann, M. Hermes, V. Puppe, R. Gebhardt, S. Zellmer, M. Schwarz, E. Bockamp, T. Timmel, J. G. Hengstler, D. Drasdo. Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration. Proc Natl Acad Sci U S A. 2010. 107: 10371-6.
  • A. Bräuning, Y. Singh, B. Rignall, A. Buchmann, S. Hammad, A. Othman, I. von Recklinghausen, P. Godoy, S. Höhme, D. Drasdo, J. G. Hengstler, M. Schwarz. Phenotype and growth behavior of residual beta-catenin-positive hepatocytes in livers of beta-catenin-deficient mice. Histochem Cell Biol. 2010. 134: 469-81.

2009 (5)

  • I. Ramis-Conde, M. A. Chaplain, A. R. Anderson, D. Drasdo. Multi-scale modelling of cancer cell intravasation: the role of cadherins in metastasis. Phys Biol. 2009. 6: 16008.
  • M. Radszuweit, M. Block, J. G. Hengstler, E. Scholl, D. Drasdo. Comparing the growth kinetics of cell populations in two and three dimensions. Phys Rev E Stat Nonlin Soft Matter Phys. 2009. 79: 051907.
  • A. Krinner, M. Zscharnack, A. Bader, D. Drasdo, J. Galle. Impact of oxygen environment on mesenchymal stem cell expansion and chondrogenic differentiation. Cell Prolif. 2009. 42: 471-84.
  • J. Galle, A. Krinner, P. Buske, D. Drasdo, M. Löffler. On the impact of single cell biomechanics on the spatio-temporal organization of regenerative tissue. In: World Congress on Medical Physics and Biomedical Engineering , Springer 2009. IFMBE Proceedings 25/X: 185-188.
  • H. Byrne, D. Drasdo. Individual-based and continuum models of growing cell populations: a comparison. J Math Biol. 2009. 58: 657-87.

2008 (1)

  • Ignacio Ramis-Conde, Dirk Drasdo, Alexander R.A. Anderson, Mark A.J. Chaplain. Modeling the influence of the E-cadherin-beta-catenin pathway in cancer cell invasion: a multiscale approach. Biophys J. 2008. 95: 155-165.

2007 (2)

  • M. Rohrschneider, G. Scheuermann, S. Höhme, D. Drasdo. Shape characterization of extracted and simulated tumor samples using topological and geometric measures. Conf Proc IEEE Eng Med Biol Soc. 2007. 2007: 6272-8.
  • D. Drasdo. Center-based Single-cell Models: An Approach to Multi-cellular Organization Based on a Conceptual Analogy to Colloidal Particles. In: Single-Cell-Based Models in Biology and Medicine , Birkhaeuser 2007. 171-196.

2006 (2)

  • Kristin Missal, Michael A. Cross, Dirk Drasdo. Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment. Bioinformatics. 2006. 22: 731-738.
  • J. Galle, G. Aust, G. Schaller, T. Beyer, D. Drasdo. Individual cell-based models of the spatial-temporal organization of multicellular systems--achievements and limitations. Cytometry A. 2006. 69: 704-710.

2003 (5)

  • J Galle, M Löffler, D. Drasdo. On the temporal-spatial organisation of epithelial cell populations in-vitro. In: Mathematical Modelling & Computing in Biology and Medicine , 5th ESMTB Conference 2002 2003. 413-420.
  • J Galle, M Löffler, D. Drasdo. An individual-cell based model of the growth regulation of the epithelial cell populations in vitro. In: GCB'03 , Belleville Verlag M. Farin, München 2003. 47-50.
  • D Drasdo, S. Höhme. Individual-based approaches to birth and death in avascular tumors. Mathl. Comput. Modelling. 2003. 37: 1163-1175.
  • D Drasdo, S. Höhme. How do Tumors grow in-vitro?. 2003. submitted.
  • D Drasdo, S Dormann, S Höhme, A. Deutsch. Individual-based models of Avascular Tumor growth. In: Functions and regulation of Cellular Systems: Experiments and Models , Birkhäuser 2003.

2002 (1)

  • D Drasdo, S. Höhme. Towards a quantitative single-cell based model approach to growing multicellular spheroids. In: Deformable Modeling and Soft Tissue Simulation , Elsevier Science 2002. in press.

Miscellaneous