Regine Geyer


University of Lübeck
Institute of Telematics
Ratzeburger Allee 160

23562 Lübeck
Gebäude 64, 2nd Floor, Raum 37

Email:geyer(at)itm.uni-luebeck.de
Phone:+49 451 3101 6414
Fax:+49 451 3101 6404

CV

  • 2014 Bachelor Degree in Molecular Life Science 
  • 2017 Master Degree in Computer Science (Bioinformatics)

Since January 2018, I am working as research assistant at the Institute of Telematics of Prof. Dr. Stefan Fischer and I am a founding member of The Nano Group

Research Interest

  • Medical Nanodevices
  • Simulation of the Cardiovascular System and Nanodevices
  • Nano Communication Networks
  • Medical Application Scenarios

Teaching activities

  • Datenbanken 2016, 2017, 
  • Non-Standard Datenbanken 2016/17
  • Einführung in die Programmierung 2017/2018 
  • English Seminar, Nanotechnology 2018
  • Sicherheit in Netzen und verteilten Systemen 2018

Publications

2018

  • Regine Geyer and Marc Stelzner and Florian Büther and Sebastian Ebers: BloodVoyagerS - Simulation of the work environment of medical nanobots. in 5th ACM International Conference on Nanoscale Computing and Communication 2018 (ACM NanoCom`18), Reykjavik, Iceland, Sep, 2018
    BibTeX
    @INPROCEEDINGS{Geyer2018BloodVoyagerS,
    AUTHOR={Regine Geyer and Marc Stelzner and Florian {B{\"u}ther} and Sebastian Ebers},
    TITLE={{BloodVoyagerS} - Simulation of the work environment of medical nanobots},
    BOOKTITLE={5th ACM International Conference on Nanoscale Computing and Communication 2018 (ACM NanoCom'18)},
    ADDRESS={Reykjavik, Iceland},
    YEAR={2018},
    MONTH={Sep},
    DAYS={5},
    PAGES={},
    ISBN={},
    KEYWORDS={Nanonetworks; Simulation; Medical Application; Nano medicine},
    ABSTRACT={The simulation of nanobots in their working environment is crucial to
    promote their application in the medical context. Several simulators for
    nanonetworks investigate new communication paradigms at nanoscale. However,
    the influence of the environment, namely the human body, on the movement
    and communication of nanobots was not considered so far. We propose a
    framework for simulating medical nanonetworks, which integrates a
    nanonetwork simulator with a body simulator. We derive requirements for a
    body model that forms the basis for our prototypical implementation of the
    body simulator BloodVoyagerSas part of the network simulator ns-3. An
    evaluation shows that BloodVoyagerS successfully moves nanobots in the
    simulated cardiovascular system. After about 7 minutes, the nanobot
    distribution reaches a dynamic equilibrium. The prototype shows promise to
    provide a more realistic full-body simulation to investigate movement and
    communication of nanobots in medical applications.}
    }
  • Geyer, Regine and Madany Mamlouk, Amir: On the efficiency of the genetic code after frameshift mutations. PeerJ, no. 6,, pp. e4825, may,, 2018,
    BibTeX Link
    @article{10.7717/peerj.4825,
     title = {On the efficiency of the genetic code after frameshift mutations},
     author = {Geyer, Regine and Madany Mamlouk, Amir},
     year = 2018,
     month = may,
     keywords = {Standard genetic code, Overlapping codes, Frameshift mutation, Polar requirement},
     abstract = {
                Statistical and biochemical studies of the standard genetic code (SGC) have found evidence that the impact of mistranslations is minimized in a way that erroneous codes are either synonymous or code for an amino acid with similar polarity as the originally coded amino acid. It could be quantified that the SGC is optimized to protect this specific chemical property as good as possible. In recent work, it has been speculated that the multilevel optimization of the genetic code stands in the wider context of overlapping codes. This work tries to follow the systematic approach on mistranslations and to extend those analyses to the general effect of frameshift mutations on the polarity conservation of amino acids. We generated one million random codes and compared their average polarity change over all triplets and the whole set of possible frameshift mutations. While the natural code—just as for the point mutations—appears to be competitively robust against frameshift mutations as well, we found that both optimizations appear to be independent of each other. For both, better codes can be found, but it becomes significantly more difficult to find candidates that optimize all of these features—just like the SGC does. We conclude that the SGC is not only very efficient in minimizing the consequences of mistranslations, but rather optimized in amino acid polarity conservation for all three effects of code alteration, namely translational errors, point and frameshift mutations. In other words, our result demonstrates that the SGC appears to be much more than just “one in a million”.
             },
     volume = 6,
     pages = {e4825},
     journal = {PeerJ},
     issn = {2167-8359},
     url = {https://doi.org/10.7717/peerj.4825},
     doi = {10.7717/peerj.4825}
    }