Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Lab Chip ; 6(6): 819-22, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16738736

ABSTRACT

Impedance sensors in thick film technology have been tested as a tool for electric cell-substrate impedance sensing. The screen printed Pt electrodes have a width of 250-400 microm. Electrodes and the surrounding ceramic chip substrate could be homogeneously grown with L-929 and Hela cells. The performance of a screen printed interdigitated electrode structure (IDES) was compared with that of thin film structures with the same layout geometry. The thick film impedance sensors allowed to correctly record the morphological response of confluent Hela cell layers to stimulation with histamine. A thick film conductivity sensor also revealed impedance values which were dependent on cell growth on the electrode surface, even at a very low frequency range of approximately 1 Hz.


Subject(s)
Biosensing Techniques/methods , Electrodes , Microfluidic Analytical Techniques/methods , Animals , Cell Growth Processes/physiology , Ceramics/chemistry , Electric Impedance , Fibroblasts/cytology , Glass , HeLa Cells , Humans , Mice , Platinum/chemistry
2.
J Theor Biol ; 229(1): 13-8, 2004 Jul 07.
Article in English | MEDLINE | ID: mdl-15178181

ABSTRACT

In order to understand the mechanism of protein folding and to assist the rational de-novo design of fast-folding, non-aggregating and stable artificial enzymes it is very helpful to be able to simulate protein folding reactions and to predict the structures of proteins and other biomacromolecules. Here, we use a method of computer programming called "evolutionary computer programming" in which a program evolves depending on the evolutionary pressure exerted on the program. In the case of the presented application of this method on a computer program for folding simulations, the evolutionary pressure exerted was towards faster finding deep minima in the energy landscape of protein folding. Already after 20 evolution steps, the evolved program was able to find deep minima in the energy landscape more than 10 times faster than the original program prior to the evolution process.


Subject(s)
Computer Simulation , Evolution, Molecular , Protein Folding , Amino Acid Sequence , Animals
SELECTION OF CITATIONS
SEARCH DETAIL
...