Title :
Circuit models of stochastic genetic networks
Author :
Mandal, Soumyajit ; Sarpeshkar, Rahul
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
We use analogies between chemistry and subthreshold electronics to develop fast, scalable, digitally programmable hardware models of stochastic genetic networks. We also present experimental results from a prototype 0.18 ¿m CMOS chip that was designed for rapid simulations of gene activation, transcription and translation.
Keywords :
CMOS integrated circuits; biochemistry; complex networks; equivalent circuits; genetics; stochastic processes; CMOS chip; biochemistry; fast scalable digitally programmable hardware models; gene activation; gene transcription; gene translation; stochastic genetic network circuit models; subthreshold electronics; Biological system modeling; Circuit simulation; Computational modeling; DNA; Genetics; Polymers; Proteins; RNA; Semiconductor device modeling; Stochastic processes;
Conference_Titel :
Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4917-0
Electronic_ISBN :
978-1-4244-4918-7
DOI :
10.1109/BIOCAS.2009.5372073
