Abstract
Gaining knowledge and engineering of biological systems require comprehensive models of cellular physiology with 100% predictability. The whole-cell models direct experiments in molecular biological science and empower simulation and computer-aided design in synthetic biology. Whole-cell modeling and simulation help in personalized medical treatment building a biological system through cell interactions. In addition, the whole-cell model can address specific issues such as transcription, regulation, pathways for protein expression and many more. Constructing comprehensive whole-cell models with enough detail and validating them is a massive work. Though considering available parameters and pathways, modeling and simulation of a cell are partially successful, still, there exist a lot of more challenges that need to be tackled. Notwithstanding the immense challenges, whole-cell models are quickly getting to be viable. This paper briefly reviews the cutting edge of existing methods and techniques with their present status and the reason for improvements required in various stages of whole-cell modeling such as (1) collection of data, (2) designing tools and model building, (3) acceleration of simulation speed and (4) visualizing and analyzing.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
