Abstract
Membrane computing is a field in computer science that is inspired from the structure and the processes of living cells and is being considered as an alternative in solving the limitations in conventional mathematical approaches by taking into consideration its essential features that are of interest for research in systems biology. Advancements in computability make it feasible to handle huge volumes of data in biology and propose a new and better approach using a discreet computer science model, such as membrane computing. In this respect, membrane-computing abilities, to enhance the understanding of the system level of biological systems, have been explored. This study discusses experiences in applying membrane computing in modeling biological systems as well as possibilities of incorporating membrane computing into other computer science paradigms to enhance the use of membrane computing in systems biology. Experiences in modeling aspects of systems biology with membrane computing demonstrate additional advantages and possibilities compared with conventional methods. However, they are not yet used widely to model or simulate biological processes or systems. A general framework of modeling and verifying biological systems using membrane computing is essential as a guideline for biologists in their research in systems biology.
| Original language | English |
|---|---|
| Pages (from-to) | 122-127 |
| Number of pages | 6 |
| Journal | Journal of Computer Science |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
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Keywords
- Discrete systems
- Membrane computing
- Prey predator population
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Artificial Intelligence
Cite this
Membrane computing as the paradigm for modeling systems biology. / Muniyandi, Ravie Chandren; Mohd. Zin, Abdullah.
In: Journal of Computer Science, Vol. 9, No. 1, 2013, p. 122-127.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Membrane computing as the paradigm for modeling systems biology
AU - Muniyandi, Ravie Chandren
AU - Mohd. Zin, Abdullah
PY - 2013
Y1 - 2013
N2 - Membrane computing is a field in computer science that is inspired from the structure and the processes of living cells and is being considered as an alternative in solving the limitations in conventional mathematical approaches by taking into consideration its essential features that are of interest for research in systems biology. Advancements in computability make it feasible to handle huge volumes of data in biology and propose a new and better approach using a discreet computer science model, such as membrane computing. In this respect, membrane-computing abilities, to enhance the understanding of the system level of biological systems, have been explored. This study discusses experiences in applying membrane computing in modeling biological systems as well as possibilities of incorporating membrane computing into other computer science paradigms to enhance the use of membrane computing in systems biology. Experiences in modeling aspects of systems biology with membrane computing demonstrate additional advantages and possibilities compared with conventional methods. However, they are not yet used widely to model or simulate biological processes or systems. A general framework of modeling and verifying biological systems using membrane computing is essential as a guideline for biologists in their research in systems biology.
AB - Membrane computing is a field in computer science that is inspired from the structure and the processes of living cells and is being considered as an alternative in solving the limitations in conventional mathematical approaches by taking into consideration its essential features that are of interest for research in systems biology. Advancements in computability make it feasible to handle huge volumes of data in biology and propose a new and better approach using a discreet computer science model, such as membrane computing. In this respect, membrane-computing abilities, to enhance the understanding of the system level of biological systems, have been explored. This study discusses experiences in applying membrane computing in modeling biological systems as well as possibilities of incorporating membrane computing into other computer science paradigms to enhance the use of membrane computing in systems biology. Experiences in modeling aspects of systems biology with membrane computing demonstrate additional advantages and possibilities compared with conventional methods. However, they are not yet used widely to model or simulate biological processes or systems. A general framework of modeling and verifying biological systems using membrane computing is essential as a guideline for biologists in their research in systems biology.
KW - Discrete systems
KW - Membrane computing
KW - Prey predator population
UR - http://www.scopus.com/inward/record.url?scp=84880126056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880126056&partnerID=8YFLogxK
U2 - 10.3844/jcssp.2013.122.127
DO - 10.3844/jcssp.2013.122.127
M3 - Article
AN - SCOPUS:84880126056
VL - 9
SP - 122
EP - 127
JO - Journal of Computer Science
JF - Journal of Computer Science
SN - 1549-3636
IS - 1
ER -