Mathematical Models as Bioscience Educational Informatics Tools

Kumar, Dhanush; Subramanyan, Pratheeksha; Prasad, Amitha; Kaimal, Athira; Santhosh, Aiswarya; Nair, Bipin; Achuthan, Krishnashree; Diwakar, Shyam

doi:10.1109/icacci.2018.8554810

Cited by 1 publication

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References 23 publications

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“…This complex consists of a mixture of proteins that quickly bind and unlink from the DNA in accordance with certain mathematical formulas. In the second approach, the two stable states of DNA are only the state with M-molecules bound to the DNA and the state without M-molecules bound to the DNA [44] [45]. In both cases, we have…”

Section: Hill Expression Modelmentioning

confidence: 99%

Review of Mathematical Modelling Techniques with Applications in Biosciences

2022

ijcsm

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Modelling can provide intellectual frameworks that are necessary to translate data into knowledge. Mathematical modelling has played an important role in many applications, such as ecology, genetics, engineering, psychology, sociology, physics and computer science, in recent years. This study focused on reviewing mathematical modelling and its applications to biological systems by tracing many metabolic activities of cellular interactions on the one hand and between the spread of epidemics and population growth on the other hand. Various mathematical equations have played fundamental roles in the formation of these systems for model development procedures by describing them mathematically and establishing relationships that characterise the dynamics of a biological phenomenon. Consequently, the creation of new mathematical representations and simulation algorithms is important to the success of biological modelling initiatives. Finally, the optimisation approach performs its primary role in directing and controlling interactions by adjusting the parameters that provide the best possible result for the system

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Section: Hill Expression Modelmentioning

confidence: 99%

Review of Mathematical Modelling Techniques with Applications in Biosciences

2022

ijcsm

View full text Add to dashboard Cite

show abstract

Mathematical Models as Bioscience Educational Informatics Tools

Cited by 1 publication

References 23 publications

Review of Mathematical Modelling Techniques with Applications in Biosciences

Review of Mathematical Modelling Techniques with Applications in Biosciences

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