Unit 1
Introduction to complex systems – cell signalling – metabolic network – experimental technologies – network building analysis – enzyme kinetics – metabolic analysis – flux balance analysis
| Course Name | AI in system biology |
| Course Code | 23AID447 |
| Program | B.Tech in Artificial Intelligence and Data Science |
| Credits | 3 |
| Campus | Coimbatore , Amritapuri ,Faridabad , Bangaluru, Amaravati |
Introduction to complex systems – cell signalling – metabolic network – experimental technologies – network building analysis – enzyme kinetics – metabolic analysis – flux balance analysis
Modelling, construction and simulation of the biological network using AI – dynamic modelling of biological systems – network structure analysis using AI– ML/DL algorithm to design gene circuit
Modelling the behaviour of single cells using AI – AI accelerated cell and gene therapy – AI to analyse cryo-electron tomogram.
Ethical and legal considerations of AI in System biology – Future directions and opportunities for AI in Biotechnology
Course Objectives
Course Outcomes
After completing this course, students will be able to
|
CO1 |
Analysis biological networks |
|
CO2 |
Develop the ability to apply ML/DL techniques to understand and analyse biological networks, signal transduction, metabolic network, and gene regulatory network in physiology and pathology. |
|
CO3 |
Design and simulate network-based mathematical and statistical models. |
|
CO4 |
Develop pipelines for biochemical pathway analysis based on recent Omics studies and AI developments. |
CO-PO Mapping
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PO/PSO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO |
|||||||||||||||
|
CO1 |
3 |
3 |
2 |
2 |
3 |
– |
– |
– |
3 |
2 |
3 |
3 |
3 |
– |
– |
|
CO2 |
3 |
3 |
3 |
3 |
3 |
2 |
– |
– |
3 |
2 |
3 |
3 |
– |
3 |
2 |
|
CO3 |
3 |
2 |
3 |
3 |
3 |
– |
– |
– |
3 |
2 |
3 |
3 |
– |
3 |
2 |
|
CO4 |
3 |
3 |
3 |
2 |
3 |
– |
– |
– |
3 |
2 |
3 |
3 |
– |
2 |
3 |
Evaluation Pattern
|
Assessment |
Internal/External |
Weightage (%) |
|
Assignments (minimum 2) |
Internal |
30 |
|
Quizzes (minimum 2) |
Internal |
20 |
|
Mid-Term Examination |
Internal |
20 |
|
Term Project/ End Semester Examination |
External |
30 |
Text Books / References
Raman K (2021) An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks. 1/e ISBN 9781138597327 (Chapman and Hall/CRC)
Voit E (2012) A First Course in Systems Biology. Garland Science, 1/e. ISBN 081534467 Recent literature
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