What you will learn
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Biotechnology and Bioengineering
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Biotechnology
Every living cell is the result beautifully concerted interplay of metabolic, signalling and regulatory networks. Systems biology has heralded a systematic quantitative approach to study these complex networks, to understand, predict and manipulate biological systems. Systems biology has had a positive impact on metabolic engineering as well as the pharmaceutical industry. This course seeks to introduce key concepts of mathematical modelling, in the context of different types biological networks. The course will cover important concepts from network biology, modelling of dynamic systems and parameter estimation, as well as constraint-based metabolic modelling. Finally, we will also touch upon some of the cutting-edge topics in the field. The course has a significant hands-on component, emphasizing various software tools and computational methods for systems biology.
01 - Introduction
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21:26
02 - Introduction to Modelling
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24:04
03 - Introduction to Modelling
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13:34
04 - Fundamentals of Mathematical Modelling
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17:20
05 - Fundamentals of Mathematical Modelling
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18:49
06 - Fundamentals of Mathematical Modelling
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51:21
07 - Some Example Models
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05:51
08 - Representation of Biological Networks
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08:49
09 - Lab: MATLAB Basics
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12:45
10 - Lab: MATLAB Basics
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08:35
11 - Lab: MATLAB Basics
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22:00
12 - Lab: MATLAB Basics
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13:49
13 - Introduction to Networks
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14:31
14 - Introduction to Networks
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20:58
15 - Introduction to Network Biology
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25:02
16 - Introduction to Network Biology
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10:31
17 - Introduction to Network Biology
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10:31
18 - Network Biology
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13:11
19 - Network Models
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08:10
20 - Network Models
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27:58
28 - Network Biology: Recap
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37:27
29 - Lab: Network Models & Perturbations
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07:16
30 - Lab: Network Models & Perturbations
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46:21
31 - Reconstruction of Gene Regulatory Networks
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32:06
32 - Reconstruction of Protein Networks
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16:35
33 - Reconstruction of Signalling Networks
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12:42
34 - Reconstruction of Signalling Networks
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14:23
35 - Introduction to Dynamic Modelling
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10:54
36 - Introduction to Dynamic Modelling
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22:54
37 - Introduction to Dynamic Modelling
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09:04
38 - Lab: Solving ODEs in MATLAB
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19:50
39 - Lab: Example Biological Model
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17:42
40 - Parameter Estimation
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12:45
41 - Parameter Estimation
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16:59
42 - Parameter Estimation
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19:58
43 - Methods for Parameter Estimation
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23:57
44 - Direct Search Methods
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23:13
45 - Genetic Algorithms
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12:14
46 - Genetic Algorithms
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20:44
47 - Other Evolutionary Algorithms
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21:24
48 - PyGMO
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15:54
49 - Dynamic Modelling Recap
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11:58
50 - Lab: Parameter Estimation
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30:31
51 - Guest Lecture: Modelling in Drug Development
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18:28
52 - Guest Lecture: Modelling in Drug Development
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19:13
53 - Guest Lecture: Quantitative Systems Pharmacology
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29:35
54 - Guest Lecture: Quantitative Systems Pharmacology
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06:03
55 - Guest Lecture: Quantitative Systems Pharmacology
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12:14
56 - Constraint-based Modelling of Metabolic Networks
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22:53
57 - Flux Balance Analysis
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21:21
58 - Flux Balance Analysis
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21:39
59 - Flux Balance Analysis
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16:28
60 - Other Constraint-Based Approaches
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17:41
61 - Other Constraint-Based Approaches
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11:51
62 - Lab: FBA using MATLAB
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24:19
63 - Perturbations to Metabolic Networks: Deletions
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12:48
64 - Lab: COBRA Toolbox
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46:28
65 - Understanding FBA
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15:08
66 - Understanding FBA
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16:34
67 - Perturbations to Metabolic Networks: Over-expression
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15:36
68 - Perturbations to Metabolic Networks: Synthetic Lethals
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13:07
69 - Perturbations to Metabolic Networks: Synthetic Lethals
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16:16
70 - Constraint-based Modelling of Metabolic Networks
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10:54
71 - Lab: Gene Deletions
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30:39
72 -Integrating Regulatory Information into Constraint-Based Models
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17:53
73 - Elementary Modes
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16:19
74 - Elementary Modes
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13:09
75 -Constraint-based Modelling of Metabolic Networks: Applications
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15:04
76 - Constraint-based Modelling of Metabolic Networks: Applications
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08:30
77 - Constraint-based Modelling of Metabolic Networks: Applications
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17:11
78 - Lab: Gene Deletions
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25:19
79 - Constraint-based Modelling of Metabolic Networks: Recap
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16:02
80 - Constraint-based Modelling of Metabolic Networks: Recap
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17:58
81 - Constraint-based Modelling of Metabolic Networks: Recap
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54:13
82 - $^{13}$C-Metabolic Flux Analysis using Mass Spectrometry
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11:27
83 - $^{13}$C-Metabolic Flux Analysis using Mass Spectrometry
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11:56
84 - $^{13}$C-Metabolic Flux Analysis using Mass Spectromet
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12:31
85 - Lab: $^{13}$C-Metabolic Flux Analysis using Mass Spectrometry
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32:27
86 - Modelling Gene Regulatory Networks
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13:47
87 - Modelling Gene Regulatory Networks
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15:59
88 - Modelling Gene Regulatory Networks
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14:23
89 - Lab: Modelling Gene Regulatory Networks
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21:59
90 - Lab: Modelling Gene Regulatory Networks
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16:42
91 - Computational Modelling of Host--Pathogen Interactions
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15:05
92 - Computational Modelling of Host--Pathogen Interactions
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12:36
93 - Robustness in Biological Systems
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15:16
94 - Robustness in Biological Systems: Mechanisms
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10:47
95 - Robustness in Biological Systems: Organising Principles
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15:03
96 - Robustness in Biological Systems: Trade-offs
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10:12
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Meet Your Instructor
About Instructor
VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.
Free
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Course Duration33 h 57 m 42 s
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Course LevelIntermediate
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Student Enrolled3
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LanguageEnglish
This Course Includes
- 33 h 57 m 42 s Video Lectures
- 0 Quizzes
- 0 Assignments
- 0 Downloadable Resources
- Full Lifetime Access
- Certificate of Completion