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The [course_title] course examines the computational and experimental analysis of biological systems. You will know this analysis from genetic, molecular, cellular, and cell population levels. The course focuses on the modelling of complex dynamic systems and protein design and engineering.  You will learn about gene sequence analysis, molecular modelling, metabolic and gene regulation networks, signal transduction pathways and cell populations in tissues in the course.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT

Course Curriculum

Introduction: Modeling and Manipulating Biomolecular Interactions 00:30:00
Protein Structure and Energetics 00:45:00
Interaction Specificity 01:00:00
Molecular Design Part 1 01:00:00
Modeling Disease 00:30:00
Protein Structure Prediction 00:30:00
Network Modeling 00:30:00
Introduction, goals and rationale for the course, protein-ligand interactions 00:15:00
Enzyme kinetics, Michaelis-Menten kinetics 00:30:00
Kinase engineering, competitive inhibition, non-competitive inhibition, epidermal growth factor receptor (EGFR) in cancer, regulation of kinase activity 00:30:00
Constitutive kinases, modeling kinases, how to shut down kinases, multiple substrates, modeling abstraction, mitogen-activated protein kinase (MAPK) cascade 00:30:00
Ultrasensitivity / amplification in the MAPK cascade 00:30:00
Signal shut-down 00:30:00
Transcription factor (TF) phosphorylation 00:30:00
Transcriptional regulation: Simple regulation, positive and negative autoregulation 00:30:00
Predictive models of biology, genome editing, sensors, light-activated proteins, new enzymes, electrostatics 00:30:00
Hydrogen bonding, the hydrophobic effect, how we represent proteins 00:15:00
Paralogues and orthologues, protein therapeutics 00:15:00
Specificity 00:15:00
The metropolis algorithm 00:15:00
Gradient descent, molecular dynamics, ΔΔG for small molecules, pharma priorities 00:30:00
Drug development case study: Imatinib 00:15:00
Impact of drug delivery of effectiveness 00:15:00
Protein folding: thermodynamics 00:15:00
Kinetics of folding, predicting protein structure 00:30:00
Structure from sequence 00:15:00
Kinases, graph theory, experimental and computational techniques 00:30:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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