Homework
Weekly homework submissions:
Week 1 HW: Principles and Practices
Open-Source, Community-Deployed Microfluidic & Smartphone Imaging Platform (Decentralized Health Science) Table of Contents Biological engineering tool Governance and policy goals Governance actions Governance actions scoring matrix Prioritization recommendation Week 2 Lecture Prep 1. Biological engineering tool Motivation My senior year of high school, my sister got diagnosed with diabetes and I switched my prospective major from CS to Chemical and Biological Engineering. Around the same time, I watched a TED talk by Dr. Manu Prakash on his paper-fuge: an accessible, affordable, and hand-powered centrifuge. The device was made from paper and string, but could separate blood into components comparably with how multi-thousand dollar equipment do. Having grown up in a State Department family, moving around the global south (and in close proximity to USAID) I saw how solutions and processes taken for granted in the west are greatly inaccessible to a vast majority of the world; and additionally the strength of local and specific solutions to technical problems (the Indian concept of “jugaad”: frugal innovation).
Week 2 HW: DNA Read Write and Edit
Table of Contents Part 0: Basics of Gel Electrophoresis Part 1: Benchling and In-silico Gel Art Part 2: Gel Art - Restriction Digests and Gel Electrophoresis Part 3: DNA Design Challenge Part 4: Prepare a Twist DNA Synthesis Order Part 5: DNA Read/Write/Edit Part 0: Basics of Gel Electrophoresis Watched lecture, recitation AND the bootcamp 🫡
Table of Contents Python/Opentrons Artwork Post-Lab Questions Final Project Ideas 1. Python Script for Opentrons Artwork I used the opentrons-art.rcdonovan.com tool to draw out the “Ralphie” mascot logo of my undergraduate university (CU Boulder). This was the code and the produced image (the original logo is on the left). After creating the art in the opentrons tool, I just copied the array of mko2_points in and iterated over them in the color “Orange” since gold wasn’t an option.
Week 4 HW: Protein Design Part I
Table of Contents Part A: Conceptual Questions Part B: Protein Analysis and Visualization Part C: Using ML-Based Protein Design Tools Part A: Conceptual Questions Pick any 9 of the following (can skip two)
- How many molecules of amino acids do you take with a piece of 500 grams of meat? (on average an amino acid is ~100 Daltons) 2. Why do humans eat beef but do not become a cow, eat fish but do not become fish? 3. Why are there only 20 natural amino acids? 4. Can you make other non-natural amino acids? Design some new amino acids. 5. Where did amino acids come from before enzymes that make them, and before life started? 6. If you make an α-helix using D-amino acids, what handedness (right or left) would you expect? 7. Can you discover additional helices in proteins? 8. Why are most molecular helices right-handed? 9. Why do β-sheets tend to aggregate? - What is the driving force for β-sheet aggregation? 10. Why do many amyloid diseases form β-sheets? - Can you use amyloid β-sheets as materials? 11. Design a β-sheet motif that forms a well-ordered structure. Chicken breast is higher protein (32g protein/100g) but I prefer chicken thigh ;) (25g protein/100g) $500 \text{g chicken thigh} \cdot \frac{25 \text{g protein}}{100 \text{g chicken thigh}} \cdot \frac{1 \text{kg}}{1000 \text{g}} \cdot \frac{1 \text{Da}}{1.660539 \times 10^{-27} kg} \cdot \frac{1 \text{amino acid (approx)}}{100 \text{Da}}$ $=7.5276762545 \times 10^{23}\text{ amino acids}$ When you eat beef or fish, it doesn’t remain as beef or fish, it is broken down by our digestive system into its component amino acids and hence loses any characteristic of being a “fish” or a “cow”. It’s these amino acid building blocks that we then use to build up human proteins using HUMAN RNA building blocks. One explanation is that there’s only 20 natural amino acids because that was the minimum functional number to achieve the necessary chemical functionality (regarding solubility, hydrophobicity, charge, etc.). Biology doesn’t often expand unnecessarily in terms of evolution once the function that optimizes for an environment is achieved, a kind of stability is reached. Absolutely, just change the R-group on the amino acid! I’m not sure what a suitable R-group would be, but I think that something photosensitive would be really cool: an amino acid that can change conformation when excited by photons Entirely useless, but I imagined an R group like buckministerfullerene that could fully encapsulate the amino acid. Not functional at all, but could make for some sick visuals (maybe as an amino acid soccer ball for protein motors to play with) Way back when, planet Earth was a super hot primordial soup and constantly bombarded by extraplanetary objects. It’s possible that one of these objects (a meteorite or a comet) could have delivered the first amino acids. At the same time though, a 1953 study recreated the conditions of early earth and were able to produce 11 standard amino acids through pure chemical synthesis. Later as biology developed and metabolic pathways were formed, the more chemically complex amino acids could be synthesized (or delivered by extraterrestrial objects!) Natural alpha helices are made from L-amino acids and most have a right-handedness (due to the L-amino acids’ chirality). I’d suspect that making an alpha helix with D-amino acids would create a mirror image helix (left-handed) but I wonder about whether any steric hinderance would leave the helix unstable. SKIP Due to steric factors! Since the 20 amino acids all have L-chirality, the way they assemble to maximize stability and minimize steric hinderance, tend to aggregate most commonly as right-handed helices (though as you can see in a Ramachandran plot, let handed helices do exist, but are just less common) Also steric factors! β-sheets have exposed edges that can hydrogen-bond (a strong intermolecular force) that other exposed edges of other β-sheets can stick to. Hydrogen bonding is the driving force as is hydrophobic interactions with other parts of the protein and the surrounding serum. It’s about stability: if a protein is “misfolded” but the misfolded configuration is more thermodynamically stable, then it will stay that way (e.g. prion diseases). β-sheets are extremely stable, and if they misfold, especially in a way that the polar parts are inside and hydrogen bonding to each other happens, and leaves the hydrophobic part of the sheet pointing outwards further stabilizing it, it’s just a bad time. It’s extremely stable, and unable to be corrected. SKIP Part B: Protein Analysis and Visualization Briefly describe the protein you selected and why you selected it.
Week 5 HW: Protein Design Part II
Table of Contents Part A: SOD1 Binder Peptide Design Part B: BRD4 Drug Discovery Platform Tutorial Part C: Final Project: L-Protein Mutants Part A: SOD1 Binder Peptide Design Part 1: Generate Binders with PepMLM UniProt P00441 without the header: MATKAVCVLKGDGPVQGIINFEQKESNGPVKVWGSIKGLTEGLHGFHVHEFGDNTAGCTSAGPHFNPLSRKHGGPKDEERHVGDLGNVTADKDGVADVSIEDSVISLSGDHCIIGRTLVVHEKADDLGKGGNEESTKTGNAGSRLACGVIGIAQ The mutation “A4V” means the alanine at codon 4 (position) is changed to a valine. The M at the beginning is Methionine (coded by the codon AUG) but this is commonly ignored in canonical numbering since it’s the start codon. It’s there to signal the start of protein translation.