Week 1 HW: Principles and Practices

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Project Ideation Process with ChatGPT 5.2

My project idea originated from my previous experimentation with algae-based bioplastics (alginate), as well as from a biomaterials workshop I attended during the 14th São Paulo Architecture Biennale. In this workshop, biomaterials researcher Heidi Jalkh presented her work combining oyster shell waste with alginate, resulting in a paste-like material that could be molded and dried into solid blocks.

Chemically, this material forms through ionic interactions between calcium ions and alginate chains, producing a hardened aggregate visually and texturally similar to concrete. However, according to her research, this material remains significantly weaker and less water-resistant than conventional cement-based materials. This weakness is largely due to the nature of ionic calcium–alginate crosslinking, which is reversible and mechanically less stable compared to the crystalline and covalent structures formed in Portland cement.

This presentation led me to question whether it might be possible to improve the hardness and water resistance of such alginate–calcium systems—potentially through synthetic biology, so that they could replace concrete in some limited construction applications, such as non-structural components or surface materials.

Because the inputs for this material are largely biological and renewable (algae-derived alginate and calcium-rich waste such as shells), and because the material forms at ambient temperatures without the high heat and CO₂ emissions required for cement production, it appeared promising as a lower-carbon alternative for certain uses where high structural performance is not required.

Why and How I used ChatGPT

I do not have prior experience with synthetic biology, nor a formal background in biology or chemistry. For this reason, I used ChatGPT as a discussion and reasoning partner to explore whether this idea was chemically, biologically, and conceptually plausible. 😅

I used the AI to:

  • ask foundational questions about chemical mechanisms,
  • test whether biological analogies (such as shell formation) were relevant,
  • explore what a minimal proof of concept could look like,
  • and understand how synbio could realistically (not so sure 😕) enter the project.

Due to time constraints and my limited technical expertise, I was not able to independently fact-check every detail of the discussion. I am fully aware that the AI may have provided simplified or partially incorrect explanations, and that all claims would need verification in a real research context. Nevertheless, I chose to continue the ideation process to see how far the concept could be developed and structured.

What follows is a condensed and organized summary of the main turning points in my discussion with ChatGPT. The original conversation was much more exploratory and messy; this section presents only the key questions and conceptual shifts that shaped the project.

Key Questions and Turning Points

1. First Question

What are the chemical and process-based differences between modern cement production and the oyster shell + alginate mixture? Why is concrete significantly stronger, more stable, and more water-resistant?

ChatGPT response (summary):

Concrete gains its strength through high-temperature limestone calcination, producing calcium oxide that reacts with water to form stable crystalline hydration products. This process creates a dense, largely irreversible mineral network.

In contrast, alginate–calcium systems rely on ionic crosslinking, which is weaker, reversible in water, and lacks hierarchical mineral organization. This explains the lower mechanical strength and durability of alginate-based materials.


2. Second Question

Is it chemically and biologically possible to modify alginate so that these weak ionic bonds become stronger and more water-resistant? How could this be done?

ChatGPT response (summary):

The discussion shifted toward biomineralization in mollusk shells, which achieve remarkable strength using the same basic inputs: calcium, organic matrices, and ambient conditions.

The key insight was that shells do not rely on simple ionic binding, but on controlled mineral nucleation guided by an organic matrix. In alginate, this control could be influenced by its M/G composition (mannuronic vs. guluronic acid units), where higher guluronic content increases calcium affinity. This suggested a pathway where alginate could act as an active mineralizing matrix, rather than a passive binder.


3. Third Question

How could this idea be tested experimentally? What would be the most basic proof of concept, how could synbio be used to tune alginate properties, and what would be the long-term vision of this research?

ChatGPT response (summary):

The project was reframed into phases:

  • Phase 1 (Proof of Concept):

    Test whether alginate matrices with spatially differentiated calcium affinity can localize mineral nucleation, rather than mineralizing uniformly.

  • Phase 2 (Synbio Integration):

    Use synthetic biology to program alginate composition and architecture by modulating the M/G ratio and G-block organization—to increase calcium affinity, promote denser biomineralization, and reduce water sensitivity through structural stabilization.

  • Phase 3 (Long-Term Vision):

    Develop biologically programmed material systems where organization precedes mineral growth, closely mimicking shell formation processes.

This led to a clear narrowing of scope: the project would not aim to outperform concrete mechanically, but to demonstrate a different material logic.


Final Research Project Summary (Developed with ChatGPT)

This project explores whether alginate-based matrices can be biologically programmed through synthetic biology to spatially control calcium mineral nucleation, shifting from passive ionic binders to active biomineralizing systems inspired by shell formation.


WEEK 01 ASSIGNMENT

Now that the project idea was defined, I continued within the same conversation in chat GPT, using this entire ideation process as the basis for answering the Week 1 assignment questions on governance and policy goals.

  1. First, describe a biological engineering application or tool you want to develop and why. This could be inspired by an idea for your HTGAA class project and/or something for which you are already doing in your research, or something you are just curious about.
ANSWER 1 (click to expand)

I want to develop a synthetic biology–enabled material system that explores how the composition of alginate can be biologically programmed to control where calcium-based mineralization occurs within a material, inspired by the way shells are formed through biomineralization.

The motivation comes from the environmental impact of conventional concrete and from natural mineralized systems, such as shells, which achieve high structural performance through low-energy, biologically guided processes rather than industrial mixing and heat.

Rather than aiming to replace concrete directly, this project focuses on a proof of concept: testing whether alginate can be transformed from a passive ionic binder into an active biomineralizing matrix capable of localizing calcium carbonate nucleation. The central idea is to use synthetic biology to modulate the alginate’s M/G composition—specifically increasing guluronic acid content to enhance calcium affinity—and to explore how such biologically tuned alginates can act as spatial cues for mineral growth.

As a biological engineering tool, this system treats polymer composition as a programmable variable, where synbio defines when, where, and how strongly the material interacts with calcium ions. By demonstrating spatially controlled calcium mineralization, this work reframes construction materials as outcomes of biological organization and process, rather than homogeneous mixtures, offering a pathway toward low-energy, low-carbon mineral-based materials inspired by shell formation.

  1. Next, describe one or more governance/policy goals related to ensuring that this application or tool contributes to an “ethical” future, like ensuring non-malfeasance (preventing harm). Break big goals down into two or more specific sub-goals.
ANSWER 2 (click to expand)

Goal 1 — Avoid environmental harm and unsafe material practices

A key ethical goal is to reduce environmental damage without introducing new risks.

Sub-goals:

  • Move away from carbon-intensive cement processes:

    Conventional cement production relies on heating limestone at very high temperatures, a process that releases large amounts of CO₂. This project explores alternative material logics that avoid these high-energy, high-emission steps.

  • Use materials already present in natural systems:

    The project prioritizes alginates and calcium-based mineralization pathways that are common in marine environments, reducing the risk of introducing toxic or persistent substances.

  • Limit the release of engineered biological systems:

    Synthetic biology is used here to guide material production, not to deploy living engineered organisms in the built environment, helping minimize ecological risks.


Goal 2 — Support responsible and equitable material scaling

Because construction materials are used at massive scale, ethical responsibility also includes how such systems might be produced and adopted.

Sub-goals:

  • Reduce dependence on extractive supply chains:

    By relying on algae-derived polymers rather than mined limestone, the project aims to reduce reliance on environmentally damaging extraction practices.

  • Encourage open and transparent material development:

    The project emphasizes shared principles and open research rather than proprietary material formulations, supporting more inclusive and accountable innovation.

  • Use materials according to real needs:

    Instead of replacing concrete everywhere, the project focuses on applications where lower-carbon alternatives are sufficient, helping avoid unnecessary material overuse.

  • Avoid competition with food systems and fertile land: Because algae can be cultivated in marine environments, alginate-based materials do not compete directly with agricultural land, freshwater resources, or food supply chains. This makes them, in theory, more suitable for global-scale deployment without exacerbating food security or land-use pressures.

  1. Next, describe at least three different potential governance “actions” by considering the four aspects below (Purpose, Design, Assumptions, Risks of Failure & “Success”).
    1. Purpose: What is done now and what changes are you proposing?
    2. Design: What is needed to make it “work”? (including the actor(s) involved - who must opt-in, fund, approve, or implement, etc)
    3. Assumptions: What could you have wrong (incorrect assumptions, uncertainties)?
    4. Risks of Failure & “Success”: How might this fail, including any unintended consequences of the “success” of your proposed actions?
ANSWER 3 (click to expand)

Action 1 — Technical governance through material-by-design constraints

Actor: Academic researchers, research labs, standards bodies

Purpose

Today, new bio-based materials are often developed by optimizing performance first, with governance and safety considered later (?not sure it this is true). This project proposes a shift where governance is embedded directly into material design, by limiting the system to non-toxic polymers and calcium-based mineralization pathways already common in nature.

Design

  • Researchers define material design constraints early (e.g. no toxic additives, no living engineered organisms in final materials).
  • Funding agencies and academic labs require projects to document how biological engineering is confined to upstream material production.
  • This works similarly to how biosafety levels or “safe-by-design” principles are applied in biomedical research.

Assumptions

  • That early design constraints will meaningfully reduce downstream risks.
  • That researchers will adopt these constraints voluntarily rather than viewing them as limiting innovation.

Risks of Failure & “Success”

  • Failure: Constraints could be too vague or inconsistently applied, offering little real protection.
  • Risk of success: Over-standardization could limit exploration of alternative bio-based materials that might also be safe but fall outside predefined categories.

Action 2 — Regulatory distinction between biological production and material deployment

Actor: Federal regulators, environmental agencies, building regulators

Purpose

Current regulatory frameworks often treat bioengineered systems as inherently risky, regardless of whether living organisms are present in the final product (?not sure if this is true). This project proposes a clear regulatory distinction between biological production processes and inert material deployment, similar to how fermentation-derived chemicals are regulated separately from live organisms.

I am not fully certain that this regulatory distinction applies cleanly to all construction scenarios. In civil construction, materials can be deployed in different ways: in prefabricated systems, the material arrives on site as a finished product, making it easier to separate biological production from material deployment. However, in cast-in-place applications, this distinction becomes less clear. If material hardening or mineralization is biologically programmed and occurs on site, the boundary between biological production and deployment may blur, since the biological process would unfold during construction rather than upstream.

Design

  • Regulators define categories separating:
    • biological production stages (regulated under biosafety rules),
    • final construction materials (regulated under building and environmental codes).
  • Approval focuses on material composition, stability, and environmental behavior, not the production method alone.
  • This mirrors regulatory approaches in pharmaceuticals, where biologically produced compounds are treated as chemicals once purified.

Assumptions

  • That regulators can clearly verify that no viable engineered organisms remain in the final material.
  • That agencies have the expertise to evaluate bio-based materials without defaulting to overly restrictive controls.

Risks of Failure & “Success”

  • Failure: Regulatory uncertainty could slow adoption or discourage research.
  • Risk of success: Easier approval pathways could encourage rapid commercialization without sufficient lifecycle or environmental impact assessment.

Action 3 — Incentivizing low-carbon materials without mandating full substitution

Actor: Governments, public procurement agencies, construction industry

Purpose

Many climate policies frame innovation as full replacement of existing systems, which can push immature technologies into inappropriate roles. This project proposes incentives that reward partial reduction of concrete use, rather than total substitution.

Design

  • Governments and public builders offer incentives for reducing cement volume in non-structural applications.
  • Bio-based materials like alginate-mineral composites are evaluated on carbon reduction per volume displaced, not absolute strength.
  • This approach is analogous to how renewable energy was initially supported through partial grid integration rather than immediate full replacement.

Assumptions

  • That partial substitution can meaningfully reduce emissions at scale.
  • That industry actors will adopt materials based on incentives rather than purely on cost.

Risks of Failure & “Success”

  • Failure: Incentives may be too weak to change industry behavior.
  • Risk of success: Bio-based materials could be overused in contexts where they are not appropriate, creating durability or safety issues if governance does not clearly define application limits.
  1. Next, score (from 1-3 with, 1 as the best, or n/a) each of your governance actions against your rubric of policy goals. The following is one framework but feel free to make your own:
ANSWER 4 (click to expand)
Does the option:Option 1Option 2Option 3
Enhance Biosecurity
• By preventing incidents12n/a
• By helping respond21n/a
Foster Lab Safety
• By preventing incident12n/a
• By helping respond21n/a
Protect the environment
• By preventing incidents121
• By helping respond213
Other considerations
• Minimizing costs and burdens to stakeholders231
• Feasibility?121
• Not impede research221
• Promote constructive applications121

ChatGPT summary

Option 1 — Technical / Safe-by-design constraints

  • Strongest for prevention (biosecurity, lab safety, environment), because risks are reduced before deployment.
  • Slightly weaker for response, since it assumes prevention works.
  • Very feasible in academic contexts, but may place some constraints on exploratory research.

👉 Best for early-stage research governance.


Option 2 — Regulatory distinction (production vs deployment)

  • Strongest for response and oversight, since it clarifies who regulates what and when.
  • Less effective at prevention alone, because it acts after design choices are made.
  • Higher administrative burden and slower implementation.

👉 Best for transition from lab to real-world application.


Option 3 — Incentives for partial substitution

  • Not directly related to biosecurity or lab safety (hence n/a).
  • Very strong for environmental impact at scale and adoption.
  • Lowest burden on researchers and industry.
  • Risk lies in overuse or misapplication if not paired with technical standards.

👉 Best for scaling impact without forcing premature substitution.

  1. Last, drawing upon this scoring, describe which governance option, or combination of options, you would prioritize, and why. Outline any trade-offs you considered as well as assumptions and uncertainties.
ANSWER 5 (click to expand)

I would prioritize a combination of Option 1 and Option 3, with Option 2 applied later as a supporting layer.

Option 1 (safe-by-design technical governance) serves as the foundation, as it is most effective at preventing biosecurity, lab safety, and environmental risks during the research and prototyping stages. By embedding constraints directly into material design—such as using non-toxic polymers, calcium-based mineralization, and non-living final materials—risks are reduced early without slowing down academic innovation.

Option 3 (incentive-based scaling) complements this approach by enabling responsible adoption at scale. Rather than mandating full replacement of concrete, incentives that reward partial reductions in cement use encourage gradual uptake while minimizing misuse of immature materials and reducing stakeholder burden.

Option 2 (regulatory distinction) is important for later stages, when materials move toward commercialization. Applying it too early could add unnecessary complexity without significantly improving safety.

Key trade-offs considered

  • Prevention vs. flexibility:

    Safe-by-design constraints may limit certain experimental pathways, but this trade-off is acceptable given the large-scale environmental implications of construction materials.

  • Speed vs. oversight:

    Incentive-based scaling accelerates adoption but requires clear boundaries to prevent inappropriate use in high-risk structural contexts.

  • Clarity vs. bureaucracy:

    Regulatory distinction improves oversight but introduces administrative complexity, which is why it is better phased in later.

Assumptions and uncertainties

  • It is assumed that early design constraints meaningfully reduce downstream risk, though some risks may only become visible at larger scales.
  • It is assumed that partial substitution of concrete can deliver significant carbon reductions, which depends on adoption patterns and industry response.
  • There is uncertainty around how regulators will interpret bio-based materials, particularly in jurisdictions with limited experience regulating synthetic biology in construction contexts.
  1. Reflecting on what you learned and did in class this week, outline any ethical concerns that arose, especially any that were new to you. Then propose any governance actions you think might be appropriate to address those issues. This should be included on your class page for this week.
ANSWER 6 (click to expand)

One ethical concern that became particularly clear to me this week relates to scale. While bio-based materials such as alginate can be framed as sustainable alternatives to carbon-intensive materials like concrete, scaling such systems to a global level introduces new environmental questions rather than eliminating them entirely.

As I developed my project, I became more aware that large-scale algal production, if required to meaningfully impact global construction markets, could significantly alter marine ecosystems surrounding algal farms. Even if algae do not compete directly with agricultural land or freshwater resources, intensive marine cultivation could affect biodiversity, nutrient cycles, and local coastal environments.

To address this concern, appropriate governance actions would include requiring ecological impact assessments specific to marine environments, setting limits on monoculture density, and encouraging distributed, regionally adapted production rather than centralized mega-farms. In this way, governance would focus not only on reducing carbon emissions, but also on preventing new forms of environmental harm from emerging through scale-driven deployment of bio-based materials.

ASSIGNMENT - Week 2 Lecture Prep

ChatGPT usage

I used ChatGPT for all responses in this assignment, both to help explain the questions and specific terms with which I was not previously familiar, as well as to assist in formulating the answers. I used the provided lecture slides as the primary reference material and also submitted the complete questions to ChatGPT in order to receive explanations and clarification on points where I had doubts.

Homework Questions from Professor Jacobson:

1. Nature’s machinery for copying DNA is called polymerase. What is the error rate of polymerase? How does this compare to the length of the human genome. How does biology deal with that discrepancy?

1. ANSWER (click to expand)
  • error rate of polymerase = 1:106
  • length of the human genome = 3 × 10⁹ base pairs

Given that the human genome contains on the order of 3 × 10⁹ base pairs, absolute precision is impossible at this scale, and even a very low replication error rate remains biologically relevant.

Biology resolves this discrepancy by controlling the error rate—low enough to ensure stability, but high enough to allow evolution. This control is achieved through several mechanisms, such as proofreading during replication, post-replication repair systems, genetic redundancy (having two copies of each gene), and evolutionary tolerance to low levels of mutation.

2. How many different ways are there to code (DNA nucleotide code) for an average human protein? In practice what are some of the reasons that all of these different codes don’t work to code for the protein of interest?

2. ANSWER (click to expand)
  • The genetic code uses 64 possible codons to encode 20 amino acids.
  • An average human protein contains approximately 300 amino acids.

This implies that there are on the order of 64³⁰⁰ possible DNA sequences that could encode the same protein, since more than one codon can encode the same amino acid. However, despite this redundancy in the genetic code, there are significant biological constraints that prevent many of these sequences from functioning properly. Some of the main reasons include:

  1. Codon bias
    • Different organisms (and even different tissues) preferentially use certain codons.
    • The use of rare codons can significantly reduce translation efficiency.
  2. tRNA availability
    • Not all codons have the same abundance of corresponding tRNAs.
    • This affects the speed and success of translation.
  3. mRNA structure
    • Certain sequences can form secondary structures that hinder translation.
    • Some structures can block ribosome movement.
  4. Genetic regulation
    • DNA and mRNA sequences often contain embedded regulatory signals.
    • Changing codons can unintentionally create or disrupt important regulatory elements.
  5. Protein folding and translation timing
    • The rate of translation influences how a protein folds.
    • Altering codon usage can lead to misfolded proteins, even when the amino acid sequence is correct.

Homework Questions from Dr. LeProust:

1. What’s the most commonly used method for oligo synthesis currently?

1. ANSWER (click to expand)

The most commonly used method today is solid-phase phosphoramidite chemical synthesis.

In practical terms:

  • DNA is synthesized base by base in a sequential manner.
  • The growing strand is attached to a solid support.
  • Each cycle adds one nucleotide at a time (A, T, C, or G) using controlled chemical reactions.

2. Why is it difficult to make oligos longer than 200nt via direct synthesis?

2. ANSWER (click to expand)

This difficulty arises because errors accumulate at each step of the synthesis process. Each nucleotide addition cycle is not 100% efficient—typically achieving around 99–99.5% efficiency per base, which is already considered high. When this process is repeated hundreds of times, the fraction of perfectly synthesized molecules decreases exponentially. In addition, synthesis errors such as deletions, incorrect base incorporations, and premature terminations occur more frequently, making purification increasingly difficult as oligo length increases.

3. Why can’t you make a 2000bp gene via direct oligo synthesis?

2. ANSWER (click to expand)

A 2000 bp gene would require approximately 2000 sequential chemical synthesis cycles. Even with extremely high efficiency at each cycle, the probability of producing a completely correct full-length molecule would be close to zero.

As a result, the final product would consist of a large mixture of incorrect sequences, making it practically impossible to purify or use for downstream applications. For this reason, long genes cannot be synthesized directly using current chemical synthesis methods.

In practice, short oligonucleotides (approximately 60–200 nucleotides) are synthesized first and then assembled into longer DNA sequences. This assembly is typically achieved using PCR, recombination-based methods, or other enzymatic approaches. DNA synthesis today is modular, not monolithic.

Homework Question from George Church:

1. (Using Google & Prof. Church’s slide #4) What are the 10 essential amino acids in all animals and how does this affect your view of the “Lysine Contingency”?

1. ANSWER (click to expand)

Animals share a conserved set of ten essential amino acids, meaning these compounds cannot be synthesized internally and must be obtained from the environment or diet. These essential amino acids are histidine, isoleucine, leucine, lysine, methionine, phenylalanine, threonine, tryptophan, valine, and arginine. Although arginine is sometimes classified as semi-essential in adult humans, it is considered essential across animals in a broader biological context.

Knowing that all animals depend on this shared set of essential amino acids reframes the Lysine Contingency not as a unique or exceptional case, but as an example of a broader metabolic dependency. Lysine serves as a particularly clear illustration of how evolution has offloaded critical biosynthetic functions onto the environment, creating deep interdependencies that both constrain and shape life.