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Flashcards Listing

agricultural carbon credit

: a permit representing one metric tonne of carbon dioxide that is generated by quantifying and verifying the impact of nature-based methods in either avoiding carbon emissions or increasing the amount of carbon stored in the land.


inverse protein folding problem

: the computational challenge of determining the amino acid sequence that produces a desired protein structure

carbon farming

: farming practices that leverage nature-based methods to increase atmospheric carbon sequestration in plant biomass and soil and decrease greenhouse gas emissions.

Network Medicines™

: a new class of therapeutics that reprogram diseased cells to release a defined array of signals that precisely coordinate multicellular networks to drive disease resolution

Gene Writers™

: a genome engineering technology based on mobile genetic elements that consists of a protein and an RNA or DNA template to effect a therapeutic change

genetic chemistry

: the use of genetic code to discover the foundations of small molecule medicines

regenerative agriculture

: farm management practices that restore soil health, encourage biodiversity, safeguard water resources, and increase climate resilience while reducing greenhouse gas emissions and increasing productivity and profitability.

human microbiome

: the trillions of microorganisms, including bacteria, viruses, archaea, protozoa, and fungi, that are found within and on the human body

bioplatform

: biotechnologies that enable intentional and repeatable generation of medicines across many diseases or products for agriculture and sustainability

preemptive health and medicine

: protecting, maintaining, or improving people's health before they get sick by providing interventions targeted to pre-disease states for those that are seemingly healthy but at risk

programmable medicines

: therapeutic modalities based on biological building blocks that can be rationally designed and arranged to achieve a desired effect

reinforcement learning

: an artificial intelligence (AI) training technique based on trial and error that uses positive and negative feedback to teach the AI to perform a desired task in accordance with maximizing positive feedback