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Flashcards Listing

carbon insetting

: nature-based sustainability initiatives upstream or downstream of a company’s operations that reduce greenhouse gas emissions and increase carbon storage, enhancing the carbon emissions reduction capacity of a supply chain

programmable medicines

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

biological crop protection

: products used to combat stressors and promote crop health, derived from or inspired by naturally occurring substances and organisms

scope 3 emissions

: greenhouse gas emissions from sources not owned or controlled by an organization, occurring upstream or downstream in its supply chain

human microbiome

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

nature-positive agriculture

: growing practices that protect, maintain, and enhance ecosystems

inverse protein folding problem

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

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

soil health

: the capacity of soil to function as a living ecosystem that sustains plants, animals, and people

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


generative biology

: the use of vast computational power to create biological designs with desired properties by inferring the principals of biology from large datasets

large language model

: a type of mathematical system, inspired by the network of neurons of the human brain, that finds statistical patterns in very large datasets to predict and generate the most probable content following an initial prompt