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Using AI to predict biochemistry for manufacturing and therapeutics
The next decade is going to see a biotech revolution fueled by three technologies: ability to read DNA (sequencing), ability to write DNA (synthesis), and computational systems that predict what DNA to read and write. With sequencing and synthesis being mainstream now [1], 20n provides the computational systems that predict DNA design for novel industrial biotech and health applications.\n\nAt 20n, we are taking a fresh look at turning biological data into information. We approach it as a big data learning problem, and bring to bear techniques from machine learning, distributed systems, AI planning, program synthesis, data mining, and natural language processing. With the support of DARPA [2], we are building a team of computer scientists, and bioengineers to look at biology in fundamentally new ways.\n\nOur current customers include industrial biotech firms that are leading the charge in transitioning us from traditional unsustainable means of manufacturing to sustainable biological processes leading to advanced fuels, materials, therapeutics, and flavors and fragrances. 20n’s technology helps them enter markets previously thought inaccessible for biology.\n\n[1] Sequencing DNA costs $4k/genome (http://www.genome.gov/sequencingcosts/) and is expected to go down to $1k/genome. Synthesizing DNA is at 20cents/bp, and is expected to go down to 0.1cents/bp.\n[2] DARPA in the past supported work that led to the internet, stealth planes, GPS, and even Douglas Engelbart’s mother-of-all-demos.
Batch
Winter 2015
Status
Inactive
Industry
Healthcare
Healthcare -> Industrial Bio
Location
San Francisco
US
Team size
2
Website
20n.comYC profile
View YC pageTags
External links
YC notes
Founders: Saurabh Srivastava, Chris Anderson