Gleb Kuznetsov (@glebkuz) 's Twitter Profile
Gleb Kuznetsov

@glebkuz

Co-Founder and CEO @ManifoldBio

ID: 18502969

linkhttp://glebkuznetsov.com calendar_today31-12-2008 09:03:33

450 Tweet

1,1K Followers

367 Following

Gleb Kuznetsov (@glebkuz) 's Twitter Profile Photo

There's no one way to build a company. The best you can do is get exposure to multiple methodologies and triangulate what's right for your vision. The Fifty Years energy, philosophy, and community is one I recommend adding to your arsenal if you have the opportunity.

Kenny Workman (@kenbwork) 's Twitter Profile Photo

ML models like Evo + AlphaFold are emerging to engineer molecules. It is sometimes unclear how to use these tools to build drugs. We trace a realistic design, build and test loop of virus capsids on LatchBio.

David K. Yang (@davidkmyang) 's Twitter Profile Photo

Brain delivery BBB-penetrating antibodies can dramatically improve protein drugs for the CNS, but we lack good shuttles especially for the newer BBB-transport targets. Manifold Bio combines ML with an in-vivo screen to identify new designs for next-gen brain shuttles

Brain delivery
BBB-penetrating antibodies can dramatically improve protein drugs for the CNS, but we lack good shuttles especially for the newer BBB-transport targets. Manifold Bio combines ML with an in-vivo screen to identify new designs for next-gen brain shuttles
Gleb Kuznetsov (@glebkuz) 's Twitter Profile Photo

From a scientist at Manifold Bio today who is integrating nanopore sequencing into our library protein engineering workflows: "We asked Oxford's product development people a few questions and they said no one has pushed their technology in that way before."

Gleb Kuznetsov (@glebkuz) 's Twitter Profile Photo

Anyone else attempting to reprogram over a decade of muscle memory with Superhuman changing the 'reply-all' keyboard shortcut from 'A' to 'enter' today?

Kenny Workman (@kenbwork) 's Twitter Profile Photo

Many new machine learning tools for protein engineering have popped up in the last year. In these early days, it might be unclear how to actually use them for real molecular design tasks in industry. We demonstrate how to engineer a cholesterol drug and plastic degrading

Many new machine learning tools for protein engineering have popped up in the last year.

In these early days, it might be unclear how to actually use them for real molecular design tasks in industry.

We demonstrate how to engineer a cholesterol drug and plastic degrading
Kenny Workman (@kenbwork) 's Twitter Profile Photo

To predict the future in biotech, study and understand the tools. Stories of new drugs, platforms, data generation strategies are usually stories of new measurement techniques. Progress in assay development has been breakneck this past year but masked by widespread industry

To predict the future in biotech, study and understand the tools. Stories of new drugs, platforms, data generation strategies are usually stories of new measurement techniques.

Progress in assay development has been breakneck this past year but masked by widespread industry
Gleb Kuznetsov (@glebkuz) 's Twitter Profile Photo

The same archetype is emerging in drug discovery among teams that can rapidly generate data. The same person can generate designs, rapidly grok new data integrated with historical data, and iterate on models, molecule designs, and follow-up experiment designs.

Gleb Kuznetsov (@glebkuz) 's Twitter Profile Photo

When you're trying to do something hard, you need the best people who are not afraid to find and develop even better people. A pleasure building a generational company alongside Alex Reis.