a public good project by the
Synthesis
Company
of California

© 2026

Machine learning for functional protein design | doi.page

0 citations0 references

Google Scholar doi.org

Machine learning for functional protein design

Nature Biotechnology·2024·Vol. 42(2), pp. 216–228

Citations Over TimeTop 1% of 2024 papers

Pascal Notin, Nathan Rollins, Yarin Gal, Chris Sander, Debora S. Marks

Related Papers

→ The imminent role of protein engineering in synthetic biology(2011)62 cited
→ Potential of Fragment Recombination for Rational Design of Proteins(2012)46 cited
→ Engineering the serpin α₁‐antitrypsin: A diversity of goals and techniques(2019)25 cited
→ Overcoming component limitations in synthetic biology through transposon-mediated protein engineering(2019)7 cited
→ Protein Structure Design and Engineering(2011)3 cited