Efficient and accurate prediction of protein structure using RoseTTAFold2

By Minkyung Baek, Ivan V. Anishchenko, Ian R. Humphreys, Qian Cong, David Baker, Frank DiMaio. 2023

132 citations recorded by the source corpus.

Subfields: Materials Chemistry, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. Minkyung Baek
2. Ivan V. Anishchenko
3. A. Kang
4. Frank DiMaio
5. David Baker
6. Sergey Ovchinnikov
7. Hahnbeom Park
8. David E. Kim

In Molecular Biology

1. Minkyung Baek
2. Ivan V. Anishchenko
3. Frank DiMaio
4. A. Kang
5. Jue Wang
6. Ryan McHugh
7. A. Bera
8. David Baker

Citations in the corpus

• Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom (2023, methodology): “To increase prediction accuracy on biological polymers, we train the network on protein monomer, protein complex, and protein-nucleic acid complex examples as previously described(10, 11).”