AI-based structure prediction empowers integrative structural analysis of human nuclear pores
By S. Mosalaganti, A. Obarska-Kosińska, M. Siggel, R. Taniguchi, Beata Turoňová, C. Zimmerli, K. Buczak, Florian H. Schmidt, Erica Margiotta, Marie‐Therese Mackmull and 4 more. 2022
270 citations recorded by the source corpus.
Subfields: Molecular Biology, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Thomas Mulvaney
- J. Beton
- Pushmeet Kohli
- Maya Topf
- Alexander Pritzel
- Tristan Cragnolini
- Manaz Kaleel
- Aaron Sweeney
In Computational Biology & Bioinformatics
- Pushmeet Kohli
- J. Beton
- Maya Topf
- Tristan Cragnolini
- Thomas Mulvaney
- Manaz Kaleel
- Aaron Sweeney
- Kathryn Tunyasuvunakool
Citations in the corpus
- Accurate structure prediction of biomolecular interactions with AlphaFold 3 (2024, background): “Accurate models of biological complexes are critical to our understanding of cellular functions and for the rational design of therapeutics 2–4 , 9 .”
- Integrating model simulation tools and cryo‐electron microscopy (2022, methodology): “134”