Skip to content

Recent achievements in 3D protein structure prediction by the CasProt researcher

0minút, 58sekúnd

Google Deep Mind achieved astonishing progress in the accuracy of 3D prediction of protein structure during the CASP(Critical Assessment of protein Structure Prediction) competition. Dr. Zoldak presented recent papers on 3D structure prediction and discussed advances and limitations of machine learning models from the perspective of an experimental scientist. Papers were published in the highly prestigious journal Nature. 

Related publications:

Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L, Green T, Qin C, Žídek A, Nelson AWR, Bridgland A, Penedones H, Petersen S, Simonyan K, Crossan S, Kohli P, Jones DT, Silver D, Kavukcuoglu K, Hassabis D. Improved protein structure prediction using potentials from deep learning. Nature. 2020 Jan;577(7792):706-710.

Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, Bridgland A, Meyer C, Kohl SAA, Ballard AJ, Cowie A, Romera-Paredes B, Nikolov S, Jain R, Adler J, Back T, Petersen S, Reiman D, Clancy E, Zielinski M, Steinegger M, Pacholska M, Berghammer T, Bodenstein S, Silver D, Vinyals O, Senior AW, Kavukcuoglu K, Kohli P, Hassabis D. Highly accurate protein structure prediction with AlphaFold. Nature. 2021 Aug;596(7873):583-589. doi: 10.1038/s41586-021-03819-2. 



Study at UPJŠ