AlphaFold2 examples from CASP 14: Difference between revisions
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<span class="text-red">'''This page is under construction.''' [[User:Eric Martz|Eric Martz]] 01:03, 22 February 2021 (UTC)</span> | <span class="text-red">'''This page is under construction.''' [[User:Eric Martz|Eric Martz]] 01:03, 22 February 2021 (UTC)</span> | ||
Prediction of protein structures from amino acid sequences, [[theoretical modeling]], has been extremely challenging. In 2020, breakthrough success was achieved by AlphaFold2<ref name="af2">PMID:31942072<ref>, a project of [http://deepmind.com DeepMind]. For an overview of this breakthrough, verified by the bi-annual prediction competition [[Theoretical_models#CASP|CASP]], please see [[Theoretical_models#2020:_CASP_14|2020: CASP 14]]. Below are illustrated some examples of predictions from that competition. | Prediction of protein structures from amino acid sequences, [[theoretical modeling]], has been extremely challenging. In 2020, breakthrough success was achieved by AlphaFold2<ref name="af2">PMID:31942072</ref>, a project of [http://deepmind.com DeepMind]. For an overview of this breakthrough, verified by the bi-annual prediction competition [[Theoretical_models#CASP|CASP]], please see [[Theoretical_models#2020:_CASP_14|2020: CASP 14]]. Below are illustrated some examples of predictions from that competition. | ||
==References== | ==References== | ||
<references /> | <references /> | ||
Revision as of 01:32, 23 February 2021
This page is under construction. Eric Martz 01:03, 22 February 2021 (UTC)
Prediction of protein structures from amino acid sequences, theoretical modeling, has been extremely challenging. In 2020, breakthrough success was achieved by AlphaFold2[1], a project of DeepMind. For an overview of this breakthrough, verified by the bi-annual prediction competition CASP, please see 2020: CASP 14. Below are illustrated some examples of predictions from that competition.
ReferencesReferences
- ↑ Senior AW, Evans R, Jumper J, Kirkpatrick J, Sifre L, Green T, Qin C, Zidek 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. doi: 10.1038/s41586-019-1923-7. Epub 2020 Jan, 15. PMID:31942072 doi:http://dx.doi.org/10.1038/s41586-019-1923-7