Imperial College London
Alternate

ProfessorMichaelSternberg

Faculty of Natural Sciences, Department of Life Sciences

Director, Systems Biology and Bioinformatics Centre
 
 
 
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Contact

 

+44 (0)20 7594 5212m.sternberg Website

 
 
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Location

 

306Sir Ernst Chain BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{David:2021:10.1016/j.jmb.2021.167336,
author = {David, A and Islam, S and Tankhilevich, E and JE, Sternberg M},
doi = {10.1016/j.jmb.2021.167336},
journal = {Journal of Molecular Biology},
pages = {167336--167336},
title = {The AlphaFold database of protein structures: a biologist’s guide},
url = {http://dx.doi.org/10.1016/j.jmb.2021.167336},
volume = {434},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the still unsolved challenges of the AlphaFold models from the perspective of a biologist, who may not be an expert in structural biology.
AU  - David,A
AU  - Islam,S
AU  - Tankhilevich,E
AU  - JE,Sternberg M
DO  - 10.1016/j.jmb.2021.167336
EP  - 167336
PY  - 2021///
SN  - 0022-2836
SP  - 167336
TI  - The AlphaFold database of protein structures: a biologist’s guide
T2  - Journal of Molecular Biology
UR  - http://dx.doi.org/10.1016/j.jmb.2021.167336
UR  - https://www.sciencedirect.com/science/article/pii/S0022283621005738?via%3Dihub
UR  - http://hdl.handle.net/10044/1/92411
VL  - 434
ER  -
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