Imperial College London

ProfessorMichaelSternberg

Faculty of Natural SciencesDepartment of Life Sciences

Director Centre for Bioinformatics
 
 
 
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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{Greener:2017:10.1016/j.sbi.2017.10.002,
author = {Greener, JG and Sternberg, MJ},
doi = {10.1016/j.sbi.2017.10.002},
journal = {Curr Opin Struct Biol},
pages = {1--8},
title = {Structure-based prediction of protein allostery.},
url = {http://dx.doi.org/10.1016/j.sbi.2017.10.002},
volume = {50},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Allostery is the functional change at one site on a protein caused by a change at a distant site. In order for the benefits of allostery to be taken advantage of, both for basic understanding of proteins and to develop new classes of drugs, the structure-based prediction of allosteric binding sites, modulators and communication pathways is necessary. Here we review the recently emerging field of allosteric prediction, focusing mainly on computational methods. We also describe the search for cryptic binding pockets and attempts to design allostery into proteins. The development and adoption of such methods is essential or the long-preached potential of allostery will remain elusive.
AU - Greener,JG
AU - Sternberg,MJ
DO - 10.1016/j.sbi.2017.10.002
EP - 8
PY - 2017///
SP - 1
TI - Structure-based prediction of protein allostery.
T2 - Curr Opin Struct Biol
UR - http://dx.doi.org/10.1016/j.sbi.2017.10.002
UR - https://www.ncbi.nlm.nih.gov/pubmed/29080471
UR - http://hdl.handle.net/10044/1/51537
VL - 50
ER -