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LikelyStructures SIGNED

Accounting for correlated errors with maximum likelihood in crystallography and cryo-EM

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 LikelyStructures project word cloud

Explore the words cloud of the LikelyStructures project. It provides you a very rough idea of what is the project "LikelyStructures" about.

noisy    sources    preparing    independent    statistical    career    statistics    calculations    yielded    algorithmic    samples    transferring    improvements    extract    homologous    revealing    entities    unknown    description    replacement    biology    model    ensembles    specialised    qualitative    phaser    central    thanks    cryo    leap    resolution    imperative    protein    reconstructions    broaden    models    link    em    first    extended    player    experimentally    full    mentoring    ray    acquired    decade    proper    hardware    integration    researcher    depends    deep    solving    macromolecular    generalising    3d    structural    personal    experimental    breakthrough    biological    bayesian    weak    multiple    molecular    decisively    collected    signal    phasing    data    error    bound    quantitative    intensities    maximum    phases    last    realm    technique    recorded    forefront    difficult    implements    structures    dramatic    expertise    structure    crystallography   

Project "LikelyStructures" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 183˙454.00

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 Project objective

Proper understanding of the biological processes related to complex macromolecular entities depends on the detailed description of their 3D structures. For 100 years X-Ray Crystallography has been the main player in revealing high resolution structures. In the last decade, Bayesian statistics has yielded a breakthrough for solving challenging structures thanks to the integration of specialised error models essential to extract a weak signal from noisy data. Developed on such statistical methods, the program PHASER implements (along with experimental phasing) the Molecular Replacement technique in which the unknown phases, associated with the experimentally recorded intensities, are estimated from a homologous protein structure. Exploiting a deep new understanding of the link between model, data and phasing success, this technique will be decisively extended by the analysis of multiple models collected into ensembles optimised for likelihood calculations. Recent dramatic improvements in cryo-EM hardware have brought it into the high resolution realm and it is bound to become the main structural technique for the kind of challenging structures at the forefront. The leap from qualitative into quantitative Cryo-EM has already involved algorithmic approaches based on Maximum Likelihood. Generalising its full potential requires new methods that will lead to higher resolution reconstructions. The proposed integration of all sources of error is imperative for difficult samples. In this project, advances in both X-ray crystallography and cryo-EM data-analysis methods are planned, focusing on transferring experience acquired over many years in the first field into the second. Central to this project, the personal development of the experienced researcher will broaden his field of expertise in structural biology through advanced statistics with the aim of preparing, mentoring and leading him to an independent future research career in the development of methods.

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The information about "LIKELYSTRUCTURES" are provided by the European Opendata Portal: CORDIS opendata.

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