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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

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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.

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

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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