Opendata, web and dolomites

LikelyStructures SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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

Map

 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "LIKELYSTRUCTURES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

CHES (2020)

Resilience of Coastal Human-Environment Systems

Read More  

TheaTheor (2018)

Theorizing the Production of 'Comedia Nueva': The Process of Play Configuration in Spanish Golden Age Theater

Read More  

ICL CHROM (2020)

DNA interstrand crosslink repair and chromatin remodelling

Read More