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.

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

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.)

NarrowbandSSL (2019)

Development of Narrow Band Blue and Red Emitting Macromolecules for Solution-Processed Solid State Lighting Devices

Read More  

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More