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Fast and comprehensive structure identification in cryo-ET using deep learning and tomogram optimisation

Objective

Cryo-electron tomography (cryo-ET) revolutionises cellular structure visualisation, but extracting biological insights is often hindered by limitations of subtomogram averaging (STA). With AlphaFold2's recent breakthroughs in structure prediction, identifying known structures in their 3D cellular context is often more important than structure determination by STA. The TomoFind project aims to significantly improve our ability to identify biomolecular structures within tomographic reconstructions.

This goal will be pursued through three interconnected approaches: 1) Developing deep learning tools for rapid and comprehensive identification of known structures in tomograms; 2) Refining data acquisition parameters via mathematical modelling and computational optimisation; and 3) Enhancing reconstruction algorithms to fully leverage advancements from 1) and 2). This highly interdisciplinary project combines applied mathematics, machine learning, and structural biology, and close collaboration between computational and experimental groups ensures practical applicability and maximises chances of success.

TomoFind will advance cryo-ET analysis capabilities, enabling investigation of cellular structures and processes at unprecedented resolution and scale. The resulting open-source software will lead to high impact across structural and cell biology research communities.

The host institution's world-class technical expertise and state-of-the-art facilities provide an ideal environment for this project. This, combined with the applicant's interdisciplinary background spanning applied mathematics, data science, and computational imaging, forms a strong foundation, crucial for the success of TomoFind. The project will enhance the applicant's skills and network, boosting future prospects for prestigious European research positions. The host institute will also benefit from the project's outcomes, advancing its research capabilities in cryo-ET and structural biology.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNITED KINGDOM RESEARCH AND INNOVATION
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 260 347,92
Address
POLARIS HOUSE NORTH STAR AVENUE
SN2 1FL SWINDON
United Kingdom

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Region
South West (England) Gloucestershire, Wiltshire and Bristol/Bath area Swindon
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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