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Hidden states and currents in biological systems

Objective

The ability to infer information about hidden degrees of freedom from time series would revolutionize experiments on single molecules, mesoscale assemblies, and tissues, as well as financial and climate systems. Hidden dynamics are often essential, as they reflect the approaching of a critical transition or describe its mechanism, e.g. the folding of a protein or RNA, or an abrupt shift in climate. With the project proposed here I plan to push our quantitative understanding of experiments, ranging from single-molecule spectroscopy to observations of migrating cells and developing tissues, to a new level, by exploiting how the properties of a high-dimensional landscape and current imprint onto the time ordering of projected states along individual trajectories. I will introduce functionals of projected paths that are easily inferred from data, and analyze their statistics and measure concentration by combining the theory of functionals of stochastic paths, concentration inequalities, and semiclassical analysis, and apply these to single-molecule force spectroscopy and plasmon ruler experiments, cell tracking, and Molecular Dynamics simulations. A distinctive characteristic of the project is the focus on non-asymptotic measure concentration, i.e. on “occurs with high probability” results that will be addressed for the first time in the context of non-equilibrium physics. Providing a new framework for interpreting experiments—using the information readily encoded in the data but inaccessible to existing approaches—the project will generate new knowledge that will resolve the long-standing debate about intermediates in DNA, RNA and protein folding, controversies about non converging dynamics of folded proteins, and shed new light on the operation of nanomachines and self-assembly far from equilibrium, as well as cell movements during tissue regeneration. It will lead to a paradigm-shift in soft matter and biophysics and may reshape actuarial and climate science.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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-ERC - HORIZON ERC Grants

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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) ERC-2022-COG

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Host institution

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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.

€ 2 000 000,00
Address
HOFGARTENSTRASSE 8
80539 MUNCHEN
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Links
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.

€ 2 000 000,00

Beneficiaries (1)

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