2024 | Inria Quadrant Program

EMINENCE : molEcular dynaMics In iNtErNal CoordinatEs

Frédéric Cazals - Inria

Site PIQ : Université Côte d'Azur
Durée et financement : 18 months - 273,1 k€
Catégorie ANR : biology health

            The goal of EMINENCE is to revisit the foundations of molecular dynamics, all the way to the accurate prediction of protein interactions. This goal hinges on novel algorithmic developments exploiting inverse problems and sampling techniques, and the ability to integrate them seamlessly within the Structural Bioinformatics Library. If successful, this project will contribute to opening a new era for the design of active biomolecules.

Quasi-particle self-consistent GW with ladder diagrams in Yambo

Corentin Morice - Université Paris Saclay

Site PIQ : Université Paris Saclay
Durée et financement : 48 months - 123,6 k€
Catégorie ANR : material and engineering sciences

            Density functional theory, the state-of-the-art technique to calculate properties of matter, has known issues with correlated systems and with excited states. A new self-consistent many-body perturbation theory, quasiparticle self-consistent GW with ladder diagrams, performs significantly better on both these fronts. In this project, we aim to make this technique widely available by speeding it up, using a fast implementation on GPUs, and a new multipole approximation.

Spiky

Pierre Yger - INSERM

Site PIQ : Université de Lille
Durée et financement : 24 months - 163,1 k€
Catégorie ANR : biology health
Lien web : Site

            SPIKY aims to develop a real-time spike sorting algorithm for analyzing neuronal activity recorded via high-density electrodes. It tackles the challenges of tissue-induced motion and the sheer volume of data to be processed in real time, thanks to a modular software architecture and adaptive clustering. Validated on rats during a decision-making task, the project promises advances for neuroscience and brain-machine interfaces.

Corpus Liberatum Linguae Graecae (CLLG)

Thibault Clérice - Inria

Site PIQ : Site de Paris
Durée et financement : 12 months - 205 k€
Catégorie ANR : human and social sciences

            The Corpus Liberatum Linguae Graecae (CLLG) aims to advance open-access corpora for Ancient Greek and improve image-to-XML OCR methodologies. CLLG will develop a scalable and efficient digitisation pipeline designed to produce a reusable, high-quality corpus fully compatible with existing scholarly resources. The project places particular emphasis on the automatic structural annotation of Ancient Greek texts, adhering to the rigorous standards and practices of Ancient Greek philology.

Harnessing Advanced Engineering and Genetic Manipulation in Drosophila Larvae for Modelling and Treating Neurodegenerative Diseases and Beyond

Jean-Baptiste Masson - Pasteur

Site PIQ : Université Paris Cité
Durée et financement : 24 months - 787 k€
Catégorie ANR : biology health

            Our project aims to introduce a new approach to drug discovery for neurological diseases by using Drosophila larvae as a model system. We propose testing tens of thousands of larvae simultaneously, utilizing advanced mathematical and technological approaches to detect behavioral and neural dynamics changes. This innovative strategy could speed up drug screening, link behavioral alterations to neural dynamics, and open new avenues for understanding and treating diseases beyond neuroscience.

SCALE-DNA: Surmonter les défis d’échelle : nouveaux modèles et algorithmes pour intégrer la molécule d’ADN dans les jumeaux numériques bactériens

Ivan Junier - CNRS

Site PIQ : Université Grenoble Alpes
Durée et financement : 48 months - 431 k€
Catégorie ANR : biology health

            A major challenge in systems biology is the creation of bacterial digital twins for applications in health and industry. This requires a predictive model of the properties of DNA, the physical support of genetic information and its transmission. However, current models and simulations are limited to small molecules or imprecise approaches. This project aims to develop new models and simulation tools to overcome these scaling limitations and fully integrate DNA into bacterial digital twins.

EMINENCE : molEcular dynaMics In iNtErNal CoordinatEs

Quasi-particle self-consistent GW with ladder diagrams in Yambo

Spiky

Corpus Liberatum Linguae Graecae (CLLG)

Harnessing Advanced Engineering and Genetic Manipulation in Drosophila Larvae for Modelling and Treating Neurodegenerative Diseases and Beyond

SCALE-DNA: Surmonter les défis d’échelle : nouveaux modèles et algorithmes pour intégrer la molécule d’ADN dans les jumeaux numériques bactériens

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