357 citations
- Centre National de la Recherche ScientifiqueFR25 papers
- Laboratoire de Biochimie ThéoriqueFR23 papers
- Université Paris CitéFR8 papers
- Sorbonne Paris CitéFR7 papers
- Sorbonne UniversitéFR6 papers
- Université Paris DiderotFR6 papers
- Université Paris Sciences et LettresFR5 papers
- École Normale Supérieure - PSLFR2 papers
- Fondation de RothschildFR2 papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR2 papers
- Biologie du chloroplaste et perception de la lumière chez les micro-alguesFR1 paper
- Biologie du Chloroplaste et Perception de la Lumière chez les MicroalguesFR1 paper
28 papers
Light-induced phase separation with finite wavelength selection in photophobic micro-algae
Isabelle Eisenmann, Alfredo L'Homme, Aliénor Lahlou +5
As for many motile micro-algae, the freshwater species Chlamydomonas reinhardtii can detect light sources and adapt its motile behavior in response. Here, we show that suspensions…
High efficient cyclic electron flow and functional supercomplexes in Chlamydomonas cells
Pierre Joliot, Julien Sellés, Françis-André Wollman +1
A very high rate for cyclic electron flow (CEF) around PSI (~180 s-1 or 210 s-1 in minimum medium or in the presence of a carbon source respectively) is measured in the presence of…
Designing losses for data-free training of normalizing flows on Boltzmann distributions
Loris Felardos, Jérôme Hénin, Guillaume Charpiat
Generating a Boltzmann distribution in high dimension has recently been achieved with Normalizing Flows, which enable fast and exact computation of the generated density, and thus…
Explicit models of motions to understand protein side-chain dynamics
Nicolas Bolik-Coulon, Olivier Languin-Cattoën, Diego Carnevale +5
Nuclear magnetic relaxation is widely used to probe protein dynamics. For decades, most analyses of relaxation in proteins have relied successfully on the model-free approach, forg…
Enhanced sampling methods for molecular dynamics simulations
Jérôme Hénin, Tony Lelièvre, Michael R. Shirts +2
Enhanced sampling algorithms have emerged as powerful methods to extend the utility of molecular dynamics simulations and allow the sampling of larger portions of the configuration…
Human learning for molecular simulations: the Collective Variables Dashboard in VMD
Jérôme Hénin, Laura J. S. Lopes, Giacomo Fiorin
The Collective Variables Dashboard is a software tool for real-time, seamless exploration of molecular structures and trajectories in a customizable space of collective variables.…