Advancing Cancer Treatment through AI-Driven Analysis of Drosophila Models
Jean-Emmanuel Clément
Hokkaido University, Institute for Chemical Reaction Design and Discovery, Sapporo Japan
Designing accurate and efficient molecular models with machine learning and experimental data
Cecilia Clementi (group member of)
Freie Universität Berlin, Dept. of Physics, Theoretical and Computational Biophysics, Berlin, Germany
Unveiling the Dynamics of protein Interactions in Living Cells: Insights from RICS, N&B, and 3D Orbital Tracking Techniques
Michelle Digman
University of California Irvine, UCI Samueli School of Engineering, Irvine, CA, USA
Physical Mathematics Gives Insights to Sequence-Conformation-Function Relation in IDPs
Kingshuk Ghosh,
University of Denver, Dept. of Physics and Astronomy, Denver, CO, USA
Influence of Point Mutations on PR65. Conformational Adaptability: Insights from Nanoaperture Optical Tweezer Experiments and Molecular Simulations
Reuven Gordon
University of Victoria, Nanoplasmonics Research Group, Victoria, Canada
Extreme Dynamics in a Highly Collapsed Disordered Protein
Hagen Hofmann
Weizman Institute of Science, Dept. of Chemical and Chemical Biology, Rehovot, Israël
Utilizing Multidimensional Fluorescence Correlation Analysis to Explore Fast Biomolecular Dynamics
Kunihiko Ishii
RIKEN, The institute of Physical and Chemical Research, Molecular Spectroscopy Laboratory, Saitama, Japan
Protein Dynamics and Mechanisms from Multiple Structures
Robert L. Jernigan
Iowa State University, Dept. of Biochemistry, Ames, IA, USA
Physiological origin of cytoplasmic fluidization
Suckjoon Jun
University of California San Diego, School of Biological Sciences, San Diego, CA, USA
Machine learning approaches for identifying dynamics and structure
Mikko Karttunen
Western University, Dept. of Physics & Astronomy and Dept. of Chemistry, London, Ontario, Canada
Fluorine NMR : a tool to investigate protein dynamics
Bruno Kieffer
Université de Strasbourg, Institut de génétique et de biologie moléculaire et cellulaire, Dept. Biologie structurale intégrative, Strasbourg, France
Reinforcement learning to accelerate Raman imaging and reaction discoveryTamiki Komatsuzaki
Hokkaido University, Institute for Chemical Reaction Design and Discovery, Sapporo, Japan
Quantification of spectral and spatial information dependent on different disease states in Raman images
Ryoya Kondo
Hokkaido University, Institute for Chemical Reaction Design and Discovery, Sapporo Japan
How protein conformation and conformational dynamics shape energy transport networks
David M. Leitner,
University of Nevada, Dpt. Of Chemistry, Reno, NV, USA
Single-molecule imaging of structure-mediated interactions in DNA and RNA molecules
Sabrina Leslie
The University of British Columbia, Dept. of Physics and Astronomy, Vancouver, Canada
To be announced
Gia Maisuradze
Cornell University, Dept. of Chemistry, Ithaca, NY, USA
Time arrow from single-molecule measurements
Dmitrii E Makarov
The University of Texas, Oden Institute, Center for Computational Molecular Sciences, Austin, TX, USA
Selective and Directional Transport through Biomimetic Nanopores
Fabien Montel
ENS Lyon, Laboratoire de Physique, Lyon, France
MoS2 Solid-State Nanopores as Single-Biomolecule Sensors
Adrien Nicolaï
Université de Bourgogne, UMR 6303 CNRS Laboratoire Interdisciplinaire Carnot de Bourgogne, Dpt. Nanosciences Dijon, France
How Allostery Regulates Signal Propagation Across Scales
Banu Ozkan,
Arizona State University, Center for Biological Physics, Tempe, AZ, USA
The Future of Bayesian and AI-based Methods for Biophysical Applications
Steve Pressé
Arizona State University, School of Molecular Sciences, Dept. of Physics, AZ, USA
Probing the Interactions Dynamics of Disordered Proteins with Single-Molecule Spectroscopy: From Disordered Complexes to Phase Separation
Ben Schuler
University of Zurich, Dept. of Biochemistry and Dept. of Physics, Zurich, Switzerland
Disordered and Misfolded Proteins from Molecular Simulations and Graph Theory
Patrick Senet
Université de Bourgogne, UMR 6023 CNRS Laboratoire Interdisciplinaire Carnot de Bourgogne, Dpt. Nanosciences, Dijon, France
Engineering Cadherin Mediated Cell-Cell Adhesion
Sanjeevi Sivasankar
University of California Davis, Dpt. of Biomedical Engineering, Davis, CA, USA
Proteome Dynamics at the cell death
Fabio Sterpone
Institut de Biologie Physico-Chimique, UPR 9080 CNRS Laboratoire de Biochimie Théorique, Paris, France
Single-molecule FRET and FCS Investigation of the Interaction between SARS-CoV2 N protein and RNA
Satoshi Takahashi
Tohoku University, Institute of Multidisciplinary Research for Advanced Materials, Sendai, Japan
Transient non-local Interactions in IDP Dynamics and Binding
Sara M. Vaiana
Arizona State University, Dept. of Physics, Tempe, AZ, USA
Voronoi Tessellation-Based Clustering Enables Rapid, Hyperparameter Free Point Pattern Analysis of Single Localizations in 3D
Rengasayee Veeraraghavan
The Ohio State University, Dept. of Biomedical Engineering, Columbus, OH, USA
Dynamics of Mechano-adaptation in the Flagellar Motors of Bacteria
Navish Wadhwa
Arizona State University, Center for Biological Physics and Dept. of Physics, AZ, USA
Deciphering Molecular Mechanisms for Protein Misfolding and Aggregation from Single-molecule Measurements
Michael Woodside
University of Alberta, Dept. of Physics, Institute of Virology and Center for Prions and Misfolding Diseases, Edmonton, AB, USA
Bayesian Learning of Langevin model from smFRET data using EM algorithm: application to transition path time analysis
Tomoaki Yagi
RIKEN, The institute of Physical and Chemical Research, Molecular Spectroscopy Laboratory, Saitama, Japan
