نتائج البحث - "QA297"

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Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation

المؤلفون: Magali Tournus, Marie Doumic, Miguel Escobedo, Wei-Feng Xue

المساهمون: Institut de Mathématiques de Marseille (I2M), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Universidad del Pais Vasco / Euskal Herriko Unibertsitatea [Espagne] (UPV/EHU), University of Kent [Canterbury], Modelling and Analysis for Medical and Biological Applications (MAMBA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), M.E. is supported by DGES Grant MTM2014-52347-C2-1-R and Basque Government Grant IT641-13.M. D. and M.T. were supported by the ERC Starting Grant SKIPPERAD (number 306321). W.-F.X. was supported by funding from Inria, and Biotechnology and Biological Sciences Research Council (BBSRC)UK grants BB/J008001/1 and BB/S003312/1., Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), European Commission

المصدر: PLoS Computational Biology
PLoS Computational Biology, 2021, 17 (9), pp.e1008964. ⟨10.1371/journal.pcbi.1008964⟩
Addi. Archivo Digital para la Docencia y la Investigación
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PLoS Computational Biology, Vol 17, Iss 9, p e1008964 (2021)

مصطلحات موضوعية: Kernel Functions, Amyloid Fibrils, [SDV]Life Sciences [q-bio], Biochemistry, 01 natural sciences, Time Measurement, 010104 statistics & probability, Biopolymers, QA297, Cell Cycle and Cell Division, Biology (General), QA377, Operator Theory, QA, Biological sciences, Cytoskeleton, [PHYS]Physics [physics], Measurement, Quantitative Biology::Biomolecules, Ecology, biology, Simulation and Modeling, Monomers, 010101 applied mathematics, Chemistry, Computational Theory and Mathematics, Cell Processes, Modeling and Simulation, Physical Sciences, Engineering and Technology, Research Article, Amyloid, QH301-705.5, Prions, biomedicine, Inverse problem approach, Library science, Research and Analysis Methods, polymeric protein filaments, Cellular and Molecular Neuroscience, Amyloid assembly, Long-time dynamics, Genetics, 0101 mathematics, pure fragmentation, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Numerical experiments, breakage, Fragmentation Models, Biology and Life Sciences, Proteins, Cell Biology, Models, Theoretical, stability, Polymer Chemistry, Probability Theory, Probability Distribution, Self-similar behaviour, Research council, Amyloid Proteins, Mathematics