Cuvillier Verlag

Publications, Dissertations, Habilitations & Brochures.
International Specialist Publishing House for Science and Economy

Cuvillier Verlag

De En Es
Physics-Based and Data-Driven Multiscale Modeling of the Structural Formation in Macromolecular Systems

Hard Copy
EUR 84.00

E-book
EUR 0.00

Download
PDF (85 MB)
Open Access CC BY 4.0

Physics-Based and Data-Driven Multiscale Modeling of the Structural Formation in Macromolecular Systems (Volume 25) (English shop)

Philipp Nicolas Depta (Author)

Preview

Extract, PDF (130 KB)
Table of Contents, PDF (51 KB)

In order to improve knowledge on macromolecular structural formation and self-assembly, this work proposes a physics-based and data-driven multiscale modeling framework capable of describing structural formation on micro-meter and milli-second scales near molecular-level precision. The framework abstracts macromolecules as anisotropic unit objects and models the interactions and environment using data-driven approaches. The models are parameterized in a bottom-up fashion and validated top-down by comparison with literature and collaborator data for self-assembly of three model system: alginate gelation, hepatitis B virus capsids, and the pyruvate dehydrogenase complex.

ISBN-13 (Hard Copy) 9783736979727
ISBN-13 (eBook) 9783736969728
Language English
Page Number 296
Lamination of Cover matt
Edition 1.
Book Series SPE-Schriftenreihe
Volume 25
Publication Place Göttingen
Place of Dissertation TU Hamburg
Publication Date 2024-02-27
General Categorization Dissertation
Departments Biochemistry, molecular biology, gene technology
Biophysics
Mechanical and process engineering
Keywords multiscale modeling, molecular modeling, Molecular Discrete Element Method, MDEM, Discrete Element Method, DEM, coarse-graining, Molecular Dynamics, MD, Langevin dynamics, machine learning, ML, supervised learning, Kriging, macromolecular self-assembly, structural formation simulation, anisotropic macromolecules, assembly pathways, assembly kinetics, molecular collisions, 6D intermolecular interaction potentials, specialized force-fields, molecular binding, bonded interaction, hepatitis B core antigen, HBcAg, capsid formation, virus-like particles, VLP, pyruvate dehydrogenase complex, PDC, alginate, alginic acid, biopolymer, gelation, gel, aerogel, porous nanomaterial, anisotropic diffusion, ion binding model, calcium, proteins, enzymes, multi-enzymatic biocatalysis, metabolic channeling, high performance computing, HLRS, GPU implementation, MUSEN