Molecular motors convert chemical energy (typically from ATP hydrolysis) to directed motion and mechanical work. Biomolecular motors are proteins able of converting chemical energy into mechanical motion and force. Because of their dimension, the many small parts that make up molecular motors must operate at energies only a few times greater than those of the thermal baths. The description of molecular motors must be stochastic in nature. Their actions are often described in terms of Brownian Ratchets mechanisms. In order to describe the principles used in their movement, we need to use...
Molecular motors convert chemical energy (typically from ATP hydrolysis) to directed motion and mechanical work. Biomolecular motors are proteins able...
This book highlights key findings generated during the past years from the main disciplines that constitute Physical Virology, from theoretical physics and simulations to material sciences and vaccines development to structural biology. Each chapter is written by world-class scientists from these areas and is a comprehensive review of where this field stands, as well as the future of Physical Virology. The diversity in the formal training of these scientists results in solving common problems using very distinct approaches, which can produce surprising findings. The multi- and...
This book highlights key findings generated during the past years from the main disciplines that constitute Physical Virology, from theoretica...
COVID-19 has brought us extensive research databases in the fields of biophysics, biology, and bioinformatics. To extract valuable structural bioinformatic information of SARS-CoV-2 structural and nonstructural proteins, it is necessary to work with large-scale datasets of molecular dynamics (MD) trajectories that need to be optimized.
This monograph serves as a comprehensive guide to optimization-based MD studies of the molecular structures of SARS-CoV-2 proteins and RNA. The book begins by performing local optimization, taking into account the three-body movement and optimizing the...
COVID-19 has brought us extensive research databases in the fields of biophysics, biology, and bioinformatics. To extract valuable structural bioin...
This book highlights key findings generated during the past years from the main disciplines that constitute Physical Virology, from theoretical physics and simulations to material sciences and vaccines development to structural biology. Each chapter is written by world-class scientists from these areas and is a comprehensive review of where this field stands, as well as the future of Physical Virology. The diversity in the formal training of these scientists results in solving common problems using very distinct approaches, which can produce surprising findings. The multi- and...
This book highlights key findings generated during the past years from the main disciplines that constitute Physical Virology, from theoretica...
COVID-19 has brought us extensive research databases in the fields of biophysics, biology, and bioinformatics. To extract valuable structural bioinformatic information of SARS-CoV-2 structural and nonstructural proteins, it is necessary to work with large-scale datasets of molecular dynamics (MD) trajectories that need to be optimized.
This monograph serves as a comprehensive guide to optimization-based MD studies of the molecular structures of SARS-CoV-2 proteins and RNA. The book begins by performing local optimization, taking into account the three-body movement and optimizing the...
COVID-19 has brought us extensive research databases in the fields of biophysics, biology, and bioinformatics. To extract valuable structural bioin...
In recent years, extensive research on stochastic processes such as neuron networks, molecular motors, dynamics models, anomalous diffusion, and disordered media has led to the development of various methods for applying the Classical and Quantum Smoluchowski Equation to these phenomena. This book focuses on presenting the solution to the Fokker-Planck equation using the Crank-Nicholson formalism. This method is particularly effective for handling systems with numerous interactions, requiring vector and matrix-oriented approaches suitable for implementation in Matlab. Among the topics...
In recent years, extensive research on stochastic processes such as neuron networks, molecular motors, dynamics models, anomalous diffusion, and di...
