It takes the average reader 1 hour and 48 minutes to read Insights from Molecular Simulations and Multi-Scale Mathematical Modeling of Biological Systems by Vincent Tyler Metzger
Assuming a reading speed of 250 words per minute. Learn more
The techniques of Molecular Dynamics (MD) as well as Accelerated MD (AMD) are established computational methods for investigating the motions of biomolecules that can be successfully applied to large systems to achieve enhanced conformational sampling. Chapter 1 also introduces Brownian dynamics simulations for studying the diffusional encounter of ions or small molecules with binding sites. Additionally, the use of coupled ordinary differential equations (ODEs) enables mathematical modeling of complex biological systems at a variety of scales. In Chapter 2, AMD simulations are applied to the transmembrane Sarcoplasmic Reticulum Ca2+ ATPase (SERCA), a calcium pump that utilizes energy from ATP hydrolysis to drive calcium ions across a concentration gradient. The enhanced conformational sampling achieved with AMD allows identification of collective motions that partition SERCA crystallographic structures into several catalytically unique states and also supports the role of Glu309 gating in Ca2+ binding. Brownian dynamics simulations demonstrate the important contribution of surface-exposed, polar residues in the diffusional encounter of Ca2+ with SERCA. In chapter 3, Brownian dynamics simulations as well as continuum models of the bifunctional Plasmodium falciparum dihydrofolate reductase-thymidylate synthase (P. falciparum DHFR-TS) are used to explore electrostatic-mediated substrate channeling. The results indicate that electrostatic-mediated channeling in this system is (~15% - 25%) at physiological pH and ionic strength and that removing the electric charges from key basic residues significantly reduces the electrostatic-mediated channeling efficiency of P. falciparum DHFR-TS. Subtle differences in structure, active-site geometry, and charge distribution in protozoan DHFR-TS enzymes appears to influence both electrostatic-mediated as well as proximity-mediated substrate channeling. In chapter 4, multi-scale mathematical models are used to study the dynamics of a hypothetical anti-HIV genetic therapy at the molecular, within-cell, within-host, and epidemiological scales. This multi-scale approach allows us to make predictions about ideal design parameters for a hypothetical anti-HIV genetic therapy. Our models show that a specific genetic therapy could autonomously target infectious superspreaders at the epidemiological scale, possibly lowering HIV/AIDS prevalence significantly. In chapter 5, insights into the systems detailed in the previous chapters are briefly discussed with an emphasis on the importance of both molecular simulations as well as multi-scale mathematical modeling.
Insights from Molecular Simulations and Multi-Scale Mathematical Modeling of Biological Systems by Vincent Tyler Metzger is 106 pages long, and a total of 27,136 words.
This makes it 36% the length of the average book. It also has 33% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 28 minutes to read Insights from Molecular Simulations and Multi-Scale Mathematical Modeling of Biological Systems aloud.
Insights from Molecular Simulations and Multi-Scale Mathematical Modeling of Biological Systems is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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