Natalia L. Komarova, Dominik Wodarz

Targeted Cancer Treatment in Silico

Small Molecule Inhibitors and Oncolytic Viruses

• Broschiertes Buch

Produktbeschreibung

Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, small molecule inhibitors, and oncolytic viruses. However, patterns of these treatments' effectiveness remain largely unclear, and a better understanding of how cancer therapies work has become a key research goal. Cancer Treatment in Silico provides the first in-depth study of approaching this understanding by modeling cancer treatments, both mathematically and through computer simulations.

The main goal of this book is to help expose students and researchers to in silico methods of studying cancer. It is intended for both the applied mathematics and experimental oncology communities, as mathematical models are playing an increasingly important role to supplement laboratory biology in the fight against cancer. Writtenat a level that generally requires little technical background, the work will be a valuable resource for scientists and students alike.

Produktdetails

• Modeling and Simulation in Science, Engineering and Technology
• Verlag: Birkhäuser / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4939-4249-7
• Softcover reprint of the original 1st ed. 2014
• Seitenzahl: 244
• Erscheinungstermin: 23. August 2016
• Englisch
• Abmessung: 235mm x 155mm x 14mm
• Gewicht: 387g
• ISBN-13: 9781493942497
• ISBN-10: 1493942492
• Artikelnr.: 45574378

Autorenporträt

Natalia Komarova and Dominik Wodarz are professors at University of California, Irvine.

Inhaltsangabe

Background and Scope of the Book.- Part I Treatment of Cancer with Small Molecule Inhibitors.- An Introduction to Small Molecule Inhibitors and Chronic Myeloid Leukemia.- Basic Dynamics of Chronic Myeloid Leukemia During Imatinib Treatment.- Stochastic Modeling of Cellular Growth, Treatment, and Resistance Generation.- Evolutionary Dynamics of Drug Resistant Mutants in Targeted Treatment of CML.- Effect of Cellular Quiescence on the Evolution of Drug Resistance in CML.- Combination Therapies: Short term versus Long term Strategies.- Cross Resistance: Treatment and Modeling.- Mathematical Modeling of Cyclic Cancer Treatments.- Part II Treatment of Cancer with Oncolytic Viruses.- Introduction to Oncolytic Viruses.- Basic Dynamics of Oncolytic Viruses.- Mitotic Virus Transmission and Immune Responses.- Axiomatic Approaches to Oncolytic Virus Modeling.- Spatial Oncolytic Virus Dynamics.- Oncolytic Viruses and the Eradication of Drug-resistant Tumor Cells.

Rezensionen

From the reviews:
"The intended audience includes advanced undergraduate and graduate students in applied mathematics as well as in the field of biology with a special interest in oncology. It could serve as a guide to scientists and researchers in the field of oncology and therapeutics. ... This is the first in-depth study of mathematical and computational approaches used to understand cancer therapies. The crisp language, well-structured chapters, and precise examples are the highlights of this book." (Parthiv Amin, Doody's Book Reviews, March, 2014)