Coverart for item
The Resource Targeted Cancer Treatment in Silico : Small Molecule Inhibitors and Oncolytic Viruses, by Natalia L. Komarova, Dominik Wodarz, (electronic resource)

Targeted Cancer Treatment in Silico : Small Molecule Inhibitors and Oncolytic Viruses, by Natalia L. Komarova, Dominik Wodarz, (electronic resource)

Label
Targeted Cancer Treatment in Silico : Small Molecule Inhibitors and Oncolytic Viruses
Title
Targeted Cancer Treatment in Silico
Title remainder
Small Molecule Inhibitors and Oncolytic Viruses
Statement of responsibility
by Natalia L. Komarova, Dominik Wodarz
Creator
Contributor
Author
Subject
Language
eng
Summary
This monograph provides the first in-depth study of how mathematical and computational approaches can be used to advance our understanding of cancer therapies and to improve treatment design and outcome. Over the past century, the search for a cancer cure has been a primary occupation of medical researchers. So far, it has led to a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, and most recently, small molecule inhibitors and oncolytic viruses. Each treatment tends to have a certain effectiveness in a specific class of patients, but it is often unclear what exactly causes it to succeed or fail. Recent technological advances have given rise to an ever increasing pool of data and information that highlight the complexity underlying the cancers and their response to treatment. Next to experimental and clinical research, mathematical and computational approaches are becoming an indispensible tool to understand this complexity. Targeted Cancer Treatment in Silico is organized into two parts, corresponding to two types of targeted cancer treatment: small molecule inhibitors and oncolytic viruses. In each part, the authors provide a brief overview of the treatment's biological basis and present the mathematical methods most suitable for modeling it. Additionally, they discuss how these methods can be applied to answer relevant questions about treatment mechanisms and propose modifications to treatment approaches that may potentially increase success rates. The book is intended for both the applied mathematics and experimental oncology communities, as mathematical models are becoming an increasingly important supplement to laboratory biology in the fight against cancer. Written at a level that generally requires little technical background, it will be a valuable resource for scientists and graduate students alike, and can also serve as an upper-division undergraduate or graduate textbook
Member of
Cataloging source
IT-FiEUI
http://library.link/vocab/creatorName
Komarova, Natalia L
Image bit depth
0
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Wodarz, Dominik.
  • SpringerLink (Online service)
Series statement
  • Modeling and Simulation in Science, Engineering and Technology,
  • Springer eBooks
http://library.link/vocab/subjectName
  • Mathematics
  • Oncology
  • Genetics
  • Physiology
Label
Targeted Cancer Treatment in Silico : Small Molecule Inhibitors and Oncolytic Viruses, by Natalia L. Komarova, Dominik Wodarz, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4614-8301-4
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
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
Control code
978-1-4614-8301-4
Dimensions
unknown
Extent
XV, 227 pages 71 illustrations, 26 illustrations in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781461483014
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other control number
10.1007/978-1-4614-8301-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1058816253
Label
Targeted Cancer Treatment in Silico : Small Molecule Inhibitors and Oncolytic Viruses, by Natalia L. Komarova, Dominik Wodarz, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4614-8301-4
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
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
Control code
978-1-4614-8301-4
Dimensions
unknown
Extent
XV, 227 pages 71 illustrations, 26 illustrations in color.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781461483014
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other control number
10.1007/978-1-4614-8301-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1058816253

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