Targeted Cancer Treatment in Silico (Record no. 370795)

000 -LEADER
fixed length control field 04939nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-1-4614-8301-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180115171531.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131115s2014 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461483014
-- 978-1-4614-8301-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-8301-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH323.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBW
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT003000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Komarova, Natalia L.
Relator term author.
245 10 - TITLE STATEMENT
Title Targeted Cancer Treatment in Silico
Medium [electronic resource] :
Remainder of title Small Molecule Inhibitors and Oncolytic Viruses /
Statement of responsibility, etc. by Natalia L. Komarova, Dominik Wodarz.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York :
-- Imprint: Birkhäuser,
Date of production, publication, distribution, manufacture, or copyright notice 2014.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 227 p. 71 illus., 26 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Modeling and Simulation in Science, Engineering and Technology,
International Standard Serial Number 2164-3679
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cancer research.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Oncology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Applied mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physiological, Cellular and Medical Topics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cancer Research.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical and Computational Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Oncology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetics and Population Dynamics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Applications of Mathematics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wodarz, Dominik.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781461483007
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Modeling and Simulation in Science, Engineering and Technology,
International Standard Serial Number 2164-3679
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-1-4614-8301-4">http://dx.doi.org/10.1007/978-1-4614-8301-4</a>
912 ## -
-- ZDB-2-SMA
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Date last seen Price effective from Koha item type
  Not Lost     EBook e-Library e-Library 2018-01-15 2018-01-15 2018-01-15 eBook

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