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  4. Current Trends in Multidrug Optimization: An Alley of Future Successful Treatment of Complex Disorders
 
review article

Current Trends in Multidrug Optimization: An Alley of Future Successful Treatment of Complex Disorders

Weiss, Andrea  
•
Nowak-Sliwinska, Patrycja
2017
Slas Technology

The identification of effective and long-lasting cancer therapies still remains elusive, partially due to patient and tumor heterogeneity, acquired drug resistance, and single-drug dose-limiting toxicities. The use of drug combinations may help to overcome some limitations of current cancer therapies by challenging the robustness and redundancy of biological processes. However, effective drug combination optimization requires the careful consideration of numerous parameters. The complexity of this optimization problem is clearly nontrivial and likely requires the assistance of advanced heuristic optimization techniques. In the current review, we discuss the application of optimization techniques for the identification of optimal drug combinations. More specifically, we focus on the application of phenotype-based screening approaches in the field of cancer therapy. These methods are divided into three categories: (1) modeling methods, (2) model-free approaches based on biological search algorithms, and (3) merged approaches, particularly phenotypically driven network biology methods and computation network models relying on phenotypic data. In addition to a brief description of each approach, we include a critical discussion of the advantages and disadvantages of each method, with a strong focus on the limitations and considerations needed to successfully apply such methods in biological research.

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Type
review article
DOI
10.1177/2472630316682338
Web of Science ID

WOS:000401736700005

Author(s)
Weiss, Andrea  
Nowak-Sliwinska, Patrycja
Date Issued

2017

Publisher

Sage Publications Inc

Published in
Slas Technology
Volume

22

Issue

3

Start page

254

End page

275

Subjects

drug mixture optimization

•

drug-drug interactions

•

feedback system control

•

response surface

•

synergistic drug combinations

•

top-down approach

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ISIC  
Available on Infoscience
July 10, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/139061
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