A Diverse Stochastic Search Algorithm for Combination Therapeutics
Joint Authors
Caglar, Mehmet Umut
Pal, Ranadip
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Background.
Design of drug combination cocktails to maximize sensitivity for individual patients presents a challenge in terms of minimizing the number of experiments to attain the desired objective.
The enormous number of possible drug combinations constrains exhaustive experimentation approaches, and personal variations in genetic diseases restrict the use of prior knowledge in optimization.
Results.
We present a stochastic search algorithm that consisted of a parallel experimentation phase followed by a combination of focused and diversified sequential search.
We evaluated our approach on seven synthetic examples; four of them were evaluated twice with different parameters, and two biological examples of bacterial and lung cancer cell inhibition response to combination drugs.
The performance of our approach as compared to recently proposed adaptive reference update approach was superior for all the examples considered, achieving an average of 45% reduction in the number of experimental iterations.
Conclusions.
As the results illustrate, the proposed diverse stochastic search algorithm can produce optimized combinations in relatively smaller number of iterative steps.
This approach can be combined with available knowledge on the genetic makeup of the patient to design optimal selection of drug cocktails.
American Psychological Association (APA)
Caglar, Mehmet Umut& Pal, Ranadip. 2014. A Diverse Stochastic Search Algorithm for Combination Therapeutics. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-505195
Modern Language Association (MLA)
Caglar, Mehmet Umut& Pal, Ranadip. A Diverse Stochastic Search Algorithm for Combination Therapeutics. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-505195
American Medical Association (AMA)
Caglar, Mehmet Umut& Pal, Ranadip. A Diverse Stochastic Search Algorithm for Combination Therapeutics. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-505195
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505195