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High-throughput Screening for Broad-spectrum Chemical Inhibitors of RNA Viruses
Published on: May 5, 2014
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High Throughput Screening for Drug Discovery and Virus Detection
Adetola Oke1, Deniz Sahin2, Xin Chen3
1Department of Electrical Engineering, Southern Illinois University, Edwardsville, USA.
Combinatorial Chemistry & High Throughput Screening
|August 12, 2021
Summary
Optimized scheduling for high throughput screening systems significantly reduces drug discovery and virus detection times. This new method cuts screening time by up to 91.67%, improving efficiency for critical health applications.
Area of Science:
- Biochemistry
- Computational Biology
- Operations Research
Background:
- High throughput screening (HTS) systems are crucial for automated biochemical analysis in drug discovery and virus detection.
- The emergence of SARS-CoV-2 highlighted inefficiencies in existing HTS testing methods.
- Current HTS scheduling approaches are suboptimal, impacting efficiency and cost.
Purpose of the Study:
- To minimize total screening (flow) time in HTS systems.
- To enhance the efficiency, throughput, and operational cost-effectiveness of HTS.
- To ensure consistent quality in drug screening and virus detection processes.
Main Methods:
- Development of innovative mixed-integer programming models for HTS scheduling.
- Integration of job-shop and cyclic scheduling principles.
- Experimental validation using a drug discovery enzymatic assay and SARS-CoV-2 detection.
Main Results:
- Achieved a reduction in screening time by up to 91.67%.
- Demonstrated efficient computation of optimal schedules for microplate screening.
- Successfully applied methods to both drug discovery and viral detection scenarios.
Conclusions:
- Optimal scheduling in HTS systems substantially reduces total flow time.
- Efficiently computed schedules aid in accelerating new drug discovery.
- The developed methods enhance virus detection capabilities through optimized HTS.
