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Related Experiment Video

Updated: May 7, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

High-throughput methods for combinatorial drug discovery.

Xiaochen Sun1, Santiago Vilar, Nicholas P Tatonetti

  • 1Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA.

Science Translational Medicine
|October 4, 2013
PubMed
Summary
This summary is machine-generated.

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...

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Drug combination treatments offer improved efficacy and reduced side effects compared to single drugs. High-throughput data and computational methods advance combinatorial drug design (CDD) for a systems-based approach to medicine.

Area of Science:

  • Pharmacology and Bioinformatics
  • Systems Biology and Drug Discovery

Background:

  • Single-drug treatments can be limited by resistance and side effects.
  • Drug combination treatments offer a promising strategy to enhance therapeutic outcomes.
  • Targeting interacting or complementary pathways with multiple drugs is a nuanced approach.

Purpose of the Study:

  • To review the application of high-throughput biological measurements in combinatorial drug design (CDD).
  • To highlight computational methods essential for analyzing complex biological data in drug discovery.
  • To provide a comprehensive resource list for researchers in the field.

Main Methods:

  • Utilizing high-throughput biological measurements including genetics, transcriptomics, and chemogenetic interactions.
  • Employing advanced computational methods such as network analysis, integrative informatics, and dynamic molecular modeling.

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Cost-Efficient Transcriptomic-Based Drug Screening
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Last Updated: May 7, 2026

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
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High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

Cost-Efficient Transcriptomic-Based Drug Screening
06:40

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

  • Leveraging large-scale cellular data for a systems-level understanding of drug interactions.

    • Main Results:

    • Drug combination therapies demonstrate superior efficacy, reduced side effects, and lower toxicity.
    • State-of-the-art analytical methods have been successfully applied to advance CDD.
    • Publicly available data and methodological resources are cataloged for community use.

    Conclusions:

    • High-throughput technologies and computational approaches are revolutionizing combinatorial drug design.
    • A systems-based view of interacting genes and pathways is crucial for future drug discovery.
    • Next-generation technologies enable a paradigm shift towards personalized and effective combination therapies.