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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Pharmacogenomics: Identification of New Drug Targets01:29

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Related Experiment Video

Updated: Mar 28, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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A computational method for drug repositioning using publicly available gene expression data.

K M Shabana, K A Abdul Nazeer, Meeta Pradhan

    BMC Bioinformatics
    |December 19, 2015
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    Summary
    This summary is machine-generated.

    This study repurposed existing drugs for cancer treatment. Letrozole and GDC-0941 show promise for lung cancer, while Ribavirin may treat breast cancer.

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    Area of Science:

    • Computational biology
    • Genomics
    • Drug discovery

    Background:

    • Drug repositioning accelerates development, reduces costs, and shortens approval timelines.
    • High-throughput microarray technology enables comprehensive transcriptional profiling of diseases and drug responses.
    • Computational methods leverage public transcriptional data for drug repositioning.

    Purpose of the Study:

    • To identify existing drugs for repositioning against lung and breast cancer using data mining.
    • To analyze gene expression data to find novel therapeutic applications for known drugs.

    Main Methods:

    • Data mining of publicly available gene expression datasets.
    • Analysis of transcriptional responses associated with lung and breast cancer.
    • Identification of drug-disease associations based on gene expression patterns.

    Main Results:

    • Letrozole and GDC-0941 identified as potential treatments for lung cancer.
    • Ribavirin identified as a potential treatment for breast cancer.
    • Letrozole and GDC-0941 are existing breast cancer drugs; Ribavirin treats Hepatitis C.

    Conclusions:

    • The study successfully identified three drug candidates for repositioning against lung and breast cancer.
    • Computational analysis of gene expression data is a viable strategy for discovering new therapeutic uses for existing drugs.
    • Findings suggest potential new treatment avenues for lung and breast cancer patients.