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Related Concept Videos

Drug Discovery: Overview01:26

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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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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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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Targets for Drug Action: Overview01:26

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Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
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Related Experiment Video

Updated: Mar 28, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Leveraging big data to transform target selection and drug discovery.

B Chen1, A J Butte1

  • 1Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA.

Clinical Pharmacology and Therapeutics
|December 15, 2015
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Summary

Big data analytics, fueled by genomics and high-throughput technologies, are revolutionizing drug discovery. This approach accelerates the identification of new drug targets, indications, and biomarkers for precision medicine.

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Area of Science:

  • Genomics and Bioinformatics
  • Computational Drug Discovery
  • Biomedical Data Science

Background:

  • Advances in genomics, sequencing, and high-throughput technologies generate vast, diverse datasets crucial for drug discovery.
  • Open data initiatives have significantly expanded the availability of public research data, enabling broader analysis.
  • Big data applications are increasingly successful across the entire drug discovery pipeline.

Purpose of the Study:

  • To review the current state of leveraging big data in drug discovery.
  • To highlight the application of big data for identifying novel drug targets.
  • To showcase the use of big data in discovering new drug indications and response biomarkers within precision medicine.

Main Methods:

  • Review of recent literature and case studies on big data applications in drug discovery.
  • Analysis of trends in genomics, sequencing, and high-throughput data utilization.
  • Synthesis of findings related to precision medicine approaches.

Main Results:

  • Big data analytics are transforming the understanding of diseases and the discovery of new therapeutics.
  • Successful integration of big data has been observed across multiple stages of the drug discovery pipeline.
  • Identification of new targets, drug indications, and predictive biomarkers is enhanced by big data.

Conclusions:

  • Big data represents a paradigm shift in modern drug discovery and development.
  • Leveraging large-scale datasets is essential for advancing precision medicine.
  • The continued growth of data and analytical techniques promises further acceleration in therapeutic innovation.