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Related Concept Videos

Midrange01:07

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A somewhat easy to compute quantitative estimate of a data set’s central tendency is its midrange, which is defined as the mean of the minimum and maximum values of an ordered data set.
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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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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Updated: Aug 20, 2025

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The next-generation Open Targets Platform: reimagined, redesigned, rebuilt.

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The Open Targets Platform has been rebuilt to improve drug target identification. Enhanced gene-disease data and new features for target safety and tractability aid researchers in drug discovery.

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Area of Science:

  • Genomics
  • Pharmacology
  • Bioinformatics

Background:

  • The Open Targets Platform is a key open-source resource for drug target identification and prioritization.
  • Previous versions facilitated systematic analysis of publicly available data.

Purpose of the Study:

  • To systematically update and enhance the Open Targets Platform for improved drug target identification and prioritization.
  • To streamline data integration, expand data exploration, and enhance user experience.

Main Methods:

  • Reimagined, redesigned, and rebuilt the Platform architecture.
  • Enhanced gene-disease causal evidence for rare, common, and somatic diseases.
  • Incorporated new features for target safety (genetic constraint) and tractability (PROTACtability, AlphaFold structures).
  • Introduced machine learning for knowledge extraction from literature, clinical trials, and drug labels.

Main Results:

  • Streamlined data integration and harmonization processes.
  • Expanded gene-disease causal evidence, improving disease causality assessment.
  • Added novel features for target safety and tractability analysis.
  • Implemented machine learning for enhanced knowledge extraction.
  • Introduced new technologies for easier feature integration and platform customization.

Conclusions:

  • The redesigned Open Targets Platform offers a more robust and user-friendly resource for drug discovery.
  • Enhanced data, new features, and improved infrastructure support systematic target identification and prioritization.
  • New machine learning applications and community support further empower researchers in diverse use cases.