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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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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
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Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Recent advances in phenotypic drug discovery.

David C Swinney1, Jonathan A Lee2

  • 1DCSwinney consulting, Belmont, California, USA.

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|August 28, 2020
PubMed
Summary

Phenotypic drug discovery (PDD) offers a path to first-in-class medicines by identifying novel drug mechanisms. Advances in PDD implementation, including AI, address challenges in balancing innovation with investment return.

Keywords:
PDDPhenotypic drug discoveryTDDTargetempiricalfirst in class

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Area of Science:

  • Drug discovery and development
  • Medicinal chemistry
  • Pharmacology

Background:

  • Innovative medicines are crucial for unmet medical needs, but traditional drug discovery is inefficient.
  • Phenotypic drug discovery (PDD) has re-emerged as a strategy for identifying first-in-class therapeutics.
  • PDD enables the discovery of drugs with novel mechanisms of action.

Purpose of the Study:

  • To review recent advances in the implementation and de-risking of phenotypic drug discovery.
  • To explore the potential of artificial intelligence in PDD.
  • To address the challenges in balancing PDD's innovative potential with investment metrics.

Main Methods:

  • Review of recent literature on phenotypic drug discovery advancements.
  • Discussion of PDD implementation strategies, including compound library selection, biomarker development, mechanism identification, and safety studies.
  • Exploration of artificial intelligence applications in PDD.

Main Results:

  • Phenotypic drug discovery has demonstrated significant value, leading to breakthrough medicines.
  • Recent advances facilitate the implementation and de-risking of PDD.
  • Artificial intelligence holds potential for enhancing PDD processes.
  • A key challenge remains balancing the pursuit of novel mechanisms with the need for defined scientific pathways and ROI metrics.

Conclusions:

  • Phenotypic drug discovery is a valuable strategy for developing innovative medicines with novel mechanisms.
  • Further advancements in PDD implementation, AI integration, and precompetitive research are needed.
  • Empowering precompetitive research using PDD principles can help identify new drug mechanisms and compounds, addressing knowledge gaps and optimizing drug development.