High-throughput screening and small animal models, where are we?

Area of Science:

• Pharmacology and Toxicology
• Genetics and Genomics
• Developmental Biology

Background:

• Traditional high-throughput screening (HTS) for drug discovery relies on predefined molecular targets, often leading to invalid hits in later stages.
• The murine model (Mus musculus) is widely used but its high cost restricts its application in large-scale therapeutic screening.
• Limitations of target-based screening necessitate alternative approaches for identifying effective and safe drug candidates.

Purpose of the Study:

• To review the utility of alternative whole-animal models for large-scale drug discovery screening.
• To discuss the advantages of using C. elegans, Drosophila melanogaster, and Danio rerio as screening tools.
• To explore how these models bypass limitations of traditional HTS and target-dependent approaches.

Main Methods:

• Literature review of current high-throughput screening methodologies in drug discovery.
• Comparative analysis of different animal models for their suitability in large-scale screening.
• Evaluation of genetic amenability, cost-effectiveness, and culture conditions for screening applications.

Main Results:

• Caenorhabditis elegans, Drosophila melanogaster, and Danio rerio offer cost-effective, genetically tractable platforms for HTS.
• These models facilitate screening in a whole-animal context, identifying compounds with potential in vivo efficacy.
• Screening in these organisms is independent of prior target identification and aids in selecting compounds with better safety profiles.

Conclusions:

• Whole-animal screening using C. elegans, Drosophila, and zebrafish presents a versatile and efficient alternative to traditional drug discovery methods.
• These models enhance the identification of viable drug candidates by enabling early assessment of efficacy and safety.
• The adoption of these alternative models can accelerate therapeutic development and reduce costs in drug discovery pipelines.