Evidence map›Paper›PMID 37432607›Full record

ArticleGeroScience2023

The million-molecule challenge: a moonshot project to rapidly advance longevity intervention discovery.

Mitchell B Lee, Benjamin Blue, Michael Muir, Matt Kaeberlein

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Automating the practice of science: Opportunities, challenges, and implications.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Review
  7. Characterization of Effects of mTOR Inhibitors on Aging in Caenorhabditis elegans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Mitchell B LeeOra Biomedical, Inc., 12101 Tukwila International Blvd Suite 210, Seattle, WA, 98168, USA. mitchell@orabiomedical.com.ORCID 0000-0003-2830-4893
Benjamin BlueOra Biomedical, Inc., 12101 Tukwila International Blvd Suite 210, Seattle, WA, 98168, USA.
Michael MuirOra Biomedical, Inc., 12101 Tukwila International Blvd Suite 210, Seattle, WA, 98168, USA.
Matt KaeberleinOra Biomedical, Inc., 12101 Tukwila International Blvd Suite 210, Seattle, WA, 98168, USA.
DJO Global (United States) · USVeroscience (United States) · US

Funding

Neurobehavior, Neuropathology, and Risk Factors in Alzheimer's DiseaseT32AG052354 · NIA · UNIVERSITY OF WASHINGTON · PI Brian C. Kraemer, ELAINE R. PESKIND · 2016 to 2026
$6.7M
NIA NIH HHS T32 AG052354
6 · The paper itself

Abstract

Targeting aging is the future of twenty-first century preventative medicine. Small molecule interventions that promote healthy longevity are known, but few are well-developed and discovery of novel, robust interventions has stagnated. To accelerate longevity intervention discovery and development, high-throughput systems are needed that can perform unbiased drug screening and directly measure lifespan and healthspan metrics in whole animals. C. elegans is a powerful model system for this type of drug discovery. Combined with automated data capture and analysis technologies, truly high-throughput longevity drug discovery is possible. In this perspective, we propose the "million-molecule challenge", an effort to quantitatively assess 1,000,000 interventions for longevity within five years. The WormBot-AI, our best-in-class robotics and AI data analysis platform, provides a tool to achieve the million-molecule challenge for pennies per animal tested.

Indexed as

LongevityRoboticsAgingAnimalsCaenorhabditis elegansC. elegansDrug discoveryHigh-throughput screeningMachine learning

Identifiers

PMID37432607
PMCPMC10643437
OpenAlexW4383872640

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.