New approach methodologies for drug discovery

Traditional animal-based drug discovery has high failure rates, prompting the search for and adoption of human-centered new approach methodologies (NAMs). Rapid advances in stem cell-, organoid-, and in silico-based NAMs, supported by evolving frameworks from the National Institutes of Health (NIH) and the Food and Drug Administration (FDA), now span the entire drug-discovery continuum, from disease modeling and drug design to efficacy testing. Our review highlights recent progress across these domains, including the identification of therapeutic candidates, the development of cutting-edge models and technologies, and the potential of NAMs themselves as treatments in preclinical and clinical contexts, while examining the key biological, technical, and regulatory bottlenecks that need to be addressed to enable robust translational adoption. We conclude by discussing the translational and societal considerations essential to the responsible adoption of NAMs and outlining future human-centric pipelines poised to redefine the landscape of drug discovery.

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Publication Details

Journal
Cell
Published
2026-04-01
DOI
https://doi.org/10.1016/j.cell.2026.02.012
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

New approach methodologies for drug discovery

Danilo A. Tagle, Paul Pang, Catherine A. Wu, Wenqiang Liu et al.
Cell
Computational Drug Discovery Methods
article

New approach methodologies for drug discovery

Danilo A. Tagle, Paul Pang, Catherine A. Wu, Wenqiang Liu, Joseph C. Wu
article en

Abstract

Traditional animal-based drug discovery has high failure rates, prompting the search for and adoption of human-centered new approach methodologies (NAMs). Rapid advances in stem cell-, organoid-, and in silico-based NAMs, supported by evolving frameworks from the National Institutes of Health (NIH) and the Food and Drug Administration (FDA), now span the entire drug-discovery continuum, from disease modeling and drug design to efficacy testing. Our review highlights recent progress across these domains, including the identification of therapeutic candidates, the development of cutting-edge models and technologies, and the potential of NAMs themselves as treatments in preclinical and clinical contexts, while examining the key biological, technical, and regulatory bottlenecks that need to be addressed to enable robust translational adoption. We conclude by discussing the translational and societal considerations essential to the responsible adoption of NAMs and outlining future human-centric pipelines poised to redefine the landscape of drug discovery.

CellVol. 189(7)
Cardiovascular Institute of the South (US), National Center for Advancing Translational Sciences (US), Stanford University (US)
U.S. Department of Defense, California Institute for Regenerative Medicine, American Heart Association, National Institutes of Health
Openalex Percentile: Top 32%
Computational Drug Discovery Methods
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New approach methodologies for drug discovery — Danilo A. Tagle, Paul Pang, et al. · Cell (2026) | TGRS Research Map | TGRS