Evidence map›Paper›PMID 42677575›Full record

ArticleJournal of the American Chemical Society2026

A Direct-to-Biology Amine-Acid Amination for Rapid Phenotypic Profiling of Lysosomotropic Natural Products.

Yu-Ting Kao, Mohamed Abdelalim, Carl Mauro, James L Douthwaite, Andrew McGrath, Sophia R Meyer, Santanu Singha, Diana Flores Diaz, Mi Wang, Shaomeng Wang and 2 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yu-Ting KaoDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0001-5804-2471
Mohamed AbdelalimDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.
Carl MauroDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0009-0008-5714-0895
James L DouthwaiteDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0002-4478-9010
Andrew McGrathDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0001-9275-0017
Sophia R MeyerDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.
Santanu SinghaDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.
Diana Flores DiazDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan48109, United States.
Mi WangDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan48109, United States.
Shaomeng WangDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0002-8782-6950
Jonathan Z SextonDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.
Tim CernakDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0001-5407-0643

Funding

New Amine-Acid Couplings and Their Impact on Medicinal PropertiesR01GM144471 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CERNAK, TIMOTHY · 2022 to 2025
$1.6M
Laser-based high content imaging microscopeS10OD034245 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEXTON, JONATHAN ZACHARY · 2024 to 2024
$1.4M
National Defense Medical Center NANIGMS NIH HHS R01 GM144471NIH HHS R01GM144471NIH HHS S10 OD034245NIH HHS S10OD034245Schmidt Futures NA
6 · The paper itself

Abstract

Natural products (NPs) are foundational to drug discovery, owing to their diverse molecular scaffolds and novel bioactivities. However, optimizing NPs for optimal bioactivity and improved drug properties is hindered by material scarcity and labor-intensive purification processes. Here, we present an automated ultrahigh-throughput experimentation (ultraHTE) and direct-to-biology (D2B) platform that enables rapid structure-activity relationship (SAR) mapping from miniaturized libraries of synthetic NP analogues, unlocking NPs as a viable starting point for late-stage diversification in drug-lead optimization. Starting from leelamine, a conifer resin-derived tricyclic diterpene with prostate cancer antiproliferative activity, we synthesized leelamine analogues in a 1536-well format, achieving a 73% success rate while consuming only 0.03 mg of NP per reaction. Key to success was the development of a platinum-catalyzed amine-acid reductive amination reaction, which performed well on both amine and complementary acid-derived NPs, in a so-called Janus strategy which more than doubled the accessible chemical space. Direct phenotypic screening in LNCaP cells enabled rapid identification of potent, cell-permeable analogues with robust quality control achieved through iterative resynthesis on preparative scale. SAR insights revealed two key substitution patterns driving potency based on 4-methoxyphenyl and 3-indolyl derivatives. Mechanistic studies─including androgen receptor binding, chemoproteomics, and a lysosomal cholesterol colocalization assay─demonstrated distinct modes of action for optimized analogues compared to leelamine. Collectively, this amine-acid amination-based D2B platform showcases accelerated SAR elucidation from minimal material and cellular profiling, unlocking a framework for mechanism-driven lead discovery in NP chemical space.

Indexed as

AminesBiological ProductsAminationCell ProliferationHumansPhenotypeStructure-Activity RelationshipAminesBiological Products

Identifiers

PMID42677575
PMCPMC13680044

What OpenQuestion holds

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Registered trials

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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.