Evidence map›Paper›PMID 42807973›Full record

ArticleRSC advances2026

Lipid tail length dictates membrane disruption by carmofur analogs and reveals noncanonical modes of action.

Chancie Chou, Arin Kasliwal, Lavernie Chen, Kathleen Hsu, Aarav Anand, Uday Srivastava, Sanika Vaidya, Felicia Leung, Eileen Yuyama, Ieva Chepurna and 14 more

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

24 authors.

Chancie ChouDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Arin KasliwalDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Lavernie ChenDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Kathleen HsuDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Aarav AnandDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Uday SrivastavaDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Sanika VaidyaDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Felicia LeungDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Eileen YuyamaDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Ieva ChepurnaDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Mansha GuptaDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Lucas QuanDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Nolan TsaiDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Kayla HuangDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Olivia KwokDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Jenny ZhangDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Audrey TsengDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Viet-Tran Gemma DoDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Evelyn DuDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Tapash Jay SarkarFormulations, reThink64 Bionetworks PBC Fremont CA 94539 USA.
Akira YamamotoDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.
Joseph LaurienzoDepartment of Computer Science & Engineering, ASDRP Fremont CA 94539 USA.
Joseph PazziDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.ORCID https://orcid.org/0009-0000-6449-9427
Edward NjooDepartment of Chemistry, Biochemistry & Physics, ASDRP Fremont CA 94539 USA joey.pazzi@asdrp.org edward.njoo@asdrp.org.ORCID https://orcid.org/0000-0001-6693-8219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carmofur, a lipidated urethane derivative and prodrug of 5-fluorouracil, has an established clinical application as an antineoplastic agent for the treatment of colorectal cancer, primarily through inhibition of acid ceramidase and subsequent intracellular drug release. Beyond this oncological application, recent drug repurposing efforts have identified covalent inhibition of the SARS-CoV-2 main protease as an additional antiviral mechanism. The pronounced amphiphilic character of carmofur, arising from a polar fluoropyrimidine headgroup appended to a hydrophobic aliphatic tail, raises the possibility of an additional membrane-directed mechanism orthogonal to canonical target engagement. Driven by observations that certain lipidated carmofur analogs induce potent disruption in giant unilamellar vesicles (GUVs), which serve as model-membrane systems, we evaluated nine analogs with differing alkyl tail lengths and saturation to characterize the capacity of such lipidated compounds to directly engage with biological membranes. To efficiently quantify the membrane-disrupting capabilities of these analogs, we benchmarked the detection accuracy of a transformer-based model and a CNN-based vision model, where YOLOv11 matched RT-DETRv3's detection accuracy while running at a fraction of its computational cost. Through both cell-free and

Identifiers

PMID42807973
PMCPMC13618345

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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.