Evidence map›Paper›PMID 42367994›Full record

ArticlebioRxiv : the preprint server for biology2026

Solvent accessibility of chlorine-reactive amino acid residues in icosahedral virus structures: A meta-analysis.

Chonglin Zhu, Kerry Prinsen, Leah Ward, Mira Chaplin, Meng Shen, Shotaro Torii, Kathryn Kauffman, Yinyin Ye

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

8 authors.

Chonglin ZhuDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States.
Kerry PrinsenDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States.
Leah WardDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States.
Mira ChaplinDepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48105, United States.
Meng ShenDepartment of Physics, California State University, Fullerton, California 92831, United States.
Shotaro ToriiDepartment of Urban Engineering, School of Engineering, The University of Tokyo, Bunkyo City, Tokyo 113-8654, Japan.
Kathryn KauffmanDepartment of Oral Biology, University at Buffalo, Buffalo, New York 14214, United States.
Yinyin YeDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States.ORCID 0000-0003-0625-9657

Funding

Hiding in plain sight: integrating AI with targeted bench methods to discover and characterize viruses in the human bodyU01DE035632 · NIDCR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Kathryn M Kauffman, Libusha Kelly · 2026 to 2026
$423k
NIDCR NIH HHS U01 DE035632
6 · The paper itself

Abstract

Free chlorine reacts with viral proteins, but the protein structural determinants of viral resistance to chlorine treatment remain poorly understood. Here, we curated a dataset of 498 icosahedral virus structures, including intact virions and virus-like particles (VLPs), from the Protein Data Bank. Surprisingly, only 6.6% of these structures are associated with published viral chlorine inactivation rate constants (

Indexed as

Chlorine disinfectionsolvent-accessible areasstructural analysisstructural bioinformaticsviruseswater treatment

Identifiers

PMID42367994
PMCPMC13307984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.