High-throughput protein target mapping enables accelerated bioactivity discovery for ToxCast and PFAS compounds

D Diwen Yang (Department of Physical and Environmental Sciences, University of Toronto Scarborough) X Xiaoyun Wang (Department of Chemistry, University of Toronto) J Jiabao Liu (Department of Chemistry, University of Toronto) Y Yufeng Gong (Department of Chemistry, University of Toronto) P Pranav Nair (Department of Chemistry, University of Toronto) J Jianxian Sun (Department of Chemistry, University of Toronto) X Xing Qian (Department of Chemistry, University of Toronto) J Jingyuan Cui (Department of Chemistry, University of Toronto) H Hong Zeng (Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China) A Aiping Dong (Structural Genomics Consortium) R Rachel J. Harding (Structural Genomics Consortium) N Nicola Burgess-Brown (Structural Genomics Consortium, University College London) T Tyler S. Beyett (Department of Pharmacology and Chemical Biology, Emory University) D Datong Song (Department of Chemistry, University of Toronto) H Henry M. Krause (Donnelly Centre for Cellular & Biomolecular Research, University of Toronto) M Miriam L. Diamond (School of the Environment, University of Toronto) D Derek L. Bolhuis N Nicholas G. Brown C Cheryl H. Arrowsmith A Aled M. Edwards (Structural Genomics Consortium) L Levon Halabelian (Structural Genomics Consortium) H Hui Peng

Abstract

Chemical pollution is a global threat to human health, yet the toxicity mechanisms of most contaminants remains unknown. Here, we applied an ultrahigh-throughput affinity selection–mass spectrometry (AS–MS) platform to systematically identify protein targets of prioritized chemical contaminants. After benchmarking the platform, we screened 50 human proteins against 481 prioritized chemicals, including 446 ToxCast chemicals and 35 per- and polyfluoroalkyl substances (PFAS). Among 24,050 interactions assessed, we discovered 35 interactions involving 13 proteins, with fatty acid–binding proteins (FABPs) emerging as the most ligandable protein family. Given this, we selected FABPs for further validation, which revealed a distinct PFAS binding pattern: legacy PFAS selectively bound to FABP1, whereas replacement compounds, perfluoroether carboxylic acids, unexpectedly interacted with all FABPs. X-ray crystallography further revealed that the ether group enhances the molecular flexibility of alternative PFAS to accommodate the binding pockets of FABPs. Our findings demonstrate that AS–MS is a robust platform for the discovery of protein targets beyond the scope of ToxCast and highlight the broader protein-binding spectrum of alternative PFAS as potential regrettable substitutes.

Article Details

Volume / Issue Vol. 123, Issue 25
Published June 23, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (22)

D

Diwen Yang

Department of Physical and Environmental Sciences, University of Toronto Scarborough

X

Xiaoyun Wang

Department of Chemistry, University of Toronto

J

Jiabao Liu

Department of Chemistry, University of Toronto

Y

Yufeng Gong

Department of Chemistry, University of Toronto

P

Pranav Nair

Department of Chemistry, University of Toronto

J

Jianxian Sun

Department of Chemistry, University of Toronto

X

Xing Qian

Department of Chemistry, University of Toronto

J

Jingyuan Cui

Department of Chemistry, University of Toronto

H

Hong Zeng

Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China

A

Aiping Dong

Structural Genomics Consortium

R

Rachel J. Harding

Structural Genomics Consortium

N

Nicola Burgess-Brown

Structural Genomics Consortium, University College London

T

Tyler S. Beyett

Department of Pharmacology and Chemical Biology, Emory University

D

Datong Song

Department of Chemistry, University of Toronto

H

Henry M. Krause

Donnelly Centre for Cellular & Biomolecular Research, University of Toronto

M

Miriam L. Diamond

School of the Environment, University of Toronto

D

Derek L. Bolhuis

N

Nicholas G. Brown

C

Cheryl H. Arrowsmith

A

Aled M. Edwards

Structural Genomics Consortium

L

Levon Halabelian

Structural Genomics Consortium

H

Hui Peng