What does this research mean for the field?

Protein affinity selection-mass spectrometry (AS-MS) integrated with machine learning-driven analytics holds substantial promise as a cornerstone platform for next-generation environmental bioactive chemical screening and regulatory prioritization. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

August 22, 2026Environmental Science & Technology

Future Directions in Protein Affinity Selection–Mass Spectrometry for High-Throughput Protein–Ligand Recognition

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Authors

XSXinming ShenKing University XCXu ChengFudan University JHJianying HuUrbana University

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Implication

Narrative review highlights advances in affinity selection–mass spectrometry for environmental chemical screening, indicating machine learning integration accelerates toxicological discovery.

Key Points

To review recent advances, methodological bottlenecks, and machine learning solutions in protein affinity selection–mass spectrometry for high-throughput screening of bioactive environmental contaminants.
Reviewed applications of protein affinity selection–mass spectrometry (AS-MS) paired with high-resolution mass spectrometry (HRMS) for capturing chemical targets.
Assessed technical bottlenecks in structural elucidation and biological activity prediction, evaluating machine learning integration strategies.
AS-MS serves as an efficient bait-based screening platform to discover novel protein targets, elucidate toxicological mechanisms, and identify bioactive transformation products.
Integrating machine learning models resolves key analytical bottlenecks by enabling structural elucidation and direct transcriptional activity prediction.

Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/6a898131ca7ade938187f2c7 https://doi.org/10.1021/acs.est.6c03677

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Implication

Narrative review highlights advances in affinity selection–mass spectrometry for environmental chemical screening, indicating machine learning integration accelerates toxicological discovery.

Future Directions in Protein Affinity Selection–Mass Spectrometry for High-Throughput Protein–Ligand Recognition

Discussion

Member takes

Implication

Key Points

Cite This Study

Future Directions in Protein Affinity Selection–Mass Spectrometry for High-Throughput Protein–Ligand Recognition

Discussion

Member takes

Implication

Key Points

Cite This Study

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