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Updated: Jun 4, 2026

Semi-automated Biopanning of Bacterial Display Libraries for Peptide Affinity Reagent Discovery and Analysis of Resulting Isolates

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Rethinking peptide developability with sequence-only models: interpretable screening of microplastic-binding peptides

Guangyao Chen^1,2, Fengqi You^1,2,3

¹College of Engineering, Cornell University Ithaca NY 14853 USA fengqi.you@cornell.edu.

Chemical Science

|June 3, 2026

Summary

This summary is machine-generated.

This study introduces gated query pooling (GQP) for accurate peptide developability screening using only sequence data. GQP effectively predicts and mitigates risks like hemolysis and poor solubility in microplastic-targeting peptides.

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Split-and-pool Synthesis and Characterization of Peptide Tertiary Amide Library

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Area of Science:

Biotechnology
Computational Biology
Materials Science

Background:

Designing peptides for microplastic targeting faces multi-objective challenges, balancing adsorption with developability risks like hemolysis and poor solubility.
Current methods often struggle to accurately predict these risks from sequence alone.

Purpose of the Study:

To develop a sequence-only method for accurate peptide developability screening.
To introduce and validate a novel approach, gated query pooling (GQP), for predicting peptide developability.
To establish testable design rules for peptide development.

Main Methods:

Introduced gated query pooling (GQP), a backbone-agnostic method using query vectors to extract signals from protein language model embeddings.
Evaluated GQP's accuracy on hemolysis, non-fouling, and solubility prediction using a consistent protocol.
Integrated GQP with microplastic-binding affinity scores and molecular dynamics for multi-objective prioritization.

Main Results:

GQP achieved high accuracy in predicting peptide developability: 91.09% for hemolysis, 86.30% for non-fouling, and 75.56% for solubility.
GQP outperformed sequence-only and AlphaFold-augmented baselines.
Attention diagnostics and counterfactual substitutions provided residue-level design insights.

Conclusions:

Accurate peptide developability screening is achievable from sequence alone using GQP.
Non-fouling properties emerged as a key bottleneck in peptide design for microplastic applications.
The integrated approach supports scalable prioritization of microplastic-binding peptides.