PEPTIDE AI / SELECTED RESEARCH

Peptide AI.
Across sequence & structure.

Peptide representations and learning lead this collection. PepDDG, PepLand, and PepHarmony connect peptide sequence, structure, and function; selected molecular methods and clinical modeling appear below.

Peptide AI

2026PUBLIC SOURCE PENDING

PepDDG

Peptide–protein binding ΔΔG prediction via information channel decomposition.

Acceptance reported by Richard; public author list and publication link pending verification.

2025PUBLICATION

PepLand

Multi-view heterogeneous graphs for peptide representations across natural and non-natural amino acids.

Briefings in Bioinformatics · 26(4), bbaf367Explore the idea ↗
2026PUBLICATION

AMPCliff

Quantitative definition and benchmarking of activity cliffs in antimicrobial peptides.

Journal of Advanced Research · 80, 287–300Explore the idea ↗

Molecular AI & Methods

2024PUBLICATION

MolFeSCue

Few-shot and contrastive learning for scarce and imbalanced molecular property labels.

Bioinformatics · 40(4), btae118Explore the idea ↗
2026PUBLICATION

MolProphecy

Multimodal molecular graphs and chemical knowledge, using ChatGPT-generated knowledge in the reported implementation.

Journal of Advanced Research · 85, 577–594Explore the idea ↗
2023PUBLICATION

OCMR

Recognizing chemical structures from images.

Computers in Biology and Medicine · 163, 107187Explore the idea ↗
2026PUBLICATION

HeFS

Helper-enhanced feature selection via Pareto-optimized genetic search.

Journal of Advanced Research · advance online, 2026Explore the idea ↗

Clinical modeling

2026PUBLICATION

DeepSelective

Interpretable prognostic feature selection and compression for electronic health records.

Pattern Recognition · 174, 112970Explore the idea ↗
2024PUBLICATION

FairCare

Adversarial heterogeneous graph attention for fair electronic-health-record representations.

Information Processing & Management · 61(3), 103682Explore the idea ↗

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