Article

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide Prediction

2026-01-22

Abstract excerpt

The escalating crisis of antimicrobial resistance poses a devastating and immediate threat to human life. Antimicrobial peptides (AMPs) are a promising antibiotic substitute to combat antimicrobial resistance. Compared with the traditional wet-lab screening approaches, computational models have largely improved the efficiency of predicting antimicrobial peptide. However, most computational models overlook or under...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6670edde-24d8-55ae-b63d-f04c71e7f7bd
DOI: 10.64898/2026.01.20.700468

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide PredictionDOI 10.64898/2026.01.20.700468Read

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learningSemantic proximity Read

ProT-Diff: A Modularized and Efficient Approach to De Novo Generation of Antimicrobial Peptide Sequences through Integration of Protein Language Model and Diffusion ModelSemantic proximity Read

PepSeek: Universal Functional Peptide Discovery with Cooperation Between Specialized Deep Learning Models and Large Language ModelSemantic proximity Read

A PLUM Job: Peptide modeLs for Understanding and engineering antiMicrobial therapeuticsSemantic proximity Read

Discovering highly potent antimicrobial peptides with deep generative model HydrAMPSemantic proximity Read

Large language models enable high-throughput mining and generation of antimicrobial peptides against clinical superbugsSemantic proximity Read

A deep reinforcement learning platform for antibiotic discoverySemantic proximity Read

AIPAMPDS: an AI platform for antimicrobial peptide design and screeningSemantic proximity Read

BATTLE-AMP: Benchmarking Antimicrobial Peptide PredictorsSemantic proximity Read

PepVAE3: variational autoencoder framework for antimicrobial peptide generation and activity predictionSemantic proximity Read

Modification-aware AI enables terminal chemical modifications for peptide design and discovers potent antimicrobialsSemantic proximity Read

Deep Learning for Protein–peptide binding Prediction: Incorporating Sequence, Structural and Language Model FeaturesSemantic proximity Read