Article

Large language models enable high-throughput mining and generation of antimicrobial peptides against clinical superbugs

2024-12-04

Abstract excerpt

<title>Abstract</title> <p>The discovery of novel antimicrobial peptides (AMPs) against clinical superbugs is urgently needed to address the ongoing antibiotic resistance crisis. Here, a pre-trained protein large language model (LLM), ProteoGPT was established and further developed into multiple specialized sub-LLMs to assemble a sequential pipeline. This pipeline enables rapid screening across hundreds of millio...

Topics

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

Identifiers and source

Literature Corpus work: 5e664080-216d-507a-9bc7-40d05ebddf01
DOI: 10.21203/rs.3.rs-4690529/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Large language models enable high-throughput mining and generation of antimicrobial peptides against clinical superbugsDOI 10.21203/rs.3.rs-4690529/v1Read

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

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

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide PredictionSemantic proximity Read

Leveraging large language models to predict antibiotic resistance in Mycobacterium tuberculosis.Semantic proximity Read

Deep-learning based bioactive therapeutic peptides generation and screeningSemantic proximity Read

<i>MACREL</i> : antimicrobial peptide screening in genomes and metagenomesSemantic proximity Read

ClsDiff-AMP30: Generating Antimicrobial Peptides by a Classifier Guidance Noise PredictorSemantic proximity Read

A Domain-Specific Language Model Approach for Identifying Immunogenic Epitopes from Publicly Available Data: EpitopeMinerSemantic proximity Read

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

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

Large Language Model-assisted text mining reveals bacterial pathogen diversitySemantic proximity Read