Article

Deep-learning based bioactive therapeutic peptides generation and screening

2022-11-16

Abstract excerpt

Many bioactive peptides demonstrated therapeutic effects over-complicated diseases, such as antiviral, antibacterial, anticancer, etc . Similar to the generating de novo chemical compounds, with the accumulated bioactive peptides as a training set, it is possible to generate abundant potential bioactive peptides with deep learning. Such techniques would be significant for drug development since peptides are much...

Topics

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

Identifiers and source

Literature Corpus work: cf28627d-2ae9-5a85-8a5f-2a87034877a6
DOI: 10.1101/2022.11.14.516530

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep-learning based bioactive therapeutic peptides generation and screeningDOI 10.1101/2022.11.14.516530Read

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

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

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

Discovering Novel Antimicrobial Peptides in Generative Adversarial NetworkSemantic proximity Read

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

PandoraGAN: Generating antiviral peptides using Generative Adversarial NetworkSemantic proximity Read

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

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

A deep reinforcement learning platform for antibiotic discoverySemantic proximity Read

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

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