Article

Highly accurate prediction of broad-spectrum antiviral compounds with DeepAVC

2025-02-20

Abstract excerpt

Lethal viruses, such as HIV, pose a significant threat to human life, with each pandemic causing millions of fatalities globally. Small-molecule antiviral drugs provide an efficient and convenient approach to antiviral therapy by either inhibiting viral activity or activating the host immune system. However, conventional antiviral drug discovery is often labor-intensive and time-consuming due to the vast chemical...

Topics

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

Identifiers and source

Literature Corpus work: ee958460-9bbd-562b-bd56-a35a90b51ac8
DOI: 10.1101/2025.02.15.638408

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Highly accurate prediction of broad-spectrum antiviral compounds with DeepAVCDOI 10.1101/2025.02.15.638408Read

Viral Sentry AI (VirSentAI) - Automated Zoonotic Surveillance & Drug Repurposing AgentSemantic proximity Read

A Computational Framework of Host-Based Drug Repositioning for Broad-Spectrum Antivirals against RNA VirusesSemantic proximity Read

A computational framework of host-based drug repositioning for broad-spectrum antivirals against RNA virusesSemantic proximity Read

Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networksSemantic proximity Read

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

Protein language model embeddings improve HIV drug resistance prediction: a comprehensive benchmark with attention-based interpretability.Semantic proximity Read

HybAVPnet: a novel hybrid network architecture for antiviral peptides identificationSemantic proximity Read

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host TropismSemantic proximity Read

Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolutionSemantic proximity Read

De Novo Design and Bioactivity Prediction of SARS-CoV-2 Main Protease Inhibitors Using ULMFitSemantic proximity Read

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

Deep Molecular Generative Model Based on Variant Transformer for Antiviral Drug DesignSemantic proximity Read