CoReGMC: Computational Resources for Genetically Modified Crops
Genetically Modified Crops

Antiviral Protein Prediction Tools

This page provides a comprehensive list of tools and databases developed for the prediction and analysis of anti-viral proteins (AVPs). These tools utilize machine learning, deep learning, and ensemble methods to identify and predict AVPs for therapeutic research and drug discovery.

Name Year Description PubMed ID
ENNAVIA 2021 Developed using sequence-based deep learning for anti-viral protein identification. 34297817
DeepAVP 2020 A deep learning model for predicting anti-viral proteins. 32142462
HybAVPnet 2024 A hybrid model for anti-viral protein prediction using advanced feature selection techniques. 38587961
AntiVPP 1.0 2019 Machine learning-based anti-viral protein prediction using comprehensive feature encodings. 30802694
AVPpred 2012 A prediction server for identifying anti-viral peptides. 22638580
DeepAVP-TPPred 2024 Deep learning-based method for anti-viral protein prediction using tensor-based feature encodings. 38710482
FFMAVP 2023 A feature fusion model for anti-viral protein identification using ensemble learning. 37861174
Meta-iAVP 2019 A meta-predictor for anti-viral proteins utilizing integrated feature representations. 31731751
avp 2024 Advanced sequence-based tool for anti-viral peptide prediction. 38706321
Stack-AVP 2024 Stacking-based ensemble model for identifying anti-viral peptides using various feature encodings. 39510347
Deepstacked-AVPs 2024 Deep learning stacked model for identifying anti-viral peptides. 38454333
AVPIden 2021 Prediction tool for anti-viral peptides using hybrid machine learning approaches. 34279599
FIRM-AVP 2020 Advanced anti-viral peptide prediction using flexible representation modeling. 33159146
StarPep 2024 Multi-faceted tool for anti-viral peptide prediction using structure-based representations. 39200068
AI4AVP 2022 AI-based system for anti-viral peptide prediction using advanced embeddings. 36699402
Yongtao Xu et al. 2015 Study on anti-viral peptide identification using computational approaches. 26636321
Datt-AVP 2021 A robust prediction tool for anti-viral peptides using a hybrid modeling approach. Link