Article

Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids information

2024-07-16

Abstract excerpt

Influenza A virus (IAV) has the characteristics of high infectivity and high pathogenicity, which makes IAV infection a serious public health threat. Identifying protein-protein interactions (PPIs) between IAV and human proteins is beneficial for understanding the mechanism of viral infection and designing antiviral drugs. In this paper, we developed a sequence-based machine learning method for predicting PPI. Fir...

Topics

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

Identifiers and source

Literature Corpus work: 8a644566-b6be-5a9a-a879-4de94a7f6ff5
DOI: 10.22541/au.172115164.41006449/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction of influenza A virus-human protein-protein interactions using XGBoost with continuous and discontinuous amino acids informationDOI 10.22541/au.172115164.41006449/v1Read

Alpha influenza virus infiltration prediction using virus-human protein-protein interaction networkSemantic proximity Read

Machine Learning Approaches for Predicting Virus-Human Protein-Protein Interactions: An Evaluation of Retroviral Interaction NetworksSemantic proximity Read

A normalized differential sequence feature encoding method based on amino acid sequencesSemantic proximity Read

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree BoostingSemantic proximity Read

Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.Semantic proximity Read

Review of computational methods for virus–host protein interaction prediction: a case study on novel Ebola–human interactionsSemantic proximity Read

Machine learning approach to predict protein-protein interactions between human and hepatitis E virus: revealing links to hepatocellular carcinomaSemantic proximity Read

Machine Learning Methods for Predicting Human-Adaptive Influenza A Viruses Based on Viral Nucleotide CompositionsSemantic proximity Read

Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine LearningSemantic proximity Read

Prediction and analysis of human-herpes simplex virus type 1 protein-protein interactions by integrating multiple methodsSemantic proximity Read

Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention–based neural networksSemantic proximity Read

Accurate Prediction of Genome-wide RNA Secondary Structure Profile Based On Extreme Gradient BoostingSemantic proximity Read