papers

Publications (18)

q-bio.GN2025

ViralQC: A Tool for Assessing Completeness and Contamination of Predicted Viral Contigs

Cheng Peng, Jiayu Shang, Jiaojiao Guan +1

Motivation: Viruses represent the most abundant biological entities on the planet and play vital roles in diverse ecosystems. Cataloging viruses across various environments is esse…

q-bio.GN2022

CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model

Jiayu Shang, Yanni Sun

Prokaryotic viruses, which infect bacteria and archaea, are key players in microbial communities. Predicting the hosts of prokaryotic viruses helps decipher the dynamic relationshi…

q-bio.GN2024

Accurate and efficient protein embedding using multi-teacher distillation learning

Jiayu Shang, Cheng Peng, Yongxin Ji +4

Motivation: Protein embedding, which represents proteins as numerical vectors, is a crucial step in various learning-based protein annotation/classification problems, including gen…

q-bio.GN2022

PhaTYP: Predicting the lifestyle for bacteriophages using BERT

Jiayu Shang, Xubo Tang, Yanni Sun

Bacteriophages (or phages), which infect bacteria, have two distinct lifestyles: virulent and temperate. Predicting the lifestyle of phages helps decipher their interactions with t…

q-bio.GN2025

Computational approaches for virus host prediction: A review of methods and applications

Jiayu Shang, Cheng Peng, Jiaojiao Guan +3

Accurate prediction of virus-host interactions is critical for understanding viral ecology and developing applications like phage therapy. However, the growing number of computatio…

q-bio.GN2023

PhaBOX: A web server for identifying and characterizing phage contigs in metagenomic data

Jiayu Shang, Cheng Peng, Herui Liao +2

Motivation: There is accumulating evidence showing the important roles of bacteriophages (phages) in regulating the structure and functions of the microbiome. However, lacking an e…

q-bio.GN2025

GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree search

Fuchuan Qu, Cheng Peng, Jiaojiao Guan +3

Motivation: Nucleocytoplasmic large DNA viruses (NCLDVs) are notable for their large genomes and extensive gene repertoires, which contribute to their widespread environmental pres…

q-bio.GN2021

Bacteriophage classification for assembled contigs using Graph Convolutional Network

Jiayu Shang, Jingzhe Jiang, Yanni Sun

Motivation: Bacteriophages (aka phages), which mainly infect bacteria, play key roles in the biology of microbes. As the most abundant biological entities on the planet, the number…

q-bio.GN2023

PhaVIP: Phage VIrion Protein classification based on chaos game representation and Vision Transformer

Jiayu Shang, Cheng Peng, Xubo Tang +1

Motivation: As viruses that mainly infect bacteria, phages are key players across a wide range of ecosystems. Analyzing phage proteins is indispensable for understanding phages' fu…

q-bio.GN2026

SeekRBP: Leveraging Sequence-Structure Integration with Reinforcement Learning for Receptor-Binding Protein Identification

Xiling Luo, Le Ou-Yang, Yang Shen +6

Motivation: Receptor-binding proteins (RBPs) initiate viral infection and determine host specificity, serving as key targets for phage engineering and therapy. However, the identif…

q-bio.GN2022

Phage family classification under Caudoviricetes: a review of current tools using the latest ICTV classification framework

Yilin Zhu, Jiayu Shang, Cheng Peng +1

Bacteriophages, which are viruses infecting bacteria, are the most ubiquitous and diverse entities in the biosphere. There is accumulating evidence revealing their important roles…

q-bio.GN2022

Accurate identification of bacteriophages from metagenomic data using Transformer

Jiayu Shang, Xubo Tang, Ruocheng Guo +1

Motivation: Bacteriophages are viruses infecting bacteria. Being key players in microbial communities, they can regulate the composition/function of microbiome by infecting their b…

q-bio.GN2021

Predicting the hosts of prokaryotic viruses using GCN-based semi-supervised learning

Jiayu Shang, Yanni Sun

Background: Prokaryotic viruses, which infect bacteria and archaea, are the most abundant and diverse biological entities in the biosphere. To understand their regulatory roles in…

q-bio.QM2024

PhaGO: Protein function annotation for bacteriophages by integrating the genomic context

Jiaojiao Guan, Yongxin Ji, Cheng Peng +4

Bacteriophages are viruses that target bacteria, playing a crucial role in microbial ecology. Phage proteins are important in understanding phage biology, such as virus infection,…

cs.LG2024

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection

Xiangyu Dong, Xingyi Zhang, Yanni Sun +3

The smoothing issue in graph learning leads to indistinguishable node representations, posing significant challenges for graph-related tasks. However, our experiments reveal that t…

q-bio.GN2020

ProDOMA: improve PROtein DOMAin classification for third-generation sequencing reads using deep learning

Du Nan, Jiayu Shang, Yanni Sun

Motivation: With the development of third-generation sequencing technologies, people are able to obtain DNA sequences with lengths from 10s to 100s of kb. These long reads allow pr…

q-bio.GN2026

TPMM: Three-component Posterior Mixture Model Enables Robust Inverton Detection in Low-Depth Metagenomes and Suggests Potential Viral Invertons

Yi Lu, Jiaojiao Guan, Yang Shen +2

Bacterial phase variation enables reversible, locus-specific phenotypic switching, often driven by DNA inversion (invertons). To identify these events, researchers commonly rely on…

q-bio.GN2026

PhageMind: Generalized Strain-level Phage Host Range Prediction via Meta-learning

Yang Shen, Keming Shi, Chen Yu +3

Bacteriophages (phages) are key regulators of bacterial populations and hold great promise for applications such as phage therapy, biocontrol, and industrial fermentation. The succ…