Advancing virulence factor prediction using protein language models

We believe that pLM4VF will offer substantial support in uncovering pathogenic mechanisms, developing novel antibacterial treatments and vaccines, thereby aiding in the prevention and management of bacterial diseases.

Authors

Institutions

Publication Details

Journal
BMC Biology
Published
2025-10-14
DOI
https://doi.org/10.1186/s12915-025-02374-w
Citations
1
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing virulence factor prediction using protein language models

Xin Cao, Juanjuan Li, Yitong Liu, Xue Chi et al.
1 citations
BMC Biology
Machine Learning in Bioinformatics
0.81
article

Advancing virulence factor prediction using protein language models

Xin Cao, Juanjuan Li, Yitong Liu, Xue Chi, Xiang Ma, Jiani Li, Yanqiong Tang, Hong Li, Tao Li, Zhu Liu
article en
1 citations

Abstract

We believe that pLM4VF will offer substantial support in uncovering pathogenic mechanisms, developing novel antibacterial treatments and vaccines, thereby aiding in the prevention and management of bacterial diseases.

BMC BiologyVol. 23(1)
Hainan University (CN)
Peking University First Hospital, National Natural Science Foundation of China, China Agricultural University, Peking University
Openalex Percentile: Top 23%
Machine Learning in Bioinformatics
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.