QSHGM
QSHGM catalogs 28,567 nonredundant quorum sensing synthases and receptors across 818 distinct human gut microbes to enable analysis and prediction of QS-based microbial communication networks.
Key Features:
- Extensive QS Repository: Contains 28,567 nonredundant entries of quorum sensing synthases and receptors derived from 818 distinct gut microbes.
- Systematic Workflow: Built using a three-module systematic workflow that employs machine learning-based ensemble classifiers to collect reported QS entries, expand the repository, and mine new potential QS proteins.
- Predictive Capabilities: Enables prediction and construction of detailed QS communication networks for analysis of QS-based microbial interactions in the human gut microbiota.
- Research Integration: Provides data to support construction of knowledge maps and studies on microbial interactions with implications for gut health and therapeutic strategies for gut diseases.
Scientific Applications:
- Knowledge mapping: Supports building knowledge maps of the human gut microbiota based on quorum sensing interactions.
- Interaction prediction and network analysis: Facilitates prediction and analysis of QS-mediated microbial interactions and communication networks.
- Therapeutic hypothesis generation: Aids identification of QS-related targets and hypotheses relevant to gut health and interventions for gut diseases.
Methodology:
Integration of reported QS entries with a three-module systematic workflow that uses machine learning-based ensemble classifiers to expand the repository and mine new potential QS proteins.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 12/15/2021
- Last Updated:
- 12/15/2021
Operations
Publications
Wu S, Feng J, Liu C, Wu H, Qiu Z, Ge J, Sun S, Hong X, Li Y, Wang X, Yang A, Guo F, Qiao J. Machine Learning Aided Construction of the Quorum Sensing Communication Network for Human Gut Microbiota. Unknown Journal. 2021. doi:10.21203/rs.3.rs-755166/v1.