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Machine learning aided construction of the quorum sensing communication network for human gut microbiota

Abstract:

Quorum sensing (QS) is a cell-cell communication mechanism that connects members in various microbial systems. Conventionally, a small number of QS entries are collected for specific microbes, which is far from being able to fully depict communication-based complex microbial interactions in human gut microbiota. In this study, we propose a systematic workflow including three modules and the use of machine learning-based classifiers to collect, expand, and mine the QS-related entries. Furtherm...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-022-30741-6

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Role:
Author
ORCID:
0000-0001-7497-2935
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Role:
Author
ORCID:
0000-0001-7892-3401
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Role:
Author
ORCID:
0000-0003-1659-3579
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Role:
Author
ORCID:
0000-0002-1502-1758
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Role:
Author
ORCID:
0000-0003-1438-2014
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Publisher:
Springer Nature Publisher's website
Journal:
Nature Communications Journal website
Volume:
13
Issue:
1
Article number:
3079
Publication date:
2022-06-02
Acceptance date:
2022-05-17
DOI:
EISSN:
2041-1723
Language:
English
Keywords:
Pubs id:
1262662
Local pid:
pubs:1262662
Deposit date:
2022-06-09

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