Author

Chen Qi

Beijing Normal-Hong Kong Baptist UniversityORCID 0000-0002-0821-5343Unclaimed ORCID profile · follow to get notified of new preprints

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Chen Qi1 paper · Chinese Academy of Sciences

Biology Disciplines

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Bioinformatics· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:protein structure prediction· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Hongxia LaniD· 3 shared Bei‐Bei HeiD· 2 shared Xuechun SheniD· 2 shared Zongan WangiD· 2 shared Aijun Jiang· 1 shared Baitao LiiD· 1 shared Bo WangiD· 1 shared Changwei ShaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Hongxia LanORCID

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3 papers

Recent·Most cited

BioinformaticsCell Host & MicrobePeer-reviewedJun 10, 2026

The genetic repertoire of the deep sea: from sequence to structure and function

Yang Guo, Zongan Wang, Denghui Li…·Yuliang Dong

This study analyzes the genetic diversity of the deep sea, linking protein structures to genetic variants and identifying biotechnologically relevant features.

4 citationstop 2%

proteomicsstatistical model

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Synthetic BiologybioRxivPreprintSep 30, 2025

A deep learning and co-conservation framework enable discovery of non-canonical Cas proteins

Bei‐Bei He, Chen Qi, Yuanyuan Feng…·Yuxiang Li

The paper introduces BioPrinCRISPR, a framework to identify and characterize CRISPR-Cas systems, revealing non-canonical variants and novel domain architectures across bacterial genomes.

1 citation

bacteria (other)deep learning

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BioinformaticsbioRxivPreprintApr 9, 2024

PAMPHLET: A Robust Toolkit for Precise PAM Prediction and Unveiling PAM Consistency in Highly Co-occurrence CRISPR-Cas Systems

Chen Qi, Xuechun Shen, Baitao Li…·Dan Wang

PAMPHLET predicts PAM sequences for CRISPR-Cas systems by expanding spacer data through homology searches, achieving high accuracy validated by experimental methods.

DOI 10.1101/2024.04.09.587696

DNA methylationproteomics

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