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Binbin Xi
Researcher at South China University of Technology
Publications - 9
Citations - 40
Binbin Xi is an academic researcher from South China University of Technology. The author has contributed to research in topics: Biology & Reference genome. The author has an hindex of 2, co-authored 8 publications receiving 9 citations.
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Journal ArticleDOI
Rapid and accurate detection of SARS-CoV-2 mutations using a Cas12a-based sensing platform
He Changsheng,Cailing Lin,Guosheng Mo,Binbin Xi,An′an Li,Dongchao Huang,Yanbin Wan,Feng Chen,Yufeng Liang,Qingxia Zuo,Wanqing Xu,Dongyan Feng,Guanting Zhang,Liya Han,Changwen Ke,Hongli Du,Lizhen Huang +16 more
TL;DR: In this paper, a Cas12a-based RT-PCR combined with CRISPR on-site rapid detection system (RT-CORDS) platform was used to detect the key mutations in SARS-CoV-2 variants, such as 69/70 deletion, N501Y, and D614G.
Journal ArticleDOI
AutoVEM: an automated tool to real-time monitor epidemic trends and key mutations in SARS-CoV-2 evolution.
Binbin Xi,Dawei Jiang,Shuhua Li,Jerome R Lon,Yunmeng Bai,Shudai Lin,Meiling Hu,Yuhuan Meng,Yimo Qu,Yuting Huang,Wei Liu,Lizhen Huang,Hongli Du +12 more
TL;DR: The AutoVEM tool developed in the present study could complete all mutations detections, haplotypes classification, haplotype subgroup epidemic trends and candidate key mutations analysis for 131,576 SARS-CoV-2 genome sequences in 18 hours on a 1 core CPU and 2GB RAM computer.
Posted ContentDOI
Molecular dynamics simulation study of effects of key mutations in SARS-CoV-2 on protein structures
TL;DR: Zhang et al. as discussed by the authors selected the key mutations of SARS-CoV-2, including D614G and A222V of S protein and Q57H of ORF3a protein, to conduct molecular dynamics simulation and analysis on the structures of the mutant proteins.
Journal ArticleDOI
AutoVEM2: A flexible automated tool to analyze candidate key mutations and epidemic trends for virus.
Binbin Xi,Zixi Chen,Shuhua Li,Wei Liu,Dawei Jiang,Yunmeng Bai,Yimo Qu,Jerome R Lon,Lizhen Huang,Hongli Du +9 more
TL;DR: Wang et al. as mentioned in this paper developed a flexible automated tool to analyze candidate key mutations and epidemic trends for any virus, which would become a standard process for virus analysis based on genome sequences in the future.
Posted ContentDOI
AutoVEM2: a flexible automated tool to analyze candidate key mutations and epidemic trends for virus
Binbin Xi,Shuhua Li,Wei Liu,Dawei Jiang,Yunmeng Bai,Yimo Qu,Jerome R Lon,Lizhen Huang,Hongli Du +8 more
TL;DR: Wang et al. as discussed by the authors developed a flexible automated tool to analyze candidate key mutations and epidemic trends for any virus, which would become a standard process for virus analysis based on genome sequences in the future.