Author

John B. Buse

University of North Carolina at Chapel HillORCID 0000-0002-9723-3876Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Alison A. Motsinger‐ReifiD· 1 shared Chuhuan Jiang· 1 shared Daniel Miller RotroffiD· 1 shared Denis FourchesiD· 1 shared Guangzheng Xu· 1 shared Hui ZhangiD· 1 shared Jian Yao· 1 shared Jianchang XuiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Alison A. Motsinger‐ReifORCID

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2 papers

Recent·Most cited

An ultra-long acting insulin enables glucose-synchronised release

Yang Zhang, Juan Zhang, Kangfan Ji, Shaoqian Mei, Su Chen, Yanfang Wang, Guangzheng Xu, Hui Zhang, Junhuan Lin, Xuehui Huang, Xiuwen Zhang, Kairui Xu, Jianchang Xu, Leihao Lu, Mowei Zhou, , Zhen Gu

This paper develops a glucose-responsive insulin analogue with ultra-long duration and glucose-synchronised release, showing prolonged normoglycaemia in diabetic mice and minipigs.

bioRxiv · Oct 12, 2025 · PreprintBioengineering

Identifying individual risk rare variants using protein structure-guided local tests (POINT)

Rachel Marceau West, Wenbin Lu, Daniel Miller Rotroff, Mélaine A. Kuenemann, Sheng‐Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger‐Reif, Denis Fourches, Jung‐Ying Tzeng

The paper introduces POINT, a method that uses protein structure to identify individual rare variants associated with complex diseases by performing localized association tests.

PLoS Computational Biology · Feb 19, 2019Peer-reviewedBioinformatics