Author

B. Ruan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 2 Cell Biology· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:human· 2 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

D. T. Gallagher· 3 shared E. J. Choi· 3 shared P. N. Bryan· 3 shared R. Simmerman· 3 shared Y. Chen· 3 shared Y. He· 3 shared B. Zhang· 2 shared D. Motabar· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBiochemistry

D. T. Gallagher

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Author profile →

5 papers

Recent·Most cited

Design and characterization of a protein fold switching network

B. Ruan, Y. He, Y. Chen, E. J. Choi, Y. Chen, D. Motabar, T. Solomon, R. Simmerman, T. Kauffman, D. T. Gallagher, J. P. Orban, P. N. Bryan

The paper designs and characterizes a protein fold switching network where single amino acid substitutions can switch fold and function in proteins.

bioRxiv · Oct 26, 2022Biochemistry

Rules for designing protein fold switches and their implications for the folding code

Y. Chen, Y. He, B. Ruan, E. J. Choi, Y. Chen, D. Motabar, T. Solomon, R. Simmerman, T. Kauffman, D. T. Gallagher, J. Orban, P. N. BRYAN

The paper designs protein fold switches between three common small folds and identifies rules for engineering dimorphic sequences that can populate multiple folds.

bioRxiv · May 18, 2021 · PreprintBiophysics

AIM-CICs: automatic identification method for Cell-in-cell structures based on convolutional neural network

M. Tang, Y. Su, W. Zhao, Z. Niu, B. Ruan, Q. Li, Y. Zheng, C. Wang, Y. Zhou, B. Zhang, F. Zhou, H. Huang, H. Shi, Q. Sun

This study develops AIM-CICs, an AI-based method using CNN to automatically identify and classify cell-in-cell structures, improving efficiency and accuracy over manual methods.

bioRxiv · Feb 26, 2021Cell Biology

Engineering protein-specific proteases: targeting active RAS

Y. Chen, E. A. Toth, B. Ruan, E. J. Choi, R. Simmerman, Y. Chen, Y. He, R. Wang, R. Godoy-Ruiz, H. King, G. Custer, D. T. Gallagher, D. A. Rozak, M. Soloman, S. Muro, , P. N. Bryan

This study designs engineered proteases that specifically degrade active RAS by cleaving a conserved sequence in switch 2, showing efficacy in vitro and in human cell culture.

bioRxiv · Sep 21, 2020Biochemistry

Counteracting Genome Instability by p53-dependent Mintosis

J. Liang, Z. Niu, X. Yu, B. Zhang, M. Wang, B. Ruan, H. Qin, X. Zhang, Y. Zheng, S. Gu, X. Sai, Y. Tai, L. Gao, L. Ma, Z. Chen, , Q. Sun

The paper identifies a p53-dependent process called mintosis that eliminates aneuploid mitotic progenies through entosis to counteract genome instability.

bioRxiv · Jan 16, 2020 · PreprintCell Biology