Author

Y.-M. Shi

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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Microbiology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

H. B. Bode· 3 shared Y.-N. Shi· 3 shared A. Thanwisai· 2 shared C. Richter· 2 shared A. Schueffler· 1 shared A. Vitta· 1 shared C. Griesinger· 1 shared C. Parra-Rojas· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersMicrobiology

H. B. Bode

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Global analysis of biosynthetic gene clusters reveals conserved and unique natural products in entomopathogenic nematode-symbiotic bacteria

Y.-M. Shi, M. Hirschmann, Y.-N. Shi, S. Ahmed, D. Abebew, N. J. Tobias, P. Gruen, J. J. Crames, L. Poeschel, W. Kuttenlochner, C. Richter, J. Herrmann, R. Mueller, A. Thanwisai, S. J. Pidot, , H. B. Bode

The paper analyzes biosynthetic gene clusters in entomopathogenic nematode-symbiotic bacteria to identify conserved and unique natural products and their functional roles.

bioRxiv · Jan 21, 2022Biochemistry

The Chemical Structure of Widespread Microbial Aryl Polyene Lipids

G. L. Grammbitter, Y.-M. Shi, Y.-N. Shi, S. P. Vemulapalli, C. Richter, H. Schwalbe, M. Alanjary, A. Schueffler, M. Witt, C. Griesinger, H. B. Bode

This study identifies the chemical structure of aryl polyene lipids (APELs) from Xenorhabdus doucetiae using chromatographic purification and structural analysis techniques.

bioRxiv · Dec 19, 2020 · PreprintMicrobiology

Focused natural product elucidation by prioritizing high-throughput metabolomic studies with machine learning

N. Tobias, C. Parra-Rojas, Y.-N. Shi, Y.-M. Shi, S. Simonyi, A. Thanwisai, A. Vitta, N. Chantratita, E. A. Hernandez-Vargas, H. B. Bode

The paper uses machine learning to prioritize metabolites in high-throughput metabolomic studies of Photorhabdus and Xenorhabdus bacteria, identifying previously unknown compounds.

bioRxiv · Jan 31, 2019 · PreprintMicrobiology