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Yingying Lyu on Muck Rack

Yingying Lyu

As seen in: MDPI, Cell Press, Scientific Research Publishing (SCIRP)
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Articles

Nicotinamide nucleotide transhydrogenase directly couples redox homeostasis to proline biosynthesis in human glioma

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By Lisa A. Vettore, Yingying Lyu, Anaïs Oudin, Keene L. Abbott, Sonu Subudhi, Yetis Gultekin, Katherine L. Eales, Cristina Escribano-Gonzalez, Himani Rana, Rakesh K. Jain, Anna Golebiewska, Matthew G. Vander Heiden, Daniel A. Tennant, Adam Boufersaoui, Ishana Rajgopal, Rahatil A. Chowdhury, Victoria Wykes
| Cell Press Verified
Short articleOnline nowOpen access Affiliations & Notes 1Department of Metabolism and Systems Science, College of Medicine and Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom of Great Britain and Northern Ireland (the) 2Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States of America 3Department of Cancer and Genomic Sciences, College of Medicine and Health, University of Birmingham,...
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Mathematical Modelling of the Mitochondrial Dicarboxylate Carrier (SLC25A10)

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By Yingying Lyu, Elias Vera-Siguenza, Ramin Nashebi
| BioRxiv
Abstract The mitochondrial dicarboxylate carrier SLC25A10 mediates reversible exchange among succinate, malate, and phosphate, contributing to mitochondrial metabolic regulation. Structural studies establish a ping-pong mechanism, but most mathematical models still assume sequential binding, lacking mechanistic justification and overlooking the alternation of a single binding site.
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A Prediction-Based Anomaly Detection Method for Traffic Flow Data with Multi-Domain Feature Extraction

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By Xianguang Jia, Jie Qu, Yingying Lyu, Mengyi Guo
| MDPI
1. Introduction Time series data refers to a collection of data points associated with specific time components, typically recorded at uniform time intervals [1]. This type of data reflects the state or magnitude of a particular phenomenon or object over time [2]. Multivariate Time Series (MTS) is a set of time series that share the same timestamps.
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