Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Biyun Shi"'
Autor:
Qiufeng Ye, Wenzheng Hu, Yunxiao Wei, Junchi Zhu, Bo Yao, Kuankuan Ren, Chunhe Li, Biyun Shi, Tie Li, Feng Ye, Zebo Fang
Publikováno v:
The Journal of Physical Chemistry Letters. 14:1140-1147
Publikováno v:
Biomedical chromatography : BMCREFERENCES. 37(1)
Ziziphi Spinosae semen (ZSS), the dried and ripe seed of Ziziphus jujube Mill. var. spinosa (Bunge) Hu ex H. F. Chou, has been used as a sedative in China and other Asian countries for over a millennium. However, its quality markers (Q-markers) are n
Autor:
Biyun Shi, Craig J. McClain, Imhoi Koo, Xiaoli Wei, Xiang Zhang, Ramandeep Rattan, Hamid Suhail, Xinmin Yin, Shailendra Giri, Pawel Lorkiewicz
Publikováno v:
Analytica Chimica Acta. 980:25-32
Stable isotope assisted metabolomics (SIAM) measures the abundance levels of metabolites in a particular pathway using stable isotope tracers (e.g., 13C, 18O and/or 15N). We report a method termed signature ion approach for analysis of SIAM data acqu
Autor:
Xiang Zhang, Ming Song, Fang Yuan, Biyun Shi, Patrick Bohman, Liqing He, Xinmin Yin, Aminul Islam Prodhan, Craig J. McClain
Publikováno v:
Analyst
The diverse characteristics and large number of entities make metabolite separation challenging in metabolomics. To date, there is not a singular instrument capable of analyzing all types of metabolites. In order to achieve a better separation for hi
Autor:
Craig J. McClain, Ameni Trabelsi, Aliasghar Shahrajooihaghighi, Xiaoli Wei, Xiang Zhang, Biyun Shi, Hichem Frigui
Publikováno v:
SAC
The paper proposes a molecule specific normalization algorithm, called MSN, which adopts a robust surface fitting strategy to minimize the molecular profile difference of a group of house-keeping molecules across samples. The house-keeping molecules
Autor:
Xiang Zhang, Biyun Shi, Hichem Frigui, Aliasghar Shahrjooihaghighi, Xiaoli Wei, Craig J. McClain
Publikováno v:
SAC
Biomarker discovery, i.e., identifying the discriminative features that are responsible for alteration of a biological system, is often solved by feature selection implemented by machine learning approaches. While many individual feature selection me
Autor:
Hichem Frigui, Xiang Zhang, Biyun Shi, Aliasghar Shahrjooihaghighi, Ameni Trabelsi, Xiaoli Wei
Publikováno v:
ISSPIT
Feature selection in Liquid Chromatography-Mass Spectrometry (LC-MS)-based metabolomics data (biomarker discovery) have become an important topic for machine learning researchers. High dimensionality and small sample size of LC-MS data make feature s
Publikováno v:
Journal of Pharmaceutical and Biomedical Analysis. 191:113588
Depression is currently the main disease which endangers human health and emotion. However, the existing antidepressants have the disadvantages of slowly taking effect and high recurrence rate. Numerous studies have shown that depression causes disor
Publikováno v:
The Journal of Physical Chemistry B. 117:3541-3547
With the widespread applications of nanomaterials such as carbon nanotubes, there is a growing concern on the biosafety of these engineered nanoparticles, in particular their interactions with proteins. In molecular simulations of nanoparticle-protei
Publikováno v:
The Journal of Physical Chemistry B. 116:8856-8862
In a previous study, we explored the mechanism of urea-induced denaturation of proteins by performing molecular dynamics (MD) simulations of hen lysozyme in 8 M urea and supported the "direct interaction mechanism" whereby urea denatures protein via