نتایج جستجو برای: uhplc msms

تعداد نتایج: 1945  

Journal: :Molecules 2017
Wanessa Azevedo de Brito Monique Gomes Dantas Fernando Henrique Andrade Nogueira Edeildo Ferreira da Silva-Júnior João Xavier de Araújo-Júnior Thiago Mendonça de Aquino Êurica Adélia Nogueira Ribeiro Lilian Grace da Silva Solon Cícero Flávio Soares Aragão Ana Paula Barreto Gomes

Guanylhydrazones are molecules with great pharmacological potential in various therapeutic areas, including antitumoral activity. Factorial design is an excellent tool in the optimization of a chromatographic method, because it is possible quickly change factors such as temperature, mobile phase composition, mobile phase pH, column length, among others to establish the optimal conditions of ana...

Journal: :Journal of AOAC International 2012
Min Huang Doug Winters Darryl Sullivan Dawn Dowell

In an effort to measure vitamin D, ultra-high-performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS) was applied to samples. The use of UHPLC-MS/MS decreased the run time by 50%. The UHPLC-MS/MS achieved equal or better separation efficiency with complex food matrixes compared to HPLC-MS/MS. It was also observed that under the optimized conditions of UHPLC, all previtamin...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2010
Gregory R Bowman Vijay S Pande

Understanding molecular kinetics, and particularly protein folding, is a classic grand challenge in molecular biophysics. Network models, such as Markov state models (MSMs), are one potential solution to this problem. MSMs have recently yielded quantitative agreement with experimentally derived structures and folding rates for specific systems, leaving them positioned to potentially provide a d...

2017
Matthew P. Harrigan Vijay S. Pande

Molecular dynamics simulations of biomolecules produce a very high dimensional time-series dataset. Performing analysis necessarily involves projection onto a lower dimensional space. A priori selection of projection coordinates requires (perhaps unavailable) prior information or intuition about the system. At best, such a projection can only confirm the intuition. At worst, a poor projection c...

Journal: :The Journal of chemical physics 2012
Gregory R Bowman

Markov state models (MSMs)--or discrete-time master equation models--are a powerful way of modeling the structure and function of molecular systems like proteins. Unfortunately, MSMs with sufficiently many states to make a quantitative connection with experiments (often tens of thousands of states even for small systems) are generally too complicated to understand. Here, I present a bayesian ag...

Journal: :Journal of chromatography. A 2010
Davy Guillarme Cristina Casetta Carlo Bicchi Jean-Luc Veuthey

The analysis of polyphenols in tea extracts is important due to their potential health benefits. Therefore, efficient and high throughput analytical methods have been developed for the separation of seven predominant polyphenols, also known as catechin derivatives, present in tea extracts. Columns packed with sub-2-μm particles operating at elevated pressure (UHPLC strategy) were selected to im...

Journal: :ACS chemical neuroscience 2013
Nico J Reinhoud Hendrik-Jan Brouwer Lusi M van Heerwaarden Gerdien A H Korte-Bouws

The applicability of microbore ultrahigh performance liquid chromatography (UHPLC) with electrochemical detection for offline analysis of a number of well-known neurotransmitters in less than 10 μL microdialysis fractions is described. Two methods are presented for the analysis of monoamine or amino acid neurotransmitters, using the same UHPLC instrument. Speed of analysis of noradrenaline (NA)...

Journal: :Bioinformatics 2005
Jayson Falkner Philip C. Andrews

MOTIVATION Comparing tandem mass spectra (MSMS) against a known dataset of protein sequences is a common method for identifying unknown proteins; however, the processing of MSMS by current software often limits certain applications, including comprehensive coverage of post-translational modifications, non-specific searches and real-time searches to allow result-dependent instrument control. Thi...

Journal: :Journal of causal inference 2021

Abstract Marginal structural models (MSMs) can be used to estimate the causal effect of a potentially time-varying treatment in presence time-dependent confounding via weighted regression. The standard approach using inverse probability weighting (IPTW) sensitive model misspecification and lead high-variance estimates due extreme weights. Various methods have been proposed partially address thi...

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