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9篇 您的检索式:作者名="Kate Thompson"
    题名 作者 年代 出处 被引量
1生物素——抗结核药物新研究方向(英文)显示文摘耐药菌的出现对全球公共卫生构成了巨大的挑战,结核分枝杆菌(TB)是结核病的病原菌,是临床上最重要的病原体之一。新抗生素的研发用以治疗耐药性结核病已成为临床及公共卫生管理亟待解决的重要问题。生物素(维生素B7)在结核杆菌的代谢途径如脂肪酸合成和三羧酸循环中发挥重要作用,通过生物素蛋白连接酶连接活性辅助因子而被激活。生物素蛋白连接酶及其相关生物合成通路是微生物合成生物素过程中必不可或缺的关键分子,因而有可能成为新的药物靶点。遗传研究表明,结核杆菌需要由菌体进行生物素的全程合成,因此,生物素合成酶在在结核杆菌代谢过程中起着至关重要的作用,引起了抗结核药物研究者的高度重视。本文论述了结核杆菌生物素合成通路,并重点分析了生物素合成过程中可能成为药物靶点的关键酶,旨在为结核病的治疗提供新思路,具有重要的临床意义。THOMPSON Andrew P STERNICKI Louise M WEGENER Kate L 陆伟 竺丽梅 BOOKER Grant W POLYAK Steven W 李燕 2016江苏预防医学2016,27,3:4
2production of creative protein and risk of coronary events instable and unstable angia:European concerted action on thrombosis and disabilities angina pectoris study grupe显示文摘Haver kate F Thompson SG pyke SDM 1997Lancet1997,,349:1
3Mu- sic's relevance for adolescents and young adults with can- cer: a construetivist research approach显示文摘Clare O'Callaghan Philippa Barry Kate Thompson 2012Supportive care in cancer2012,20,4:1
4Aerobic exercise training reduces hepatic and visceral lipids in obese individuals without weight loss显示文摘Nathan A. Johnson Toos Sachinwalla David W. Walton Kate Smith Ashley Armstrong Martin W. Thompson Jacob George 2009Hepatology2009,,4:1
5Gene expression in implanted rat hepatocytes following retroviral-mediated gene transfer显示文摘Kathryn D. Anderson John A. Thompson Judith M. DiPietro Kate T. Montgomery Lola M. Reid W. French Anderson 1989Somatic Cell and Molecular Genetics1989,,3:1
6Factors Associated With Poor Outcomes Following Unicompartmental Knee Arthroplasty显示文摘Scott A.J. Thompson Barthelemy Liabaud Kate W. Nellans Jeffrey A. Geller 2013The Journal of Arthroplasty2013,,:1
7Testing for bias between the Kjeldahl and Dumas methods for the determination of nitrogen in meat mixtures,by using data from a designed interlaboratory experiment显示文摘Thompson Michael Owen Linda Wilkinson Kate 2004Meat Science2004,68,4:1
8The relationship between unmet needs and distress amongst young people with cancer显示文摘Gavin J Kate Thompson Susan Palmer 0,,:1
9A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning显示文摘The application of machine learning models to predict material properties is determined by the availability of high-quality data.We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by a.c.impedance spectroscopy.This dataset has 820 entries collected from 214 sources;entries contain a chemical composition,an expert-assigned structural label,and ionic conductivity at a specific temperature(from 5 to 873°C).There are 403 unique chemical compositions with an associated ionic conductivity near room temperature(15–35°C).The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element Movers Distance.This dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic conductivity.This classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors.Cameron J.Hargreaves Michael W.Gaultois Luke M.Daniels Emma J.Watts Vitaliy A.Kurlin Michael Moran Yun Dang Rhun Morris Alexandra Morscher Kate Thompson Matthew A.Wright Beluvalli-Eshwarappa Prasad Frédéric Blanc Chris M.Collins Catriona A.Crawford Benjamin B.Duff Jae Evans Jacinthe Gamon Guopeng Han Bernhard T.Leube Hongjun Niu Arnaud J.Perez Aris Robinson Oliver Rogan Paul M.Sharp Elvis Shoko Manel Sonni William J.Thomas Andrij Vasylenko Lu Wang Matthew J.Rosseinsky Matthew S.Dyer 2023npj Computational Materials2023,,1:0
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