国家纳米科学中心中科院纳米生物效应与安全性重点实验室方巧君

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姓    名:方巧君       
性    别:女
职    务:无       
职    称:研究员
通讯地址:北京市海淀区中关村北一条11号
邮政编码:100190       
电子邮件:fangqj@nanoctr.cn       
简历：
方巧君于2005年在美国约翰霍普金斯大学医学院获得生物化学博士。 2005年至2009年在约翰霍普金斯大学和 Fred Hutchinson Cancer Research Center 做博士后。2009年被Fred Hutchinson Cancer Research Center聘为正式科研人员， 主要从事蛋白结构信息学及基于蛋白组学的系统生物学研究。 2013年加入国家纳米科学中心，入选中科院“百人计划”研究员。 研究工作包括：1）结合蛋白组学、基因组学的系统生物学方法分析纳米材料的生物效应及在分子水平上的毒性和毒理；2）寻找蛋白分子标志物及其在纳米医学领域里的临床应用。
中文主页： http://www.nanoctr.cn/qiaojunfang/
研究领域：
纳米系统医学
代表论著：
1.  Drescher CW, Green A, Fang QJ, Schummer M, O’Briant K, Bergan L, Martin DB, Knudsen B, Urban N, McIntosh MW. N-glycoprotein cell surface capture proteomics identifies FOLR-1 as a promising target for molecular imaging of ovarian cancer. Clinical Cancer Research (submitted).
2.  Kani K, Faca VM, Hughes L, Zhang W, Fang QJ, Shahbaba B, Katz JE, Luethy R, Erde J, Schmidt J, Pitteri SJ, Zhang Q, Gross M, Tibshirani R, Plevrits SK, McIntosh MW. Jain A, Hanash S, Agus DB, Mallick P. Quantitative Proteomic profiling identifies protein correlates to EGFR kinase inhibition. Mol Cancer Ther. 2012 Mar 21.
3.  Fang QJ, Kani K, Faca VM, Zhang WX, Zhang Q, Jain A, Hanash S, Agus DB, McIntosh MW and Mallick P. (submitted). Impact of protein stability, cellular localization and abundance on proteomic detection of tumor-derived proteins in plasma. PLoS One 6(7):e23090. Epub 2011 Jul 29.
4.  May DH, Law W , Fitzgibbon MP, Fang QJ and McIntosh MW (2009). Software Platform for Rapidly Creating Computational Tools for Mass Spectrometry-Based Proteomics. J. Proteome Res., Vol 8 (6), pp 3212–3217.
5.  Fang QJ, Strand A, Law W, Faca VM, Fitzgibbon MP, Hamel N, Houle B, Liu X, May DH, Poschmann G, Roy L, Stuhler K, Ying W, Zhang J, Zheng Z, Bergeron JJ, Hanash S, He F, Leavitt BR, Meyer HE, Qian X, McIntosh MW (2009). Brain-specific proteins decline in the cerebrospinal fluid of humans with Huntington's Disease. Molecular and Cellular Proteomics Vol  8(3):451-66.
6.  Fang QJ and Shortle D (2006) Protein refolding in silico with atom-based statistical potentials and conformational search using a simple genetic algorithm. Journal of Molecular Biology Vol 359:1456-1467.
7.  Fang QJ and Shortle D (2005) Enhanced sampling near the native conformation using statistical potentials for local side-chain and backbone interactions Proteins: Structure, Function, and Genetics Vol60: 97-102.
8.  Fang QJ and Shortle D (2005) A consistent set of statistical potentials for quantifying local side-chain and backbone interactions Proteins: Structure, Function, and Genetics Vol 60:90-96.
9.  Fang QJ and Shortle D (2003) Prediction of protein structure by emphasizing local-sidechain/backbone interactions in ensembles of turn fragments Proteins: Structure, Function, and Genetics Vol 53: 486-490.