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  1. 1.   Structure of the HIV immature lattice allows for essential lattice remodeling within budded virions
  2. Guo, Sikao; Saha,Ipsita; Saffarian, Saveez; Johnson, Margaret E
  3. eLife. 2023, Jul 12; 12
  1. 2.   Gene network landscape of mouse splenocytes reveals integrin complex as the A151 ODN-responsive hub molecule in the immune transcriptome
  2. Yazar, Volkan; Yilmaz, Ismail Cem; Bulbul, Artun; Klinman, Dennis M; Gursel, Ihsan
  3. Molecular Therapy. Nucleic Acids. 2023, Mar 14; 31: 553-565.
  1. 3.   Single-cell transcriptomes underscore genetically distinct tumor characteristics and microenvironment for hereditary kidney cancers
  2. Jikuya, Ryosuke; Murakami, Koichi; Nishiyama, Akira; Kato, Ikuma; Furuya, Mitsuko; Nakabayashi, Jun; Ramilowski, Jordan A; Hamanoue, Haruka; Maejima, Kazuhiro; Fujita, Masashi; Mitome, Taku; Ohtake, Shinji; Noguchi, Go; Kawaura, Sachi; Odaka, Hisakazu; Kawahara, Takashi; Komeya, Mitsuru; Shinoki, Risa; Ueno, Daiki; Ito, Hiroki; Ito, Yusuke; Muraoka, Kentaro; Hayashi, Narihiko; Kondo, Keiichi; Nakaigawa, Noboru; Hatano, Koji; Baba, Masaya; Suda, Toshio; Kodama, Tatsuhiko; Fujii, Satoshi; Makiyama, Kazuhide; Yao, Masahiro; Shuch, Brian M; Schmidt,Laura; Linehan, W Marston; Nakagawa, Hidewaki; Tamura, Tomohiko; Hasumi, Hisashi
  3. iScience. 2022, Jun 17; 25(6): 104463.
  1. 4.   Harnessing endophenotypes and network medicine for Alzheimer's drug repurposing
  2. Fang, Jiansong; Pieper, Andrew A.; Nussinov,Ruth; Lee, Garam; Bekris, Lynn; Leverenz, James B.; Cummings, Jeffrey; Cheng, Feixiong
  3. Medicinal research reviews. 2020, NOV; 40(6): 2386-2426.
  1. 5.   Tailored design of protein nanoparticle scaffolds for multivalent presentation of viral glycoprotein antigens
  2. Ueda, George; Antanasijevic, Aleksandar; Fallas, Jorge A; Sheffler, William; Copps, Jeffrey; Ellis, Daniel; Hutchinson, Geoffrey B; Moyer, Adam; Yasmeen, Anila; Tsybovsky,Yaroslav; Park, Young-Jun; Bick, Matthew J; Sankaran, Banumathi; Gillespie, Rebecca A; Brouwer, Philip Jm; Zwart, Peter H; Veesler, David; Kanekiyo, Masaru; Graham, Barney S; Sanders, Rogier W; Moore, John P; Klasse, Per Johan; Ward, Andrew B; King, Neil P; Baker, David
  3. eLife. 2020, Aug 04; 9: pii: 9:e57659.
  1. 6.   A Systems Chemoproteomic Analysis of Acyl-CoA/Protein Interaction Networks
  2. Levy, Michaella J; Montgomery, David C; Sardiu, Mihaela E; Montano,Jose; Bergholtz, Sarah E; Nance,Kellie; Thorpe,Abbey; Fox,Stephen; Lin, Qishan; Andresson,Thorkell; Florens, Laurence; Washburn, Michael P; Meier,Jordan
  3. Cell chemical biology. 2020, MAR 19; 27(3): 322-+.
  1. 7.   Decreased antibiotic susceptibility driven by global remodeling of the Klebsiella pneumoniae proteome
  2. Keasey, Sarah L; Suh, Moo-Jin; Das, Sudipto; Blancett, Candace D; Zeng, Xiankun; Andresson, Thorkell; Sun, Mei G; Ulrich, Robert G
  3. Molecular & cellular proteomics : MCP. 2019, Apr; 18(4): 657-668.
  1. 8.   Lessons from CKD-Related Genetic Association Studies-Moving Forward
  2. Limou, Sophie; Vince, Nicolas; Parsa, Afshin
  3. Clinical journal of the American Society of Nephrology : CJASN. 2018, Jan 6; 13(1): 140-152.
  1. 9.   The Reactive Species Interactome: Evolutionary Emergence, Biological Significance, and Opportunities for Redox Metabolomics and Personalized Medicine
  2. Cortese-Krott, Miriam M.; Koning, Anne; Kuhnle, Gunter G. C.; Nagy, Peter; Bianco, Christopher L.; Pasch, Andreas; Wink, David; Fukuto, Jon M.; Jackson, Alan A.; van Goor, Harry; Olson, Kenneth R.; Feelisch, Martin
  3. Antioxidants & Redox Signaling. 2017, Oct 1; 27(10): 684-712.
  1. 10.   Cancer stem cells: a systems biology view of their role in prognosis and therapy
  2. Mertins, S. D.
  3. Anti-Cancer Drugs. 2014, Apr; 25(4): 353-67.
  1. 11.   A formal MIM specification and tools for the common exchange of MIM diagrams: an XML-Based format, an API, and a validation method
  2. Luna, A.; Karac, E. I.; Sunshine, M.; Chang, L.; Nussinov, R.; Aladjem, M. I.; Kohn, K. W.
  3. Bmc Bioinformatics. 2011, May; 12: 13.
  1. 12.   Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example
  2. Tuncbag, N.; Kar, G.; Gursoy, A.; Keskin, O.; Nussinov, R.
  3. Molecular Biosystems. 2009 5(12): 1770-1778.
  1. 13.   Topological properties of protein interaction networks from a structural perspective
  2. Gursoy, A.; Keskin, O.; Nussinov, R.
  3. Biochemical Society Transactions. 2008 36: 1398-1403.
  1. 14.   Parallel analysis of transcript and translation profiles: Identification of metastasis-related signal pathways differentially regulated by drug and genetic modifications
  2. Yang, H. Y.; Yu, L. R.; Yi, M.; Lucas, D. A.; Lukes, L.; Lancaster, M.; Chan, K. C.; Issaq, H. J.; Stephens, R. M.; Conrads, T. P.; Veenstra, T. D.; Hunter, K. W.
  3. Journal of Proteome Research. 2006, Jul; 5(7): 1555-1567.
  1. 15.   Protein-protein interactions: organization, cooperativity and mapping in a bottom-up Systems Biology approach
  2. Keskin, O.; Ma, B. Y.; Rogale, K.; Gunasekaran, K.; Nussinov, R.
  3. Physical Biology. 2005, JUN; 2(2): S24-S35.
  1. 16.   Human ORFeome version 1.1: A platform for reverse proteomics
  2. Rual, J. F.; Hirozane-Kishikawa, T.; Hao, T.; Bertin, N.; Li, S. M.; Dricot, A.; Li, N.; Rosenberg, J.; Lamesch, P.; Vidalain, P. O.; Clingingsmith, T. R.; Hartley, J. L.; Esposito, D.; Cheo, D.; Moore, T.; Simmons, B.; Sequerra, R.; Bosak, S.; Doucette-Stamm, L.; Le Peuch, C.; Vandenhaute, J.; Cusick, M. E.; Albala, J. S.; Hill, D. E.; Vidal, M.
  3. Genome Research. 2004, OCT; 14(10B): 2128-2135.
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