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  1. 1.   A close look onto structural models and primary ligands of metallo-beta-plactamases
  2. Raczynska, Joanna E.; Shabalin, Ivan G.; Minor, Wladek; Wlodawer,Alexander; Jaskolski, Mariusz
  3. Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy. 2018, Sep; 40: 1-12.
  1. 2.   Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
  2. Karcher, Sandra; Willighagen, Egon L.; Rumble, John; Ehrhart, Friederike; Evelo, Chris T.; Fritts, Martin; Gaheen, Sharon; Harper, Stacey L.; Hoover, Mark D.; Jeliazkova, Nina; Lewinski, Nastassja; Robinson, Richard L. Marchese; Mills, Karmann C.; Mustad, Axel P.; Thomas, Dennis G.; Tsiliki, Georgia; Hendren, Christine Ogilvie
  3. NanoImpact. 2018, Jan; 9: 85-101.
  1. 3.   Novel Approach for Efficient Pharmacophore-Based Virtual Screening: Method and Applications
  2. Dror, O.; Schneidman-Duhovny, D.; Inbar, Y.; Nussinov, R.; Wolfson, H. J.
  3. Journal of Chemical Information and Modeling. 2009 49(10): 2333-2343.
  1. 4.   Individualizing cancer care with interoperable information systems
  2. McCormick, K. A.
  3. Studies in Health Technology and Informatics. 2009 146: 383-390.
  1. 5.   Organizing, exploring, and analyzing antibody sequence data: the case for relational-database managers
  2. Owens, J.
  3. Methods in molecular biology (Clifton, N.J.). 2009 525: 569-80, xiv.
  1. 6.   Protocols for the in silico design of RNA nanostructures
  2. Shapiro, B. A.; Bindewald, E.; Kasprzak, W.; Yingling, Y.
  3. Methods in molecular biology (Clifton, N.J.). 2008 474: 93-115.
  1. 7.   Internet resources integrating many small-molecule databases
  2. Sitzmann, M.; Filippov, I. V.; Nicklaus, M. C.
  3. SAR and QSAR in Environmental Research. 2008 19(1-2): 1-9.
  1. 8.   Anticancer medicines in development: assessment of bioactivity profiles within the National Cancer Institute anticancer screening data
  2. Covell, D. G.; Huang, R. L.; Wallqvist, A.
  3. Molecular Cancer Therapeutics. 2007, Aug; 6(8): 2261-2270.
  1. 9.   Data mining of NCI's anticancer screening database reveals mitochondrial complex I inhibitors cytotoxic to leukemia cell lines
  2. Glover, C. J.; Rabow, A. A.; Isgor, Y. G.; Shoemaker, R. H.; Covell, D. G.
  3. Biochemical Pharmacology. 2007, Feb; 73(3): 331-340.
  1. 10.   Chemoinformatic analysis of NCI preclinical tumor data: Evaluating compound efficacy from mouse xenograft data, NCI-60 screening data, and compound descriptors
  2. Wallqvist, A.; Huang, R. L.; Covell, D. G.
  3. Journal of Chemical Information and Modeling. 2007, Jul-Aug; 47(4): 1414-1427.
  1. 11.   Chemical structure indexing of toxicity data on the Internet: Moving toward a flat world
  2. Richard, A. M.; Gold, L. S.; Nicklaus, M. C.
  3. Current Opinion in Drug Discovery & Development. 2006, May; 9(3): 314-325.
  1. 12.   Assessment of in vitro and in vivo activities in the National Cancer Institute's anticancer screen with respect to chemical structure, target specificity, and mechanism of action
  2. Huang, R. L.; Wallqvist, A.; Covell, D. G.
  3. Journal of Medicinal Chemistry. 2006, Mar; 49(6): 1964-1979.
  1. 13.   WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data
  2. Yi, M.; Horton, J. D.; Cohen, J. C.; Hobbs, H. H.; Stephens, R. M.
  3. Bmc Bioinformatics. 2006, JAN 19; 7
  1. 14.   Evaluating chemical structure similarity as an indicator of cellular growth inhibition
  2. Wallqvist, A.; Huang, R. L.; Thanki, N.; Covell, D. G.
  3. Journal of Chemical Information and Modeling. 2006, JAN-FEB; 46(1): 430-437.
  1. 15.   Analysis of albumin-associated peptides and proteins from ovarian cancer patients
  2. Lowenthal, M. S.; Mehta, A. I.; Frogale, K.; Bandle, R. W.; Araujo, R. P.; Hood, B. L.; Veenstra, T. D.; Conrads, T. P.; Goldsmith, P.; Fishman, D.; Petricoin, E. F.; Liotta, L. A
  3. Clinical Chemistry. 2005, OCT; 51(10): 1933-1945.
  1. 16.   Hereditary leiomyomatosis associated with bilateral, massive, macronodular adrenocortical disease and atypical Cushing syndrome: A clinical and molecular genetic investigation
  2. Matyakhina, L.; Freedman, R. J.; Bourdeau, I.; Wei, M. H.; Stergiopoulos, S. G.; Chidakel, A.; Walther, M.; bu-Asab, M.; Tsokos, M.; Keil, M.; Toro, J.; Linehan, W. M.; Stratakis, C. A.
  3. Journal of Clinical Endocrinology & Metabolism. 2005, JUN; 90(6): 3773-3779.
  1. 17.   Linking tumor cell cytotoxicity to mechanism of drug action: An integrated analysis of gene expression, small-molecule screening and structural databases
  2. Covell, D. G.; Wallqvist, A.; Huang, R. L.; Thanki, N.; Rabow, A. A.; Lu, X. J.
  3. Proteins-Structure Function and Bioinformatics. 2005, MAY 15; 59(3): 403-433.
  1. 18.   New web services of public small-molecule databases, tools, and identifiers
  2. Nicklaus, M. C.; Sitzmann, M.; Ihlenfeldt, W. D.
  3. Abstracts of Papers of the American Chemical Society. 2005, MAR 13; 229(111-CINF, Part 1): U613-U613.
  1. 19.   RTCGD: retroviral tagged cancer gene database
  2. Akagi, K.; Suzuki, T.; Stephens, R. M.; Jenkins, N. A.; Copeland, N. G.
  3. Nucleic Acids Research. 2004 32(Sp. Iss., Database Issue): D523-D527.
  1. 20.   A high-density admixture map for disease gene discovery in African Americans
  2. Smith, M. W.; Patterson, N.; Lautenberger, J. A.; Truelove, A. L.; McDonald, G. J.; Waliszewska, A.; Kessing, B. D.; Malasky, M. J.; Scafe, C.; Le, E.; De Jager, P. L.; Mignault, A. A.; Yi, Z.; de The, G.; Essex, M.; Sankale, J. L.; Moore, J. H.; Poku, K.; Phair, J. P.; Goedert, J. J.; Vlahov, D.; Williams, S. M.; Tishkoff, S. A.; Winkler, C. A.; De La Vega, F. M.; Woodage, T.; Sninsky, J. J.; Hafler, D. A.; Altshuler, D.; Gilbert, D. A.; O'Brien, S. J.; Reich, D.
  3. American Journal of Human Genetics. 2004 74(5): 1001-1013.
  1. 21.   SNP500Cancer: a public resource for sequence validation and assay development for genetic variation in candidate genes
  2. Packer, B. R.; Yeager, M.; Staats, B.; Welch, R.; Crenshaw, A.; Kiley, M.; Eckert, A.; Beerman, M.; Miller, E.; Bergen, A.; Rothman, N.; Strausberg, R.; Chanock, S. J.
  3. Nucleic Acids Research. 2004 32: D528-D532.
  1. 22.   Looking for cancer clues in publicly accessible databases
  2. Medjahed, D.; Lemkin, P. F.; Smythers, G. W.; Munroe, D. J.
  3. Comparative and Functional Genomics. 2004 5(2): 196-200.
  1. 23.   Finding patterns in three-dimensional graphs: Algorithms and applications to scientific data mining
  2. Wang, X.; Wang, J. T. L.; Shasha, D.; Shapiro, B. A.; Rigoutsos, I.; Zhang, K. Z.
  3. Ieee Transactions on Knowledge and Data Engineering. 2002 14(4): 731-749.
  1. 24.   Homology modeling and molecular dynamics simulations of lymphotactin
  2. Buyong, Xiong J.; Lubkowski, J.; Nussinov, R.
  3. Protein Science. 2000 9(11): 2192-2199.
  1. 25.   Exploratory data analysis groupware for qualitative and quantitative electrophoretic gel analysis over the Internet-WebGel
  2. Lemkin, P. F.; Myrick, J. M.; Lakshmanan, Y.; Shue, M. J.; Patrick, J. L.; Hornbeck, P. V.; Thornwal, G. C.; Partin, A. W.
  3. Electrophoresis. 1999 20(18): 3492-3507.
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