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  1. 1.   Transcriptomic analysis of an in vitro murine model of ovarian carcinoma: Functional similarity to the human disease and identification of prospective tumoral markers and targets
  2. Urzua, U.; Roby, K. F.; Gangi, L. M.; Cherry, J. M.; Powell, J. I.; Munroe, D. J.
  3. Journal of Cellular Physiology. 2006, MAR; 206(3): 594-602.
  1. 2.   Association of strong virus-specific CD4 T cell responses with efficient natural control of primary HIV-1 infection
  2. Gloster, S. E.; Newton, P.; Cornforth, D.; Lifson, J. D.; Williams, I.; Shaw, G. M.; Borrow, P.
  3. Aids. 2004 18(5): 749-755.
  1. 3.   On the detection of multiple-binding modes of ligands to proteins, from biological, structural, and modeling data
  2. Lewis, P. J.; de Jonge, M.; Daeyaert, F.; Koymans, L.; Vinkers, M.; Heeres, J.; Janssen, P. A. J.; Arnold, E.; Das, K.; Clark, A. D.; Hughes, S. H.; Boyer, P. L.; de Bethune, M. P.; Pauwels, R.; Andries, K.; Kukla, M.; Ludovici, D.; De Corte, B.; Kavash, R.; Ho, C.
  3. Journal of Computer-Aided Molecular Design. 2003 17(2): 129-134.
  1. 4.   Favorable Domain Size in Proteins
  2. Xu, D.; Nussinov, R.
  3. Folding and Design. 1998 3(1): 11-17.
  1. 5.   Designing an In Vivo Efficacy Study of Nanomedicines for Preclinical Tumor Growth Inhibition
  2. Adiseshaiah, Pavan; Stern, Steve
  3. Methods in molecular biology (Clifton, N.J.). 2018 1682: 241-253.
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