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  1. 1.   Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions
  2. Liu, Ge; Carter, Brandon; Bricken, Trenton; Jain, Siddhartha; Viard,Mathias; Carrington,Mary; Gifford, David K
  3. Cell systems. 2020, AUG 26; 11(2): 131-144.e6.
  1. 2.   Self-Assembling RNA Nanorings Based on RNAI/II Inverse Kissing Complexes
  2. Grabow, W. W.; Zakrevsky, P.; Afonin, K. A.; Chworos, A.; Shapiro, B. A.; Jaeger, L.
  3. Nano Letters. 2011, Feb; 11(2): 878-887.
  1. 3.   Nodal Signaling Recruits the Histone Demethylase Jmjd3 to Counteract Polycomb-Mediated Repression at Target Genes
  2. Dahle, O.; Kumar, A.; Kuehn, M. R.
  3. Science Signaling. 2010, Jun; 3(127): 8.
  1. 4.   Conformationally constrained analogues of diacylglycerol. 29. Cells sort diacylglycerol-lactone chemical zip codes to produce diverse and selective biological activities
  2. Duan, D.; Sigano, D. M.; Kelley, J. A.; Lai, C. C.; Lewin, N. E.; Kedei, N.; Peach, M. L.; Lee, J.; Abeyweera, T. P.; Rotenberg, S. A.; Kim, H.; Kim, Y. H.; El Kazzouli, S.; Chung, J. U.; Young, H. A.; Young, M. R.; Baker, A.; Colburn, N. H.
  3. Journal of Medicinal Chemistry. 2008 51(17): 5198-5220.
  1. 5.   SAR by oxime-containing peptide libraries: Application to Tsg101 ligand optimization
  2. Liu, F.; Stephen, A. G.; Waheed, A. A.; Aman, M. J.; Freed, E. O.; Fisher, R. J.; Burke, T. R.
  3. Chembiochem. 2008 9(12): 2000-2004.
  1. 6.   Synthesis of a homologous series of side-chain-extended orthogonally protected aminooxy-containing amino acids
  2. Liu, F.; Thomas, J.; Burke, T. R.
  3. Synthesis-Stuttgart. 2008 (15): 2432-2438.
  1. 7.   Biomedicinals from the phytosymbionts of marine invertebrates: A molecular approach
  2. Dunlap, W. C.; Battershill, C. N.; Liptrot, C. H.; Cobb, R. E.; Bourne, D. G.; Jaspars, M.; Long, P. F.; Newman, D. J.
  3. Methods. 2007, Aug; 42(4): 358-376.
  1. 8.   Small molecule inhibitors of Apaf-1-related caspase-3/-9 activation that control mitochondrial-dependent apoptosis
  2. Malet, G.; Martin, A. G.; Orzaez, M.; Vicent, M. J.; Masip, I.; Sanclimens, G.; Ferrer-Montiel, A.; Mingarro, I.; Messeguer, A.; O Fearnhead, H.; Perez-Paya, E.
  3. Cell Death and Differentiation. 2006, Sep; 13(9): 1523-1532.
  1. 9.   The use of phage-displayed peptide libraries to develop tumor-targeting drugs
  2. Krumpe, L. R. H.; Mori, T.
  3. International Journal of Peptide Research and Therapeutics. 2006, Mar; 12(1): 79-91.
  1. 10.   Natural products as drug leads: An old process or the new hope for drug discovery?
  2. Kingston, D. G. I.; Newman, D. J.
  3. Idrugs. 2005, DEC; 8(12): 990-992.
  1. 11.   Combinatorial docking approach for structure prediction of large proteins and multi-molecular assemblies
  2. Inbar, Y.; Benyamini, H.; Nussinov, R.; Wolfson, H. J.
  3. Physical Biology. 2005, DEC; 2(4, Sp. Iss.): S156-S165.
  1. 12.   International collaboration in drug discovery and development from natural sources
  2. Cragg, G. M.; Newman, D. J.
  3. Pure and Applied Chemistry. 2005, NOV; 77(11): 1923-1942.
  1. 13.   Cooperating cancer-gene identification through oncogenic-retrovirus-induced insertional mutagenesis
  2. Du, Y.; Spence, S. E.; Jenkins, N. A.; Copeland, N. G.
  3. Blood. 2005, OCT 1; 106(7): 2498-2505.
  1. 14.   Prediction of multimolecular assemblies by multiple docking
  2. Inbar, Y.; Benyamini, H.; Nussinov, R.; Wolfson, H. J.
  3. Journal of Molecular Biology. 2005, JUN 3; 349(2): 435-447.
  1. 15.   Making the most of affinity tags
  2. Waugh, D. S.
  3. Trends in Biotechnology. 2005, JUN; 23(6): 316-320.
  1. 16.   The search for novel drug leads for predominately antitumor therapies by utilizing mother nature's pharmacophoric libraries
  2. Kingston, D. G. I.; Newman, D. J.
  3. Current Opinion in Drug Discovery & Development. 2005, MAR; 8(2): 207-227.
  1. 17.   Prediction of multi-molecular assemblies and protein structures by multiple combinatorial docking
  2. Inbar, Y.; Nussinov, R.; Wolfson, H.
  3. Biophysical Journal. 2005, JAN; 88(1, Part 2, Suppl. S): 198A-198A.
  1. 18.   Biodiversity: A continuing source of novel drug leads
  2. Cragg, G. M.; Newman, D. J.
  3. Pure and Applied Chemistry. 2005, JAN; 77(1): 7-24.
  1. 19.   Multiple docking for protein structure prediction
  2. Inbar, Y.; Wolfson, H. J.; Nussinov, R.
  3. International Journal of Robotics Research. 2005, FEB-MAR; 24(2-3): 131-150.
  1. 20.   In silico protein design by combinatorial assembly of protein building blocks
  2. Tsai, H. H.; Tsai, C. J.; Ma, B. Y.; Nussinov, R.
  3. Protein Science. 2004, OCT; 13(10): 2753-2765.
  1. 21.   The discovery of protein kinase C (PK-C) isozyme: Specific ligands driven by a solid-phase combinatorial synthesis of diacylglycerol-lactones (DAG-lactones)
  2. Duan, D. H.; Peach, M. L.; Lai, C. C.; Lewin, N. E.; Kelley, J. A.; Blumberg, P. M.; Marquez, V. E.
  3. Abstracts of Papers of the American Chemical Society. 2004, AUG 22; 228(Part 1): 177-MEDI, Abstract U939-177-MEDI, Abstract U939.
  1. 22.   Combinatorial synthesis, quality control and biological evaluation of diacylglycerol (DAG)-lactone libraries - Protein kinase C (PKC)-isozyme-specific ligands
  2. Duan, D.; Lai, C. C.; Kelley, J. A.; Lewin, N. E.; Blumberg, P. M.; Marquez, V. E.
  3. Abstracts of Papers of the American Chemical Society. 2004, MAR 28; 227(033-MEDI, Part 2): U10-U10.
  1. 24.   Cancer-specific ligands identified from screening of peptide-display libraries
  2. Mori, T.
  3. Current Pharmaceutical Design. 2004 10(19): 2335-2343.
  1. 25.   Predicting molecular interactions in silico: I. A guide to pharmacophore identification and its applications to drug design
  2. Dror, O.; Shulman-Peleg, A.; Nussinov, R.; Wolfson, H. J.
  3. Current Medicinal Chemistry. 2004 11(1): 71-90.
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