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  1. 1.   The upcoming subatomic resolution revolution
  2. Cachau,Raul; Zhu,Jianghai; Nicklaus,Marc
  3. Current opinion in structural biology. 2019, Oct; 58: 53-58.
  1. 2.   PDB Ligand Conformational Energies Calculated Quantum-Mechanically
  2. Sitzmann, M.; Weidlich, I. E.; Filippov, I. V.; Liao, C.; Peach, M. L.; Ihlenfeldt, W. D.; Karki, R. G.; Borodina, Y. V.; Cachau, R. E.; Nicklaus, M. C.
  3. Journal of Chemical Information and Modeling. 2012, Mar; 52(3): 739-756.
  1. 3.   NCAD, a Database Integrating the Intrinsic Conformational Preferences of Non-Coded Amino Acids
  2. Revilla-Lopez, G.; Torras, J.; Curco, D.; Casanovas, J.; Calaza, M. I.; Zanuy, D.; Jimenez, A. I.; Cativiela, C.; Nussinov, R.; Grodzinski, P.; Aleman, C.
  3. Journal of Physical Chemistry B. 2010, Jun; 114(21): 7413-7422.
  1. 4.   Chemical compound navigator: A web-based chem-BLAST, chemical taxonomy-based search engine for browsing compounds
  2. Prasanna, M. D.; Vondrasek, J.; Wlodawer, A.; Rodriguez, H.; Bhat, T. N.
  3. Proteins-Structure Function and Bioinformatics. 2006, Jun; 63(4): 907-917.
  1. 5.   Structural and dynamical classification of RNA single-base bulges for nanostructure design
  2. Hastings, W. A.; Yingling, Y. G.; Chirikjian, G. S.; Shapiro, B. A.
  3. Journal of Computational and Theoretical Nanoscience. 2006, FEB; 3(1): 63-77.
  1. 6.   Crystal structure of the N-terminal domain of E-coli Lon protease
  2. Li, M.; Rasulova, F.; Melnikov, E. E.; Rotanova, T. V.; Gustchina, A.; Maurizi, M. R.; Wlodawer, A.
  3. Protein Science. 2005, NOV; 14(11): 2895-2900.
  1. 7.   Application of InChI to curate, index, and query 3-D structures
  2. Prasanna, M. D.; Vondrasek, J.; Wlodawer, A.; Bhat, T. N.
  3. Proteins-Structure Function and Bioinformatics. 2005, JUL 1; 60(1): 1-4.
  1. 8.   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. 9.   Flexible protein alignment and hinge detection
  2. Shatsky, M.; Nussinov, R.; Wolfson, H. J.
  3. Proteins-Structure Function and Genetics. 2002 48(2): 242-256.
  1. 10.   Synthesis and evaluation of the sunflower derived trypsin inhibitor as a potent inhibitor of the type II transmembrane serine protease, matriptase
  2. Long, Y. Q.; Lee, S. L.; Lin, C. Y.; Enyedy, I. J.; Wang, S. M.; Li, P.; Dickson, R. B.; Roller, P. P.
  3. Bioorganic & Medicinal Chemistry Letters. 2001 11(18): 2515-2519.
  1. 11.   MUSTA - A general, efficient, automated method for multiple structure alignment and detection of common motifs: Application to proteins
  2. Leibowitz, N.; Nussinov, R.; Wolfson, H. J.
  3. Journal of Computational Biology. 2001 8(2): 93-121.
  1. 12.   Distinguishing between sequential and nonsequentially folded proteins: Implications for folding and misfolding
  2. Tsai, C. J.; Maizel, J. V.; Nussinov, R.
  3. Protein Science. 1999 8(8): 1591-1604.
  1. 13.   Efficient computational algorithms for docking and for generating and matching a library of functional epitopes - II. Computer vision-based techniques for the generation and utilization of functional epitopes
  2. Nussinov, R.; Wolfson, H. J.
  3. Combinatorial Chemistry & High Throughput Screening. 1999 2(5): 261-269.
  1. 14.   Protein Folding Via Binding and Vice Versa
  2. Tsai, C. J.; Xu, D.; Nussinov, R.
  3. Folding and Design. 1998 3(4): R 71-R 80.
  1. 15.   Structural Motifs At Protein-Protein Interfaces - Protein Cores Versus Two-State and Three-State Model Complexes
  2. Tsai, C. J.; Xu, D.; Nussinov, R.
  3. Protein Science. 1997 6(9): 1793-1805.
  1. 16.   Prediction of Protein Supersecondary Structures Based On the Artificial Neural Network Method
  2. Sun, Z. R.; Rao, X. Q.; Peng, L. W.; Xu, D.
  3. Protein Engineering. 1997 10(7): 763-769.
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