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  1. 1.   Combinatorial screen with apoptosis pathway targeted agents alrizomadlin, pelcitoclax, and dasminapant in multi-cell type tumor spheroids
  2. Coussens,Nathan; Dexheimer,Thomas; Silvers,Thomas; Sanchez,Phillip; Chen,Li; Hollingshead, Melinda G; Takebe, Naoko; Doroshow, James H; Teicher, Beverly A
  3. SLAS Discovery : advancing life sciences R & D. 2025, Apr 08; 100230.
  1. 2.   A practical guide to large-scale docking
  2. Bender, Brian J.; Gahbauer, Stefan; Luttens, Andreas; Lyu, Jiankun; Webb, Chase M.; Stein, Reed M.; Fink, Elissa A.; Balius,Trent; Carlsson, Jens; Irwin, John J.; Shoichet, Brian K.
  3. Nature protocols. 2021, Oct; 16(10): 4799-4832.
  1. 3.   Modeling ligand docking to RNA in the design of RNA-based nanostructures
  2. Kasprzak,Wojciech; Ahmed, Nour Ali; Shapiro,Bruce
  3. Current opinion in biotechnology. 2020, JUN; 63: 16-25.
  1. 4.   Automatic nuclei segmentation and spatial FISH analysis for cancer detection
  2. Nandy, K.; Gudla, P. R.; Meaburn, K. J.; Misteli, T.; Lockett, S. J.
  3. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2009 2009: 6718-21.
  1. 5.   Molecular modeling the reaction mechanism of serine-carboxyl peptidases
  2. Bravaya, K.; Bochenkova, A.; Grigorenko, B.; Topol, I.; Burt, S.; Nemukhin, A.
  3. Journal of Chemical Theory and Computation. 2006, Jul; 2(4): 1168-1175.
  1. 6.   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. 7.   Predicting molecular interactions in silico: II. Protein- protein and protein-drug docking
  2. Schneidman-Duhovny, D.; Nussinov, R.; Wolfson, H. J.
  3. Current Medicinal Chemistry. 2004 11(1): 91-107.
  1. 8.   Glycine N-methyltransferase tumor susceptibility gene in the benzo(a)pyrene-detoxification pathway
  2. Chen, S. Y.; Lin, J. R. V.; Darbha, R.; Lin, P. P.; Liu, T. Y.; Chen, Y. M. A.
  3. Cancer Research. 2004 64(10): 3617-3623.
  1. 9.   Examination of shape complementarity in docking of unbound proteins
  2. Norel, R.; Petrey, D.; Wolfson, H. J.; Nussinov, R.
  3. Proteins. 1999 36(3): 307-317.
  1. 10.   Growth of HPV-18 immortalized human prostatic intraepithelial neoplasia cell lines. Influence of IL-10, follistatin, activin-A, and DHT
  2. Wang, M.; Liu, A.; Garcia, F. U.; Rhim, J. S.; Stearns, M. E.
  3. International Journal of Oncology. 1999 14(6): 1185-1195.
  1. 11.   Efficient computational algorithms for docking and for generating and matching a library of functional epitopes - I. Rigid and flexible hinge-bending docking algorithms
  2. Nussinov, R.; Wolfson, H. J.
  3. Combinatorial Chemistry & High Throughput Screening. 1999 2(5): 249-259.
  1. 12.   Molecular Shape Comparisons in Searches For Active Sites and Functional Similarity
  2. Rosen, M.; Lin, S. L.; Wolfson, H.; Nussinov, R.
  3. Protein Engineering. 1998 11(4): 263-277.
  1. 13.   Flexible Docking Allowing Induced Fit in Proteins - Insights From an Open to Closed Conformational Isomers
  2. Sandak, B.; Wolfson, H. J.; Nussinov, R.
  3. Proteins-Structure Function and Genetics. 1998 32(2): 159-174.
  1. 14.   A method for biomolecular structural recognition and docking allowing conformational flexibility
  2. Sandak, B.; Nussinov, R.; Wolfson, H. J.
  3. Journal of Computational Biology. 1998 5(4): 631-654.
  1. 15.   A Monte Carlo Method For Finding Important Ligand Fragments From Receptor Data
  2. Burt, S.; Hutchins, C.; Zielinski, P. J.
  3. Journal of Computer-Aided Molecular Design. 1997 11(3): 243-255.
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