Supporting Information (Part II) for ACS Combinatorial Science
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1 Supporting Information (Part II) for ACS Combinatorial Science Application of 6,7Indole Aryne Cycloaddition and Pd(0)Catalyzed SuzukiMiyaura and BuchwaldHartwig CrossCoupling Reactions for the Preparation of Annulated Indole Libraries Paul D. Thornton, 2 Neil Brown, 1,2 David Hill, 2 Ben Neuenswander, 2 Gerald H. Lushington, 2 Conrad Santini 2 and Keith R. Buszek 1,2* 1 Department of Chemistry, University of Missouri, 5100 Rockhill Road, Kansas City, MO Center of Excellence in Chemical Methodologies and Library Development, University of Kansas, 2034 Becker Drive, Lawrence, KS buszekk@umkc.edu Contents: 1. General experimental procedures: S2S3 a. General: S2 b. Procedure for SuzukiMiyaura CrossCoupling Reactions: S2S3 c. Procedure for BuchwaldHartwig CrossCoupling Reactions: S3 2. Tabulated 1H and 13C NMR for scaffolds and representative library members: S3S7 a. Furan scaffold, 19 b. Cyclopentadiene (Cp) scaffold, 18 c. Cp scaffold, SuzukiMiyaura members: 24{6}, 24{10}, 24{9}, 24{5}, 24{1} d. Furan scaffold, SuzukiMiyaura members: 21{28}, 21{20}, 21{24}, 21{25}, 21{18} e. Cp scaffold, BuchwaldHartwig members: 25{7}, 25{10}, 25{11}, 25{5}, 25{3}, 25{1} f. Furan scaffold, BuchwaldHartwig members: 23{10}, 23{18}, 23(11), 23{14} 3. Scaffold spectra: S8S11 a. Furan scaffold, 19 b. Cp scaffold, Select 1H and 13C NMR data for representative library members: S12S53 S1
2 a. Cp scaffold, SuzukiMiyaura members: 24{6}, 24{10}, 24{9}, 24{5}, 24{1} b. Furan scaffold, SuzukiMiyaura members: 21{28}, 21{20}, 21{24}, 21{25}, 21{18} c. Cp scaffold, BuchwaldHartwig members: 25{7}, 25{10}, 25{11}, 25{5}, 25{3}, 25{1} d. Furan scaffold, BuchwaldHartwig members: 23{10}, 23{18}, 23(11), 23{14} 5. Method used for in silico analysis: See Supporting Information, Part II, S2S3. 6. Computed in silico parameters (Table 1): See Supporting Information, Part II, S4S9. 5. Method used for in silico analysis Sketched electronic versions of the library compounds were imported into the Tripos Molecular Spreadsheet [1] wherein standard Lipinski Rule of 5 parameters (molecular weight, ClogP, number of Hacceptors, and number of Hdonors[2]) plus the number of rotatable bonds and polar surface area were computed. Lipinski violations were specified according to molecular weight > 500, ClogP > 5.0, number of acceptors > 10, number of donors > 5, and number of rotatable bonds > 5. The structures were then exported into SDF format and coverted into threedimensional protonated structures via Concord [3]. Absorption, distribution, metabolism and excretion (ADME) profiles of these compounds was then generated via Volsurf [4]. Descriptors were generated using three probes (water, hydrophobic and carbonyl oxygen) with a grid space distribution of 1.0 Å. Predictions were then projected onto internal ADME models at the 5component level. Finally diversity analysis was carried out using DiverseSolutions [5] using standard H aware 3D BCUT descriptors. The library was then projected onto a chemical space defined by the following descriptors: gastchrg_invdist2_ _k_l, gastchrg_invdist6_ _k_h, haccept_invdist2_ _k_h, tabpolar_invdist_ _k_h, tabpolar_invdist_ _k_l and populated (for comparison) by a recent version of the MLSMR screening set (ca. 7/2010; S2
3 ~330,000 unique chemical structures). Diversity scores (div(a)) for our library were then generated for each of our compounds (A) according to the expression: div( A) = pop[ Cell( A)] pop( i) /! i" Occ N occ where N occ is the number of cells occupied by PubChem compounds in an evenly distributed grid decomposition of the chemistry space, and pop(i) is the population of cell i. REFERENCES [1] SYBYL 8.0, The Tripos Associates, St. Louis MO, [2] Lipinski, C.A., Lombardo, F., Dominy, B.W., Feeney, P.J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Delivery Rev. 1997, 23, 325. [3] Concord 8.0, The Tripos Associates, St. Louis MO, [4] Cruciani, G., Meniconi, M., Carosati, E., Zamora, I., Mannhold, R. VOLSURF: A Tool for Drug ADMEProperties Prediction. In: Methods and Principles in Medicinal Chemistry. Eds. van de Waterbeemd, H., Lennernäs, H., Artursson, P. (WileyVCH Verlag GmbH & Co., Weinheim, 2003). [5] Pearlman, R.S.; Smith, K.M. Metric Validation and the ReceptorRelevant Subspace Concept. J. Chem. Inf. Comput. Sci. 1999, 39, Computed in silico parameters (Table 1) S3
4 Molecule CLOGP Mol.Wt H acc H don Rot Bond viols PSA DIVS BBB SOLY CACO2 SP_S SP_P PB VD HERG SD MS S4
5 S5
6 S6
7 S7
8 S8
9 S9
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