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This makes plausible the binding of both the stereoisomers of
compound 13 to the BACE1 binding site. A binding mode
similar to that of compound 13 was obtained by docking
simulations for almost all the other sulfonamide derivatives, as
reported in Video-S1 (Supplementary Material).
7. (a) Konvalinka, J.; Brynda, J.; Sedlacek, J.; Fabry, M. J. Med.
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4156-4180.
9. Chiriano, G.; De Simone, A.; Mancini, F.; Perez, D. I.; Cavalli,
A.; Bolognesi, M. L.; Legname, G.; Martinez, A.; Andrisano, V.;
Carloni, P.; Roberti, M. Eur. J. Med. Chem. 2012, 48, 206-213.
10. Butler, C. R.; Ogilvie, K.; Martinez-Alsina, L.; G. Barreiro, G.;
Beck, E. M.; Nolan, C. E.; Atchison, K.; Benvenuti, E.; Buzon, L.;
Doran, S.; Gonzales, C.; Helal, C. J.; Hou, X.; Hsu, M.- H.;
Johnson, E. F.; Lapham, K.; Lanyon, L.; Parris, K.; O'Neill, B. T.;
Riddell, D.; Robshaw, A.; Vajdos, F.; Brodney, M. A. J. Med.
Chem. 2017, 60, 386-402.
All the BACE1 inhibitors are meant to have central nervous
system (CNS) activity, so they are expected to cross the blood-
brain barrier (BBB). Thus, the logBB was computed with the
Stardrop software23 for all compounds, to estimate their
capability to distribute from blood to the CNS. The logBB
predicted values, being higher than -0.8 in all cases, fall under the
-1 limit for passing the blood-brain barrier, so they seem to
satisfy the CNS permeability expectation. Compound 8, which is
characterized by the presence of a nitrophenyl substituent, shows
the highest value of this series (logBB = -0.79), due to the
relatively high polarity of the NO2 group, thus making its
putative BBB permeation less promising than those of the other
analogues.
11. Scott, J. D.; Li, S. W.; Brunskill, A. P. J.; Chen, X.; Cox, K.;
Cumming, J. N.; Forman, M.; Gilbert, E. J.; Hodgson, R. A.;
Hyde, L. A.; Jiang, Q.; Iserloh, U.; Kazakevich, I.; Kuvelkar, R.;
Mei, H.; Meredith, J.; Misiaszek, J.; Orth, P.; Rossiter, L. M.;
Slater, M.; Stone, J.; Strickland, C. O.; Voigt, J. H.; Wang, G.;
Wang, H.; Wu, Y.; Greenlee, W. J.; Parker, E. M.; Kennedy, M.
E.; Stamford, A. W. J. Med. Chem. 2016, 59, 10435-10450.
12. Ghosh, A. K.; Brindisi, M.; Tang, J. J. Neurochem. 2012, 120, 71-
83.
13. Asso, V.; Ghilardi, E.; Bertini, S.; Digiacomo, M.; Granchi, C.;
Minutolo, F.; Rapposelli, S.; Bortolato, A.; Moro, S.; Macchia, M.
ChemMedChem 2008, 3,1530.
14. Bertini, S.; Asso, V.; Ghilardi, E.; Granchi, C.; Manera, C.;
Minutolo, F.; Saccomanni, G.; Bortolato, A.; Mason, J.; Moro, S.;
Macchia, M. Bioorg. Med. Chem. Lett. 2011, 21, 6657.
15. Porcari, V.; Magnoni, L.; Terstappen, G. C.; Fecke, W.; Assay
Drug Dev. Technol. 2005, 3, 287.
In conclusion, we have synthesized a series of BACE1
inhibitors
possessing
a
N-[3-(9H-carbazol-9-yl)-2-
hydroxypropyl]-arylsulfonamido structure. Among the 24
derivatives, 21 active analogues were found, with three highly
active compounds (IC50 values ranging from 1.6 to 1.9 M). The
docking study showed that both enantiomers of the most active
compound of this series (13) find a good accommodation within
the active site of BACE1; a similar binding mode was obtained
by docking simulations of almost all the other sulfonamide
derivatives, as reported in Video-S1 (Supplementary Material).
Moreover, the predicted logBB values of all compounds (ranging
from -0.57 to -0.79) indicate satisfactory BBB permeabilities.
16. Salmaso, V.; Sturlese, M.; Cuzzolin, A.; Moro, S. J Comput Aided
Mol Des 2016, 30, 773–789.
17. RDKit: Open-source cheminformatics.
Acknowledgments
18. Charrier, N.; Clarke, B.; Demont, E.; Dingwall, C.; Dunsdon, R.;
Hawkins, J.; Hubbard, J.; Hussain, I.; Maile, G.; Matico, R.;
Mosley, J.; Naylor, A.; O’Brien, A.; Redshaw, S.; Rowland, P.;
Soleil, V.; Smith, K. J.; Sweitzer, S.; Theobald, P.; Vesey, D.;
Walter, D. S.; Wayne, G. Bioorg Med Chem Lett 2009, 19, 3669–
3673.
19. Charrier, N.; Clarke, B.; Cutler, L.; Demont, E.; Dingwall, C.;
Dunsdon, R.; Hawkins, J.; Howes, C.; Hubbard, J.; Hussain, I.;
Maile, G.; Matico, R.; Mosley, J.; Naylor, A.; O’Brien, A.;
Redshaw, S.; Rowland, P.; Soleil, V.; Smith, K. J.; Sweitzer, S.;
Theobald, P.; Vesey, D.; Walter, D. S.; Wayne, G. Bioorg Med
Chem Lett 2009, 19, 3674–3678.
The authors are grateful to the University of Pisa (Progetti di
Ricerca di Ateneo, PRA_2016_59) for funding and to Siena
Biotech SpA – Italy, for scientific and financial support. The
computational work coordinated by S.M. has been supported
with financial support from the University of Padova, Italy.
MMS lab is also very grateful to Chemical Computing Group and
OpenEye for the scientific and technical partnership.
20. Charrier, N.; Clarke, B.; Cutler, L.; Demont, E.; Dingwall, C.;
Dunsdon, R.; East, P.; Hawkins, J.; Howes, C.; Hussain, I.;
Jeffrey, P.; Maile, G.; Matico, R.; Mosley, J.; Naylor, A.; O’Brien,
A.; Redshaw, S.; Rowland, P.; Soleil, V.; Smith, K. J.; Sweitzer,
S.; Theobald, P.; Vesey, D.; Walter, D. S.; Wayne, G. J Med
Chem 2008, 51, 3313–3317.
21. Ghosh, A. K.; Kumaragurubaran, N.; Hong, L.; Kulkarni, S.; Xu,
X.; Miller, H. B.; Reddy, D. S.; Weerasena, V.; Turner, R.; Chang,
W.; Koelsch, G.; Tang, J. Bioorg Med Chem Lett 2008, 18, 1031–
1036.
22. Patel, S.; Vuillard, L.; Cleasby, A.; Murray, C. W.; Yon, J. J Mol
Biol 2004, 343, 407–416.
23. Chemical Computing Group (CCG) Inc. Molecular Operating
Environment (MOE); Chemical Computing Group: 1010
Sherbooke St. West, Suite #910, Montreal, QC, Canada, H3A
2R7, 2016.
24. Cuzzolin, A.; Sturlese, M.; Malvacio, I.; Ciancetta, A.; Moro, S.
Molecules 2015, 20, 9977–9993.
25. Verdonk, M. L.; Cole, J. C.; Hartshorn, M. J.; Murray, C. W.;
Taylor, R. D. Proteins 2003, 52, 609–623.
26. Molecular Networks GmbH CORINA; Germany.
27. Schrödinger, LLC Schrödinger Release 2017-1: Maestro; New
York, NY, 2017.
28. StarDrop. Optibrium Ltd, 7221 Cambridge Research Park, Beach
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