Abstract
Fragment-based drug discovery (FBDD) has become increasingly popular over the last decade. We review here how we have used highly structure-driven fragment-based approaches to complement more traditional lead discovery to tackle high priority targets and those struggling for leads. Combining biomolecular nuclear magnetic resonance (NMR), X-ray crystallography, and molecular modeling with structure-assisted chemistry and innovative biology as an integrated approach for FBDD can solve very difficult problems, as illustrated in this chapter. Here, a successful FBDD campaign is described that has allowed the development of a clinical candidate for BACE-1, a challenging CNS drug target. Crucial to this achievement were the initial identification of a ligand-efficient isothiourea fragment through target-based NMR screening and the determination of its X-ray crystal structure in complex with BACE-1, which revealed an extensive H-bond network with the two active site aspartate residues. This detailed 3D structural information then enabled the design and validation of novel, chemically stable and accessible heterocyclic acylguanidines as aspartic acid protease inhibitor cores. Structure-assisted fragment hit-to-lead optimization yielded iminoheterocyclic BACE-1 inhibitors that possess desirable molecular properties as potential therapeutic agents to test the amyloid hypothesis of Alzheimer’s disease in a clinical setting.
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Abbreviations
- AD:
-
Alzheimer’s disease
- ADMET:
-
Absorption distribution, metabolism, excretion, and toxicity
- APP:
-
Amyloid precursor protein
- Aβ:
-
Amyloid beta peptides ranging from 37 to 42 amino acids in length
- BACE-1:
-
β-site APP cleaving enzyme
- cLogP:
-
Computed partition coefficient of a compound
- CNS:
-
Central nervous system
- c-STD:
-
Competition saturation transfer difference
- FBDD:
-
Fragment-based drug discovery
- FBS:
-
Fragment-based screening
- FQ:
-
Fit quality
- HCS:
-
High concentration functional screening
- HSQC:
-
Heteronuclear single quantum coherence
- HTS:
-
High-throughput screening
- IC50 :
-
Half maximal inhibitory concentration
- ITC:
-
Isothermal calorimetry
- K D :
-
Equilibrium dissociation constant
- K I :
-
Equilibrium inhibition constant
- LE:
-
Ligand efficiency
- LLE:
-
Ligand lipophilicity efficiency
- MW:
-
Molecular weight
- NMR:
-
Nuclear magnetic resonance
- PK:
-
Pharmacokinetics
- SAR:
-
Structure–activity relationship
- SPR:
-
Surface plasmon resonance
- STD:
-
Saturation transfer difference
References
Jahnke W, Erlanson DA (eds) (2006) Fragment-based approaches in drug discovery. In: Mannhold R, Kubinyi H, Folkers G (series eds) Methods and principles in medicinal chemistry, Vol 34. Wiley-VCH, Weinheim, Germany
Zartler ER, Shapiro MJ (eds) (2008) Fragment-based drug discovery: a practical approach. Wiley, Chichester, UK
Rees DC, Congreve M, Murray CW, Carr R (2004) Fragment-based lead discovery. Nat Rev Drug Discov 3:660–672
Erlanson DA, McDowell RS, O’Brien T (2004) Fragment-based drug discovery. J Med Chem 47:3463–3482
Erlanson DA (2006) Fragment-based lead discovery: a chemical update. Curr Opin Biotechnol 17:643–652
Hajduk PJ, Greer J (2007) A decade of fragment-based drug design: strategic advances and lessons learned. Nat Rev Drug Discov 6:211–219
Wyss DF, Eaton HL (2007) Fragment-based approaches to lead discovery. Front Drug Des Discov 3:171–202
Alex AA, Flocco MM (2007) Fragment-based drug discovery: what has it achieved so far? Curr Top Med Chem 7:1544–1567
Congreve M, Chessari G, Tisi D, Woodhead AJ (2008) Recent developments in fragment-based drug discovery. J Med Chem 51:3661–3680
de Kloe GE, Bailey D, Leurs R, de Esch IJP (2009) Transforming fragments into candidates: small becomes big in medicinal chemistry. Drug Discov Today 14:630–646
Chessari G, Woodhead AJ (2009) From fragment to clinical candidate-a historical perspective. Drug Discov Today 14:668–675
Murray CW, Rees DC (2009) The rise of fragment-based drug discovery. Nat Chem 1:187–192
Schulz MN, Hubbard RE (2009) Recent progress in fragment-based lead discovery. Curr Opin Pharm 9:615–621
Murray CW, Blundell TL (2010) Structural biology in fragment-based drug design. Curr Opin Struct Biol 20:497–507
Gozalbes R, Carbajo RJ, Pineda-Lucena A (2010) Contributions of computational chemistry and biophysical techniques to fragment-based drug discovery. Curr Med Chem 17:1769–1794
Fink T, Bruggesser H, Reymond JL (2005) Virtual exploration of the small-molecule chemical universe below 160 Daltons. Angew Chem Int Ed Engl 44:1504–1508
Fink T, Reymond JL (2007) Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug discovery. J Chem Inf Model 47:342–353
Hann MM, Leach RL, Harper G (2001) Molecular complexity and its impact on the probability of finding leads for drug discovery. J Chem Inf Comput Sci 41:856–864
Coyne AG, Scott DE, Abell C (2010) Drugging challenging targets using fragment-based approaches. Curr Opin Chem Biol 14:299–307
Congreve M, Carr R, Murray CW, Jhoti H (2003) A ‘rule of three’ for fragment-based lead discovery? Drug Discov Today 8:876–877
Hopkins AL, Groom CR, Alex A (2004) Ligand efficiency: a useful metric for lead selection. Drug Discov Today 9:430–431
Abad-Zapatero C, Metz JT (2005) Ligand efficiency indices as guideposts for drug discovery. Drug Discov Today 10:464–469
Verdonk ML, Rees DC (2008) Group efficiency: a guideline for hits-to-leads chemistry. ChemMedChem 3:1179–1180
Reynolds CH, Bembenek SD, Tounge BA (2007) The role of molecular size in ligand efficiency. Bioorg Med Chem Lett 42:4258–4261
Reynolds CH, Tounge BA, Bembenek SD (2008) Ligand binding efficiency: trends, physical basis, and implications. J Med Chem 51:2432–2438
Bembenek SD, Tounge BA, Reynolds CH (2009) Ligand efficiency and fragment-based drug discovery. Drug Discov Today 14:278–283
Nissink JWM (2009) Simple size-independent measure of ligand efficiency. J Chem Inf Model 49:1617–1622
Orita M, Ohno K, Niimi T (2009) Two ‘golden ratio’ indices in fragment-based drug discovery. Drug Discov Today 14:321–328
Leeson PD, Springthorpe B (2007) The influence of drug-like concepts on decision-making in medicinal chemistry. Nat Rev Drug Discov 6:881–890
Keseru GM, Makara GM (2009) The influence of lead discovery strategies on the properties of drug candidates. Nat Rev Drug Discov 8:203–212
Hajduk PJ (2006) Fragment-based drug design: how big is too big? J Med Chem 49:6972–6976
Perola E (2010) An analysis of the binding efficiencies of drugs and their leads in successful drug discovery programs. J Med Chem 53:2986–2997
Abad-Zapatero C, Perisic O, Wass J, Bento AP, Overington J, Al-Lazikani B, Johnson ME (2010) Ligand efficiency indices for an effective mapping of chemico-biological space: the concept of an atlas-like representation. Drug Discov Today 15:804–811
Schultes S, de Graaf C, Haaksma EEJ, de Esch IJP, Leurs R, Kramer O (2010) Ligand efficiency as a guide in fragment hit selection and optimization. Drug Discov Today Technol 7:e157–e162
Ferenczy GG, Keseru GM (2010) Thermodynamics guided lead discovery and optimization. Drug Discov Today 15:919–932
Ladbury JE, Klebe G, Freire E (2010) Adding calorimetric data to decision making in lead discovery: a hot tip. Nat Rev Drug Discov 9:23–27
Teague SJ et al (1999) The design of lead like combinatorial libraries. Angew Chem Int Ed Engl 38:3743–3748
Oprea TI et al (2001) Is there a difference between leads and drugs? A historical perspective. J Chem Inf Comput Sci 41:1308–1315
Hann MM, Oprea TI (2004) Pursuing the leadlikeness concept in pharmaceutical research. Curr Opin Chem Biol 8:255–263
Dalvit C (2009) NMR methods in fragment screening: theory and a comparison with other biophysical techniques. Drug Discov Today 14:1051–1057
Retra K, Irth H, Muijlwijk-Koezen JE (2010) Surface plasmon resonance biosensor analysis as a useful tool in FBDD. Drug Discov Today Technol 7:e181–e187
Jhoti H, Cleasby A, Verdonk M, Williams G (2007) Fragment-based screening using X-ray crystallography and NMR spectroscopy. Curr Opin Chem Biol 11:485–493
Shuker SB, Hajduk PJ, Meadows RP, Fesik SW (1996) Discovering high affinity ligands for proteins: SAR by NMR. Science 274:1531–1534
Hajduk PJ, Augeri DJ, Mack J, Mendoza R, Yang J, Betz SF, Fesik SW (2000) NMR-based screening of proteins containing 13 C-labeled methyl groups. J Am Chem Soc 122:7898–7904
Mayer M, Meyer B (2001) Group epitope mapping by saturation transfer difference NMR to identify segments of a ligand in direct contact with a protein receptor. J Am Chem Soc 123:6108–6117
Wang YS, Liu D, Wyss DF (2004) Competition STD NMR for the detection of high-affinity ligands and NMR-based screening. Magn Reson Chem 42:485–499
McCoy MA, Senior MM, Wyss DF (2005) Screening of protein kinases by ATP-STD NMR spectroscopy. J Am Chem Soc 127:7978–7979
Dalvit C (2008) Theoretical analysis of the competition ligand-based NMR experiments and selected applications to fragment screening and binding constant measurements. Concepts Magn Reson A 32A:341–372
Dalvit C, Ardini E, Flocco M, Fogliatto GP, Mongelli N, Veronesi M (2003) A general NMR method for rapid, efficient, and reliable biochemical screening. J Am Chem Soc 125:14620–14625
Jacoby E, Davies J, Blommers MJ (2003) Design of small molecule libraries for NMR screening and other applications in drug discovery. Curr Top Med Chem 3:11–23
Baurin N, Aboul-Ela F, Barril X, Davis B, Drysdale M, Dymock B, Finch H, Fromont C, Richardson C, Simmonite H, Hubbard RE (2004) Design and characterization of libraries of molecular fragments for use in NMR screening against protein targets. J Chem Inf Comput Sci 44:2157–2166
Blomberg N, Cosgrove DA, Kenny PW, Kolmodin K (2009) Design of compound libraries for fragment screening. J Comput Aided Mol Des 23:513–525
Chen IJ, Hubbard RE (2009) Lessons for fragment library design: analysis of output from multiple screening campaigns. J Comput Aided Mol Des 23:603–620
Boyd SM, de Kloe GE (2010) Fragment library design: efficiently hunting drugs in chemical space. Drug Discov Today Technol 7:e173–e180
Gleeson MP (2008) Generation of a set of simple, interpretable ADMET rules of thumb. J Med Chem 51:817–834
Wenlock MC, Austin RP, Barton P, Davis AM, Leeson PD (2003) A comparison of physicochemical property profiles of development and marketed oral drugs. J Med Chem 46:1250–1256
Mortenson PN, Murray CW (2009) Ligand lipophilicity efficiency – assessing lipophilicity of fragments and early hits. Presented at RSC Fragments 2009, Astra Zeneca Alderley Park, UK, 4–5 March 2009, Poster 9
Freire E (2008) Do enthalpy and entropy distinguish first in class from best in class? Drug Discov Today 13:869–874
Scott AD, Phillips C, Alex A, Flocco M, Bent A, Randall A, O’Brien R, Damian L, Jones LH (2009) Thermodynamic optimisation in drug discovery: a case study using carbonic anhydrase inhibitors. ChemMedChem 4:1985–1989
Ward HJ, Holdgate GA (2001) Isothermal titration calorimetry in drug discovery. Prog Med Chem 38:309–376
Chung S, Parker JB, Bianchet M, Amzel LM, Stivers JT (2009) Impact of linker strain and flexibility in the design of a fragment-based inhibitor. Nat Chem Biol 5:407–413
Barelier S, Pons J, Marcillat O, Lancelin J-M, Krimm I (2010) Fragment-based deconstruction of Bcl-xL inhibitors. J Med Chem 53:2577–2588
Ji H, Li H, Martasek P, Roman LJ, Poulos TL, Silverman RB (2009) Discovery of highly potent and selective inhibitors of neuronal nitric oxide synthase by fragment hopping. J Med Chem 52:779–797
Levy-Lehad E, Wijsman E, Nemens E, Anderson A, Goddard KA, Weber JL (1995) A familial Alzheimer’s disease locus on chromosome 1. Science 269:970–973
Melnikova I (2007) Therapies for Alzheimer’s disease. Nat Rev Drug Discov 6:341–342
Mount C, Downton C (2006) Alzheimer disease: progress or profit? Nat Med 12:780–784
Moreira PI, Zhu X, Nunomura A, Smith MA, Perry G (2006) Therapeutic options in Alzheimer’s disease. Expert Rev Neurother 6:897–910
Hardy J, Selkoe DJ (2002) The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science 297:353–356
Haass C, Selkoe DJ (2007) Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer’s amyloid β-peptide. Nat Rev Mol Cell Biol 8:101–112
Korczyn AD (2008) The amyloid cascade hypothesis. Alzheimers Dement 4:176–178
Hardy J (2006) Has the amyloid cascade hypothesis for Alzheimer’s been proved? Curr Alzheimer Res 3:71–73
Selkoe D (2001) Alzheimer’s disease: genes, proteins, and therapy. Physiol Rev 81:741–766
Archer HA, Edison P, Brooks DJ, Barnes J, Frost C, Yeatman T (2006) Amyloid load and cerebral atrophy in Alzheimer’s disease: a 11 C-BIP positron emission tomography study. Ann Neurol 60:145–147
Olson MI, Shaw CM (1969) Presenile dementia and Alzheimer’s disease in mongolism. Brain 92:147–156
Mann DMA (1998) Alzheimer’s disease and Down’s syndrome. Histopathology 13:125–137
Prasher VP, Farrer MJ, Kessling AM, Fisher EMC, West RJ, Barber SPC, Butler AC (1998) Molecular mapping of IIv Alzheimer-type dementia in Down’s syndrome. Ann Neurol 43:380–383
Pike CJ, Walencewicz AJ, Glabe CG, Cotman CW (1991) In vitro aging of amyloid-beta protein causes peptide aggregation and neurotoxicity. Brain Res 573:311–314
Lorenzo A, Yankner B (1994) Beta-amyloid neurotoxicity requires fibril formation and is inhibited by congo red. Proc Natl Acad Sci USA 91:12243–12247
Iversen LL, Mortishire-Sith RJ, Pollack SJ, Shearman MS (1995) The toxicity in vitro of beta-amyloid protein. Biochem J 311:1–16
Tsai J, Grutzendler J, Duff K, Gan W (2004) Fibrillar amyloid deposition leads to local synaptic abnormalities and breakage of neuronal branches. Nat Neurosci 7:1181–1183
Mor F, Monsonego A (2006) Immunization therapy in Alzheimer’s disease. Expert Rev Neurother 6:653–659
Qu B, Boyer PJ, Johnston SA, Hynan LS, Rosenberg RN (2006) Aβ42 gene vaccination reduces brain amyloid plaque burden in transgenic mice. J Neurol Sci 244:151–158
Bayer AJ, Bullock R, Jones RW, Wilkinson D, Paterson KR, Jenkins L (2005) Evaluation of the safety and immunogenicity of syntheticAβ42 (AN1792) in patients with AD. Neurology 64:94–101
Gilman S, Koller M, Black RS, Jenkins L, Griffith SG, Fox NC (2005) Clinical effects of Aβ immunization (AN1792) in patients with AD in an interrupted trial. Neurology 64:1553–1562
Hock C, Konietzko U, Streffer JR, Tracy J, Signorell A, Muller-Tilmanns B (2003) Antibodies against b-amyloid slow cognitive decline in Alzheimer’s disease. Neuron 38:547–554
Fox NC, Black RS, Gilman S, Rossor MN, Griffith SG, Jenkins L (2005) Effects of Ab immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease. Neurology 64:1563–1572
DaSilva KA, Aubert I, McLaurin J (2006) Vaccine development for Alzheimer’s disease. Curr Pharm Des 12:4283–4293
Hussain I, Powell D, Howlett DR, Tew DG, Meek TD, Chapman C, Gloger IS, Murphy KE, Southan CD, Ryan DM, Smith TS, Simmons DL, Walsh FS, Dingwall C, Christie G (1999) Identification of a novel aspartic protease (Asp 2) as beta-secretase. Mol Cell Neurosci 14:419–427
Sinha S, Anderson JP, Barbour R, Basi GS, Caccavello R, Davis D, Doan M, Dovey HF, Frigon N, Hong J, Jacobson-Croak K, Jewett N, Keim P, Knops J, Lieberburg I, Power M, Tan H, Tatsuno G, Tung J, Schenk D (1999) Purification and cloning of amyloid precursor protein beta secretase from human brain. Nature 402:537–540
Vassar R, Bennett BD, Babu-Khan S, Kahn S, Mendiaz EA, Denis P, Teplow DB, Ross S, Amarante P, Loeloff R, Luo Y, Fisher S, Fuller J, Edenson S, Lile J, Jarosinski MA, Biere AL, Curran E, Burgess T, Louis JC (1999) Beta-secretase cleavage of Alzheimer’s amyloid precursor protein by the transmembrane aspartic protease BACE. Science 286:735–741
Yan R, Bienkowski MJ, Shuck ME, Miao H, Tory MC, Pauley AM, Brashier JR, Stratman NC, Mathews WR, Buhl AE, Carter DB, Tomasselli AG, Parodi LA, Heinrikson RL, Gurney ME (1999) Membrane-anchored aspartyl protease with Alzheimer’s disease beta-secretase activity. Nature 402:533–537
Farzan M, Schnitzler CE, Vasilieva N, Leung D, Choe H (2000) BACE2, a beta-secretase homolog, cleaves at the beta site and within the amyloid-beta region of the amyloid-beta precursor protein. Proc Natl Acad Sci USA 97:9712–9717
Saunders AJ, Kim T-M, Tanzi RE (1999) BACE maps to chromosome 11 and a BACE homolog, BACE2, reside in the obligate Down syndrome region of chromosome 21. Science 286:1255a
Luo Y, Bolon B, Kahn S, Bennett BD, Babu-Khan S, Denis P, Fan W, Kha H, Zhang J, Gong Y, Martin L, Louis JC, Yan Q, Richards WG, Citron M, Vassar R (2001) Mice deficient in BACE1, the Alzheimer’s beta secretase, have normal phenotype and abolished beta-amyloid generation. Nat Neurosci 4:231–232
Luo Y, Bolon B, Damore MA, Fitzpatrick D, Liu H, Zhang J, Yan Q, Vassar R, Citron M (2003) BACE1 (beta secretase) knockout mice do not acquire compensatory gene expression changes or develop neural lesions over time. Neurobiol Dis 14:81–88
Willem M, Garratt AN, Novak B, Citron M, Kaufmann S, Rittger A, DeStrooper B, Saftig P, Birchmeier C, Haass C (2006) Control of peripheral nerve myelination by the β-secretase BACE1. Science 314:664–666
Wang H, Song L, Laird F, Wong PC, Lee H-K (2008) BACE1 knock-outs display deficits in activity-dependent potentiation of synaptic transmission at mossy fiber to CA3 synapses in the hippocampus. J Neurosci 28:8677–8681
Ohno M, Sametsky EA, Younkin LH, Oakley H, Younkin SG, Citron M, Vassar R, Disterhoft JF (2004) BACE1 deficiency rescues memory deficits and cholinergic dysfunction in a mouse model of Alzheimer’s disease. Neuron 41:27–33
Ghosh AK, Shin D, Downs D, Koelsch G, Lin X, Ermolieff J, Tang J (2000) Design of potent inhibitors for human brain memapsin 2 (β-secretase). J Am Chem Soc 122:3522–3523
Hong L, Koelsch G, Lin X, Wu S, Terzyan S, Ghosh AK, Zhang XC, Tang J (2000) Structure of the protease domain of memapsin 2 (β-secretase) complexed with inhibitor. Science 290:150–153
Stachel SJ (2009) Progress toward the development of a viable BACE-1 inhibitor. Drug Dev Res 70:101–110
Durham TB, Shepherd TA (2006) Progress toward the discovery and development of efficacious BACE inhibitors. Curr Opin Drug Discov Dev 9:776–791
Maillard MC, Hom RK, Benson TE, Moon JB, Mamo S, Bienkowski M, Tomasselli AG, Woods DD, Prince DB, Paddock DJ, Emmons TL, Tucker JA, Dappen MS, Brogley L, Thorsett ED, Jewett N, Sinha S, Varghese J (2007) Design, synthesis, and crystal structure of hydroxyethyl secondary amine-based peptidomimetic inhibitors of human beta -secretase. J Med Chem 50:776–781
Wang YS, Strickland C, Voigt JH, Kennedy ME, Beyer BM, Senior MM, Smith EM, Nechuta TL, Madison VS, Czarniecki M, McKittrick BA, Stamford AW, Parker EM, Hunter JC, Greenlee WJ, Wyss DF (2010) Application of fragment-based NMR screening, X-ray crystallography, structure-based design, and focused chemical library design to identify novel μM leads for the development of nM BACE-1 (β-site APP cleaving enzyme 1) inhibitors. J Med Chem 53:942–950
Zhu Z, Sun ZY, Ye Y, Voigt J, Strickland C, Smith EM, Cumming J, Wang L, Wong J, Wang YS, Wyss DF, Chen X, Kuvelkar R, Kennedy ME, Favreau L, Parker E, McKittrick BA, Stamford A, Czarniecki M, Greenlee W, Hunter JC (2010) Discovery of cyclic acylguanidines as highly potent and selective β-site amyloid cleaving enzyme (BACE) inhibitors: part I – inhibitor design and validation. J Med Chem 53:951–965
Geschwindner S, Olsson LL, Albert JS, Deinum J, Edwards PD, de Beer T, Folmer RH (2007) Discovery of a novel warhead against β-secretase through fragment-based lead generation. J Med Chem 50:5903–5911
Kuglstatter A, Stahl M, Peters JU, Huber W, Stihle M, Schlatter D, Benz J, Ruf A, Roth D, Enderle T, Hennig M (2008) Tyramine fragment binding to BACE-1. Bioorg Med Chem Lett 18:1304–1307
Murray CW, Callaghan O, Chessari G, Cleasby A, Congreve M, Frederickson M, Hartshorn MJ, McMenamin R, Patel S, Wallis N (2007) Application of fragment screening by X-ray crystallography to β-secretase. J Med Chem 50:1116–1123
Congreve M, Aharony D, Albert J, Callaghan O, Campbell J, Carr RA, Chessari G, Cowan S, Edwards PD, Frederickson M, McMenamin R, Murray CW, Patel S, Wallis N (2007) Application of fragment screening by X-ray crystallography to the discovery of aminopyridines as inhibitors of β-secretase. J Med Chem 50:1124–1132
Edwards PD, Albert JS, Sylvester M, Aharony D, Andisik D, Callaghan O, Campbell JB, Carr RA, Chessari G, Congreve M, Frederickson M, Folmer RH, Geschwindner S, Koether G, Kolmodin K, Krumrine J, Mauger RC, Murray CW, Olsson LL, Patel S, Spear N, Tian G (2007) Application of fragment-based lead generation to the discovery of novel, cyclic amidine β-secretase inhibitors with nanomolar potency, cellular activity, and high ligand efficiency. J Med Chem 50:5912–5925
Yang W, Fucini RV, Fahr BT, Randal M, Lind KE, Lam MB, Lu W, Lu Y, Cary DR, Romanowski MJ, Colussi D, Pietrak B, Allison TJ, Munshi SK, Penny DM, Pham P, Sun J, Thomas AE, Wilkinson JM, Jacobs JW, McDowell RS, Ballinger MD (2009) Fragment-based discovery of nonpeptidic BACE-1 inhibitors using tethering. Biochemistry 48:4488–4496
Godemann R, Madden J, Krämer J, Smith M, Fritz U, Hesterkamp T, Barker J, Höppner S, Hallett D, Cesura A, Ebneth A, Kemp J (2009) Fragment-based discovery of BACE1 inhibitors using functional assays. Biochemistry 48:10743–10751
Madden J, Dod JR, Godemann R, Kraemer J, Smith M, Biniszkiewicz M, Hallett DJ, Barker J, Dyekjaer JD, Hesterkamp T (2010) Fragment-based discovery and optimization of BACE1 inhibitors. Bioorg Med Chem Lett 20:5329–5333
Wang Y-S, Beyer BM, Senior MM, Wyss DF (2005) Characterization of autocatalytic conversion of precursor BACE1 by heteronuclear NMR spectroscopy. Biochemistry 44:16594–16601
Liu D, Wang Y-S, Gesell JJ, Wilson E, Beyer BM, Wyss DF (2004) Backbone resonance assignments of the 45.3 kDa catalytic domain of human BACE1. J Biomol NMR 29:425–426
Stamford A (2010) Discovery of small molecule, orally active and brain penetrant BACE1 inhibitors. Paper presented at 239th ACS National Meeting, San Francisco, CA, 21–25 March 2010
Acknowledgments
We would like to thank Mark McCoy and Jennifer Gesell for their many successful contributions to fragment-based NMR screening and FBDD, and Zhong-Yue Sun, Matthew E. Kennedy, Brian M. Beyer, Mary M. Senior, Elizabeth M. Smith, Terry L. Nechuta, Yuanzan Ye, Jared Cumming, Lingyan Wang, Jesse Wong, Xia Chen, Reshma Kuvelkar, Leonard Favreau, Vincent S. Madison, Michael Czarniecki, Brian A. McKittrick, Eric M. Parker, John C. Hunter, and William J. Greenlee for their invaluable contributions to the BACE-1 work and for their exceptional teamwork, as well as many other colleagues who have contributed to the success of this project over the years.
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Wyss, D.F. et al. (2011). Combining NMR and X-ray Crystallography in Fragment-Based Drug Discovery: Discovery of Highly Potent and Selective BACE-1 Inhibitors. In: Davies, T., Hyvönen, M. (eds) Fragment-Based Drug Discovery and X-Ray Crystallography. Topics in Current Chemistry, vol 317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/128_2011_183
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