Abstract
A core element to the successful development of asymmetric catalytic reactions is finding a suitable chiral catalyst or ligand. The discovery and optimization of chiral catalysts can be enormously challenging. Traditionally, chemists have approached this endeavour by screening existing ligands. The most promising structures are then modified based on mechanistic knowledge, chemical intuition and the results of screening experiments, with the aim of optimizing selectivity and yield. However, this empirical approach has begun to change: new methods to accelerate the experimental screening process have emerged together with computational and physical-organic approaches that provide a systematic, and hopefully faster, route to new catalysts. Practical and theoretical understanding of high-throughput screening and multi-parameter optimization are now requirements at the cutting edge of the field, in addition to synthetic and mechanistic expertise.
In this chapter, we summarize the recent examples of combinatorial approaches taken to discover and develop asymmetric catalytic transformations. In particular, we highlight the use of quantitative models to predict reaction outcomes. A series of guidelines are presented to aid chemists in adopting these approaches, followed by illustrated examples of recent work in this area.
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Abbreviations
- AARON:
-
An automated reaction optimizer for new (catalysts)
- AD:
-
Applicability domain
- AIC:
-
Akaike information criterion
- ANOVA:
-
Analysis of variance
- ASO:
-
Average steric occupancy
- BINOL:
-
1,1′-Bi-2-naphthol
- BINAP:
-
2,2′-Bis(diphenylphosphino)-1,1′-binaphthyl
- CAPT:
-
Chiral anion phase transfer
- cat.:
-
Catalytic
- CIP:
-
Cahn-Ingold-Prelog
- COD:
-
1,5-Cyclooctadiene
- dba:
-
Dibenzylideneacetone
- DCM:
-
Dichloromethane
- DFT:
-
Density functional theory
- (DHQD)2PHAL:
-
Hydroquinidine 1,4-phthalazinediyl diether
- DNA:
-
Deoxyribonucleic acid
- dr:
-
Diastereomeric ratio
- ee:
-
Enantiomeric excess
- EPR:
-
Electron paramagnetic resonance
- er:
-
Enantiomeric ratio
- etc.:
-
et cetera
- FF:
-
Force field
- GC-MS:
-
Gas chromatography-mass spectrometry
- HPLC:
-
High-performance liquid chromatography
- hr:
-
Hour(s)
- HRMS:
-
High-resolution mass spectrometry
- HTS:
-
High-throughput screening
- IR:
-
Infrared
- kcal:
-
Kilocalories
- kJ:
-
Kilojoules
- LMOCV:
-
Leave-many-out cross-validation
- LOOCV:
-
Leave-one-out cross-validation
- m :
-
Molarity
- Min:
-
Minute(s)
- MLR:
-
Multivariate linear regression
- MM:
-
Molecular mechanics
- mol:
-
Mole
- NBO:
-
Natural bond order
- NBS:
-
N-Bromosuccinimide
- NMR:
-
Nuclear magnetic resonance
- OECD:
-
Organization for Economic Co-operation and Development
- OLS:
-
Ordinary least squares regression
- PA:
-
Phosphate anion
- PCA:
-
Principal component analysis
- PLS:
-
Partial least squares regression
- Q2MM:
-
Quantum guided molecular mechanic
- QM:
-
Quantum mechanic
- QSAR:
-
Quantitative structure-activity relationship
- QSSR:
-
Quantitative structure-selectivity relationship
- RMSE:
-
Root-mean-square error
- rt:
-
Room temperature
- SD:
-
Standard deviation
- TADDOL:
-
α,α,α′,α′-Tetraaryl-2,2-disubstituted 1,3-dioxolane-4,5-dimethanol
- TMS:
-
Trimethyl silyl
- TS:
-
Transition states
- UTS:
-
Universal training set
- UV-vis:
-
Ultraviolet-visible spectroscopy
- vs:
-
Versus
- XPS:
-
X-ray photoelectron spectroscopy
References
Barron LD (2008) Chirality and life. In: Botta O, Bada JL, Gomez-Elvira J et al (eds) Strategies of life detection. Springer, Boston, pp 187–201
Eliel E, Wilen S, Mander L (1994) Stereochemistry of organic compounds. Wiley, New York
Gawley RE (2006) J Org Chem 71:2411–2416
Smith SW (2009) Toxicol Sci 110:4–30
Nicolaou KC, Pappo D, Tsang KY et al (2008) Angew Chem Int Ed 47:944–946
Brunel JM (2005) Chem Rev 105:857–898
Christmann M, Brase S (2007) Asymmetric synthesis: the essentials, 2nd, completely revised edition. Wiley, New York
Trost BM (1995) Angew Chem Int Ed 34:259–281
Noyori R (2002) Angew Chem Int Ed 41:2008–2022
Crispino GA, Ho PT, Sharpless KB (1993) Science 259:64–66
Yamakawa M, Yamada I, Noyori R (2001) Angew Chem Int Ed 40:2818–2821
Drudis-Solé G, Ujaque G, Maseras F, Lledós A (2005) Chem A Eur J 11:1017–1029
Norrby P-O, Rasmussen T, Haller J, Strassner T, Houk KN (1999) J Am Chem Soc 121:10186–10192
Hopmann KH (2015) Int J Quantum Chem 115:1232–1249
Yoon TP, Jacobsen EN (2003) Science 299:1691–1693
Berthod M, Mignani G, Woodward G, Lemaire M (2005) Chem Rev 105:1801–1836
Paquette LA (1999) Chiral reagents for asymmetric synthesis. Wiley, New York
Seebach D, Beck AK, Heckel A (2001) Angew Chem Int Ed 40:92–138
Desimoni G, Faita G, Jørgensen KA (2006) Chem Rev 106:3561–3651. https://doi.org/10.1021/cr0505324
Burk MJ (1991) J Am Chem Soc 113:8518–8519
Blaser H-U, Brieden W, Pugin B et al (2002) Top Catal 19:3–16
Reetz MT, Li X (2006) J Am Chem Soc 128:1044–1045
Trost BM, Fandrick DR (2007) Aldrichimica Acta 40:59
Zhang W et al (2007) Acc Chem Res 40:1278
Feringa BL (2000) Acc Chem Res 33:346–353
Teichert JF, Feringa BL (2010) Angew Chem Int Ed 49:2486–2528
Ardkhean R, Roth PMC, Maksymowicz RM et al (2017) ACS Catal 7:6729–6737
Ardkhean R, Mortimore M, Paton RS, Fletcher SP (2018) Chem Sci 9:2628–2632
Brethomé A, Paton R, Fletcher SP (2019) ACS Catal 9:7179–7187
Diéguez M, Pà mies O, Claver C (2004) Chem Rev 104:3189–3216
McNally A, Prier CK, MacMillan DWC (2011) Science 334:1114–1117
Lefort L, Boogers JAF, de Vries AHM, de Vries JG (2004) Org Lett 6:1733–1735
Jagt RBC, Toullec PY, Schudde EP et al (2007) J Comb Chem 9:407–414
Barhate CL, Joyce LA, Makarov AA et al (2017) Chem Commun 53:509–512
Jo HH, Lin C-Y, Anslyn EV (2014) Acc Chem Res 47:2212–2221
Herrera BT, Pilicer SL, Anslyn EV et al (2018) J Am Chem Soc 140:10385–10401
Shcherbakova EG, Brega V, Minami T et al (2016) Chem A Eur J 22:10074–10080
Zhao Y, Swager TM (2015) J Am Chem Soc 137:3221–3224
Feagin TA, Olsen DPV, Headman ZC, Heemstra JM (2015) J Am Chem Soc 137:4198–4206
Houk KN, Cheong PH-Y (2008) Nature 455:309–313
Peng Q, Duarte F, Paton RS (2016) Chem Soc Rev 45:6093–6107
Brown JM, Deeth RJ (2009) Angew Chem Int Ed 48:4476–4479
Cheng G-J, Zhang X, Chung LW et al (2015) J Am Chem Soc 137:1706–1725
Hansen E, Rosales AR, Tutkowski B et al (2016) Acc Chem Res 49:996–1005
Schneebeli ST, Hall ML, Breslow R, Friesner R (2009) J Am Chem Soc 131:3965–3973
Straker RN, Peng Q, Mekareeya A et al (2016) Nat Commun 7:1–9
Burrows LC, Jesikiewicz LT, Lu G, Geib SJ, Liu P, Brummond KM (2017) J Am Chem Soc 139:15022–15032
Guan Y, Wheeler SE (2017) Angew Chem Int Ed 56:9101–9105
Bo C, Maseras F (2008) Dalton Trans:2911–2919
Donoghue PJ, Helquist P, Norrby P-O, Wiest O (2009) J Am Chem Soc 131:410–411
Rosales AR, Wahlers J, Limé E et al (2019) Nat Catal 2:41–45
Tropsha A (2010) Mol Inform 29:476–488
Hammett LP (1935) Chem Rev 17:125–136
Dearden JC, Cronin MTD, Kaiser KLE (2009) SAR QSAR Environ Res 20:241–266
Santiago CB, Guo J-Y, Sigman MS (2018) Chem Sci 9:2398–2412
Zahrt AF, Athavale SV, Denmark SE (2020) Chem Rev 120:1620–1689
Organisation for Economic Co-operation and Development (2007) Guidance document on the validation of (quantitative) structure-activity relationship [(Q)SAR] models. OECD Environment Health and Safety Publications Series on Testing and Assessment 69
Lipkowitz KB, Pradhan M (2003) J Org Chem 68:4648–4656
Kozlowski MC, Dixon SL, Panda M, Lauri G (2003) J Am Chem Soc 125:6614–6615
Li L, Pan Y, Lei M (2016) Cat Sci Technol 6:4450–4457
Yamaguchi S, Nishimura T, Hibe Y et al (2017) J Comput Chem 38:1825–1833
Denmark SE, Gould ND, Wolf LM (2011) J Org Chem 76:4337–4357
Sciabola S, Alex A, Higginson PD et al (2005) J Org Chem 70:9025–9027
van der Linden JB, Ras E-J, Hooijschuur SM et al (2005) QSAR Comb Sci 24:94–98
Winstein S, Holness NJ (1955) J Am Chem Soc 77:5562–5578
Ruzziconi R, Spizzichino S, Lunazzi L et al (2009) Chem A Eur J 15:2645–2652
Charton M (1975) J Am Chem Soc 97:1552–1556
Taft RW (1952) J Am Chem Soc 74:2729–2732
Verloop A (1976) In: Ariens EJ (ed) Drug design, vol 3. Academic Press, New York, p 133
Piou T, Romanov-Michailidis F, Romanova-Michaelides M et al (2017) J Am Chem Soc 139:1296–1310
Brethomé AV, Fletcher SP, Paton RS (2019) ACS Catal 9:2313–2323
Urbano-Cuadrado M, Carbó JJ, Maldonado AG, Bo C (2007) J Chem Inf Model 47:2228–2234
Jover J, Fey N, Harvey JN et al (2012) Organometallics 31:5302–5306
Fey N, Orpen AG, Harvey JN (2009) Coord Chem Rev 253:704–722
Fey N, Harvey JN, Lloyd-Jones GC et al (2008) Organometallics 27:1372–1383
Zahrt AF, Denmark SE (2019) Tetrahedron 75:1841–1851
Mercader AG, Duchowicz PR, Fernández FM, Castro EA (2008) Chemom Intel Lab Syst 92:138–144
Mercader AG, Duchowicz PR, Fernández FM, Castro EA (2010) J Chem Inf Model 50:1542–1548
Goodarzi M, Dejaegher B, Heyden YV (2012) J AOAC Int 95:636–651
R Core Team (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org/
Tropsha A, Gramatica P, Gombar VK (2003) QSAR Comb Sci 22:69–77
Golbraikh A, Tropsha A (2002) J Mol Graph Model 20:269–276
Hawkins DM (2004) J Chem Inf Comput Sci 44:1–12
Wold S, Dunn WJ (1983) J Chem Inf Comput Sci 23:6–13
Oslob JD, Åkermark B, Helquist P, Norrby P-O (1997) Organometallics 16:3015–3021
Wehrens R, Putter H, Buydens LMC (2000) Chemom Intel Lab Syst 54:35–52
Rücker C, Rücker G, Meringer M (2007) J Chem Inf Model 47:2345–2357
Consonni V, Ballabio D, Todeschini R (2009) J Chem Inf Model 49:1669–1678
Kannan KS, Manoj K (2015) Appl Math Sci 9:2317–2324
Lipnick RL (1991) Sci Total Environ 109–110:131–153
Zhang C, Santiago CB, Crawford JM, Sigman MS (2015) J Am Chem Soc 137:15668–15671
Maggiora GM (2006) J Chem Inf Model 46:1535–1535
Fujita T, Winkler DA (2016) J Chem Inf Model 56:269–274
Niemeyer ZL, Milo A, Hickey DP, Sigman MS (2016) Nat Chem 8:610–617
Harper KC, Bess EN, Sigman MS (2012) Nat Chem 4:366–374
Harper KC, Sigman MS (2011) Science 333:1875–1878
Huang H, Zong H, Bian G et al (2014) J Org Chem 79:9455–9464
Huang H, Zong H, Shen B et al (2014) Tetrahedron 70:1289–1297
Orlandi M, Coelho JAS, Hilton MJ et al (2017) J Am Chem Soc 139:6803–6806
Luo Y, Berry NG, Carnell AJ (2012) Chem Commun 48:3279–3281
Aguado-Ullate S, Urbano-Cuadrado M, Villalba I et al (2012) Chem A Eur J 18:14026–14036
Bess EN, Bischoff AJ, Sigman MS (2014) Proc Natl Acad Sci 111:14698–14703
Orlandi M, Hilton MJ, Yamamoto E et al (2017) J Am Chem Soc 139:12688–12695
Sigman MS, Harper KC, Bess EN, Milo A (2016) Acc Chem Res 49:1292–1301
Crawford JM, Stone EA, Metrano AJ et al (2018) J Am Chem Soc 140:868–871
Zahrt AF, Henle JJ, Rose BT et al (2019) Science 363:eaau5631
Gonzalez-Diaz H, Arrasate S, Juan A et al (2014) Curr Drug Metab 15:470–488
Yamamoto E, Hilton MJ, Orlandi M, Saini V, Toste FD, Sigman MS (2016) J Am Chem Soc 138:15877–15880
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Ardkhean, R., Fletcher, S.P., Paton, R.S. (2020). Ligand Design for Asymmetric Catalysis: Combining Mechanistic and Chemoinformatics Approaches. In: Lledós, A., Ujaque, G. (eds) New Directions in the Modeling of Organometallic Reactions. Topics in Organometallic Chemistry, vol 67. Springer, Cham. https://doi.org/10.1007/3418_2020_47
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DOI: https://doi.org/10.1007/3418_2020_47
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