Predictive and mechanistic multivariate linear regression models for reaction development
暂无分享,去创建一个
[1] P. Holland,et al. Robust regression using iteratively reweighted least-squares , 1977 .
[2] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[3] Matthew S Sigman,et al. Predicting and optimizing asymmetric catalyst performance using the principles of experimental design and steric parameters , 2011, Proceedings of the National Academy of Sciences.
[4] Kevin Wu,et al. Parameterization of phosphine ligands demonstrates enhancement of nickel catalysis via remote steric effects. , 2017, Nature chemistry.
[5] Per-Ola Norrby,et al. Prediction of Stereochemistry using Q2MM , 2016, Accounts of chemical research.
[6] S. Nolan,et al. Percent buried volume for phosphine and N-heterocyclic carbene ligands: steric properties in organometallic chemistry. , 2010, Chemical communications.
[7] Neil Salkind. Encyclopedia of Measurement and Statistics , 2006 .
[8] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[9] Ke Chen,et al. Total synthesis of eudesmane terpenes by site-selective C–H oxidations , 2009, Nature.
[10] Anat Milo,et al. Interrogating selectivity in catalysis using molecular vibrations , 2014, Nature.
[11] I. Jolliffe. Principal Component Analysis and Factor Analysis , 1986 .
[12] F. Dean Toste,et al. A data-intensive approach to mechanistic elucidation applied to chiral anion catalysis , 2015, Science.
[13] Anat Milo,et al. The Development of Multidimensional Analysis Tools for Asymmetric Catalysis and Beyond. , 2016, Accounts of chemical research.
[14] Huifeng Yue,et al. Correlating the effects of the N-substituent sizes of chiral 1,2-amino phosphinamide ligands on enantioselectivities in catalytic asymmetric Henry reaction using physical steric parameters. , 2014, The Journal of organic chemistry.
[15] Chun Zhang,et al. Enantioselective Dehydrogenative Heck Arylations of Trisubstituted Alkenes with Indoles to Construct Quaternary Stereocenters. , 2015, Journal of the American Chemical Society.
[16] F. Dean Toste,et al. Pursuit of Noncovalent Interactions for Strategic Site-Selective Catalysis. , 2017, Accounts of chemical research.
[17] Stefan Rüping,et al. Learning interpretable models , 2006 .
[18] Lucila Ohno-Machado,et al. Logistic regression and artificial neural network classification models: a methodology review , 2002, J. Biomed. Informatics.
[19] Jeremy N. Harvey,et al. Computational descriptors for chelating P,P- and P,N-donor ligands , 2008 .
[20] Andrew J. Neel,et al. Enantiodivergent Fluorination of Allylic Alcohols: Data Set Design Reveals Structural Interplay between Achiral Directing Group and Chiral Anion. , 2016, Journal of the American Chemical Society.
[21] P. Knauf,et al. Monthly publication in 1986 , 1985 .
[22] Bin Shen,et al. QSAR analysis of the catalytic asymmetric ethylation of ketone using physical steric parameters of chiral ligand substituents , 2014 .
[23] D. Longmore. The principles of magnetic resonance. , 1989, British medical bulletin.
[24] Eric N. Jacobsen,et al. Attractive noncovalent interactions in asymmetric catalysis: Links between enzymes and small molecule catalysts , 2010, Proceedings of the National Academy of Sciences.
[25] Vidar R. Jensen,et al. Quantitative Structure−Activity Relationships of Ruthenium Catalysts for Olefin Metathesis , 2006 .
[26] Robert J Deeth,et al. Is enantioselectivity predictable in asymmetric catalysis? , 2009, Angewandte Chemie.
[27] Paola Gramatica,et al. Principles of QSAR models validation: internal and external , 2007 .
[28] A. Afifi,et al. Comparison of Stopping Rules in Forward “Stepwise” Regression , 1977 .
[29] Ivana Matanovic,et al. Predicting Electrocatalytic Properties: Modeling Structure-Activity Relationships of Nitroxyl Radicals. , 2015, Journal of the American Chemical Society.
[30] C. Copéret,et al. Metathesis Activity Encoded in the Metallacyclobutane Carbon-13 NMR Chemical Shift Tensors , 2017, ACS central science.
[31] M. Charton,et al. Steric effects. I. Esterification and acid-catalyzed hydrolysis of esters , 1975 .
[32] I. Jolliffe. Principal Component Analysis , 2002 .
[33] Donald W. Marquardt,et al. Comment: You Should Standardize the Predictor Variables in Your Regression Models , 1980 .
[34] Dominique M. Roberge,et al. An Integrated Approach Combining Reaction Engineering and Design of Experiments for Optimizing Reactions , 2004 .
[35] Kevin Bateman,et al. Nanomole-scale high-throughput chemistry for the synthesis of complex molecules , 2015, Science.
[36] Matthew S. Sigman,et al. Developing Comprehensive Computational Parameter Sets To Describe the Performance of Pyridine-Oxazoline and Related Ligands , 2017 .
[37] Anat Milo,et al. Parameterization of phosphine ligands reveals mechanistic pathways and predicts reaction outcomes , 2016, Nature Chemistry.
[38] S. Wold. Validation of QSAR's , 1991 .
[39] Paul Ha-Yeon Cheong,et al. Computational prediction of small-molecule catalysts , 2008, Nature.
[40] W. A. Mueller,et al. THE INFRARED CARBONYL STRETCHING BANDS OF RING SUBSTITUTED ACETOPHENONES , 1957 .
[41] Bing Li,et al. Chemistry informer libraries: a chemoinformatics enabled approach to evaluate and advance synthetic methods† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c5sc04751j , 2016, Chemical science.
[42] C. A. Tolman,et al. Steric effects of phosphorus ligands in organometallic chemistry and homogeneous catalysis , 1977 .
[43] L. Hammett,et al. Some Relations between Reaction Rates and Equilibrium Constants. , 1935 .
[44] Leonardo Belpassi,et al. 13 C NMR Spectroscopy of N-Heterocyclic Carbenes Can Selectively Probe σ Donation in Gold(I) Complexes. , 2017, Chemistry.
[45] S. Winstein,et al. Neighboring Carbon and Hydrogen. XIX. t-Butylcyclohexyl Derivatives. Quantitative Conformational Analysis , 1955 .
[46] Roberto Todeschini,et al. Handbook of Molecular Descriptors , 2002 .
[47] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[48] M. White,et al. Catalyst-controlled aliphatic C-H oxidations with a predictive model for site-selectivity. , 2013, Journal of the American Chemical Society.
[49] L. Hammett,et al. Linear free energy relationships in rate and equilibrium phenomena , 1938 .
[50] Steven E. Wheeler,et al. Substituent effects in the benzene dimer are due to direct interactions of the substituents with the unsubstituted benzene. , 2008, Journal of the American Chemical Society.
[51] Svante Wold,et al. Multivariate quantitative structure-activity relationships (QSAR): conditions for their applicability , 1983, J. Chem. Inf. Comput. Sci..
[52] Manfred T Reetz,et al. New methods for the high-throughput screening of enantioselective catalysts and biocatalysts. , 2002, Angewandte Chemie.
[53] D. Mcdaniel,et al. An Extended Table of Hammett Substitutent Constants Based on the Ionization of Substituted Benzoic Acids , 1958 .
[54] Paola Gramatica,et al. The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models , 2003 .
[55] Christopher M. Hadad,et al. Comparison of different atomic charge schemes for predicting pKa variations in substituted anilines and phenols , 2002 .
[56] Hua Zong,et al. Constructing a quantitative correlation between N-substituent sizes of chiral ligands and enantioselectivities in asymmetric addition reactions of diethylzinc with benzaldehyde. , 2012, The Journal of organic chemistry.
[57] Gadi Rothenberg,et al. Ligand Descriptor Analysis in Nickel‐Catalysed Hydrocyanation: A Combined Experimental and Theoretical Study , 2005 .
[58] Douglas M. Hawkins,et al. The Problem of Overfitting , 2004, J. Chem. Inf. Model..
[59] L. Hammett. The Effect of Structure upon the Reactions of Organic Compounds. Benzene Derivatives , 1937 .
[60] Christophe Copéret,et al. Exploiting and Understanding the Selectivity of Ru-N-Heterocyclic Carbene Metathesis Catalysts for the Ethenolysis of Cyclic Olefins to α,ω-Dienes. , 2017, Journal of the American Chemical Society.
[61] Scott J. Miller,et al. Linear free-energy relationship analysis of a catalytic desymmetrization reaction of a diarylmethane-bis(phenol). , 2010, Organic letters.
[62] Biserka Kojić-Prodić,et al. A quantitative model for predicting enzyme enantioselectivity: application to Burkholderia cepacia lipase and 3-(aryloxy)-1,2-propanediol derivatives. , 2002, Journal of molecular graphics & modelling.
[63] Christophe Copéret,et al. Quantitatively analyzing metathesis catalyst activity and structural features in silica-supported tungsten imido-alkylidene complexes. , 2015, Journal of the American Chemical Society.
[64] Y Inoue,et al. [High-resolution nuclear magnetic resonance]. , 1967, Tanpakushitsu kakusan koso. Protein, nucleic acid, enzyme.
[65] David J Nelson,et al. Quantifying and understanding the steric properties of N-heterocyclic carbenes. , 2017, Chemical communications.
[66] Jochen Autschbach,et al. Scalar Relativistic Computations and Localized Orbital Analyses of Nuclear Hyperfine Coupling and Paramagnetic NMR Chemical Shifts. , 2012, Journal of chemical theory and computation.
[67] Márcia M. C. Ferreira,et al. Is your QSAR/QSPR descriptor real or trash? , 2010 .
[68] Zhi-Min Chen,et al. Palladium-Catalyzed Enantioselective Redox-Relay Heck Arylation of 1,1-Disubstituted Homoallylic Alcohols. , 2016, Journal of the American Chemical Society.
[69] J. Dearden,et al. QSAR modeling: where have you been? Where are you going to? , 2014, Journal of medicinal chemistry.
[70] Anat Milo,et al. Developing a Modern Approach To Account for Steric Effects in Hammett-Type Correlations. , 2016, Journal of the American Chemical Society.
[71] J. D. Sherman,et al. Generalizability of an Organizational Commitment Model , 1981 .
[72] John F. Hartwig,et al. A Simple, Multidimensional Approach to High-Throughput Discovery of Catalytic Reactions , 2011, Science.
[73] Isao Ando,et al. Chemical shift tensor - the heart of NMR: Insights into biological aspects of proteins. , 2010, Progress in nuclear magnetic resonance spectroscopy.
[74] Frank Glorius,et al. Contemporary screening approaches to reaction discovery and development. , 2014, Nature chemistry.
[75] C. Hansch,et al. A NEW SUBSTITUENT CONSTANT, PI, DERIVED FROM PARTITION COEFFICIENTS , 1964 .
[76] Eiji Yamamoto,et al. Mechanistic Investigations of the Pd(0)-Catalyzed Enantioselective 1,1-Diarylation of Benzyl Acrylates. , 2017, Journal of the American Chemical Society.
[77] Matthew S Sigman,et al. Multidimensional steric parameters in the analysis of asymmetric catalytic reactions. , 2012, Nature chemistry.
[78] J V Tu,et al. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. , 1996, Journal of clinical epidemiology.
[79] A. Tropsha,et al. Beware of q2! , 2002, Journal of molecular graphics & modelling.
[80] Matthew S Sigman,et al. Parametrization of Non-covalent Interactions for Transition State Interrogation Applied to Asymmetric Catalysis. , 2017, Journal of the American Chemical Society.
[81] Pavel Polishchuk,et al. Interpretation of Quantitative Structure-Activity Relationship Models: Past, Present, and Future , 2017, J. Chem. Inf. Model..
[82] Christophe Copéret,et al. Orbital Analysis of Carbon-13 Chemical Shift Tensors Reveals Patterns to Distinguish Fischer and Schrock Carbenes. , 2017, Angewandte Chemie.
[83] Neil K Garg,et al. Computational predictions of substituted benzyne and indolyne regioselectivities. , 2015, Tetrahedron letters.
[84] Robert D Clark,et al. Neighborhood behavior: a useful concept for validation of "molecular diversity" descriptors. , 1996, Journal of medicinal chemistry.
[85] M. S. Khots,et al. D-optimal designs , 1995 .
[86] Matthew S Sigman,et al. Inverting Conventional Chemoselectivity in Pd-Catalyzed Amine Arylations with Multiply Halogenated Pyridines. , 2017, Journal of the American Chemical Society.
[87] Robert W. Taft,et al. Linear Free Energy Relationships from Rates of Esterification and Hydrolysis of Aliphatic and Ortho-substituted Benzoate Esters , 1952 .
[88] Jochen Autschbach,et al. Analyzing Pt chemical shifts calculated from relativistic density functional theory using localized orbitals: The role of Pt 5d lone pairs , 2008, Magnetic resonance in chemistry : MRC.
[89] Robert S. Paton,et al. Correlating Reactivity and Selectivity to Cyclopentadienyl Ligand Properties in Rh(III)-Catalyzed C-H Activation Reactions: An Experimental and Computational Study. , 2017, Journal of the American Chemical Society.
[90] Per-Ola Norrby,et al. Prediction of enantioselectivity in rhodium catalyzed hydrogenations. , 2009, Journal of the American Chemical Society.
[91] K. Lipkowitz,et al. Using stereocartography for predicting efficacy of stereoinduction by chiral catalysts. , 2003, Chirality.
[92] Marcus O'Connor,et al. Artificial neural network models for forecasting and decision making , 1994 .
[93] D. Hoekman. Exploring QSAR Fundamentals and Applications in Chemistry and Biology, Volume 1. Hydrophobic, Electronic and Steric Constants, Volume 2 J. Am. Chem. Soc. 1995, 117, 9782 , 1996 .
[94] E. N. Bess,et al. Designer substrate library for quantitative, predictive modeling of reaction performance , 2014, Proceedings of the National Academy of Sciences.
[95] M. Karelson,et al. QSPR: the correlation and quantitative prediction of chemical and physical properties from structure , 1995 .
[96] J. Facelli. Chemical shift tensors: theory and application to molecular structural problems. , 2011, Progress in nuclear magnetic resonance spectroscopy.
[97] P. Chirik,et al. Cobalt Precursors for High-Throughput Discovery of Base Metal Asymmetric Alkene Hydrogenation Catalysts , 2013, Science.
[98] Gadi Rothenberg,et al. Predictive modeling in homogeneous catalysis: a tutorial. , 2010, Chemical Society reviews.
[99] M. Sigman,et al. Three-Dimensional Correlation of Steric and Electronic Free Energy Relationships Guides Asymmetric Propargylation , 2011, Science.
[100] H. H. Jaffé,et al. A Reëxamination of the Hammett Equation. , 1953 .
[101] Gadi Rothenberg,et al. Design and assembly of virtual homogeneous catalyst libraries - towards in silico catalyst optimisation , 2006 .
[102] S. L. Dixon,et al. Quantum mechanical models correlating structure with selectivity: predicting the enantioselectivity of beta-amino alcohol catalysts in aldehyde alkylation. , 2003, Journal of the American Chemical Society.
[103] Stéphanie Halbert,et al. Elucidating the Link between NMR Chemical Shifts and Electronic Structure in d(0) Olefin Metathesis Catalysts. , 2016, Journal of the American Chemical Society.
[104] Vittorio Scarano,et al. SambVca: A Web Application for the Calculation of the Buried Volume of N‐Heterocyclic Carbene Ligands , 2009 .
[105] Corwin Hansch,et al. A survey of Hammett substituent constants and resonance and field parameters , 1991 .
[106] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[107] Gadi Rothenberg,et al. Combinatorial explosion in homogeneous catalysis: Screening 60,000 cross-coupling reactions , 2004 .
[108] Christopher M. Hadad,et al. Substituent effects on the electronic structure and pKa of benzoic acid , 2002 .
[109] Alexander Golbraikh,et al. Data Set Modelability by QSAR , 2014, J. Chem. Inf. Model..
[110] Huw M. L. Davies,et al. Using IR vibrations to quantitatively describe and predict site-selectivity in multivariate Rh-catalyzed C–H functionalization† †Electronic supplementary information (ESI) available: Experimental procedures, tabulated descriptors, and model development MATLAB commands. See DOI: 10.1039/c5sc00357a , 2015, Chemical science.
[111] Yang Liu,et al. Study on the Catalytic Behavior of Bifunctional Hydrogen-Bonding Catalysts Guided by Free Energy Relationship Analysis of Steric Parameters. , 2017, Chemistry.
[112] J. Habbema,et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. , 2001, Journal of clinical epidemiology.
[113] Luigi Cavallo,et al. A Combined Experimental and Theoretical Study Examining the Binding of N-Heterocyclic Carbenes (NHC) to the Cp*RuCl (Cp* = η5-C5Me5) Moiety: Insight into Stereoelectronic Differences between Unsaturated and Saturated NHC Ligands , 2003 .
[114] L. Cavallo,et al. SambVca 2. A Web Tool for Analyzing Catalytic Pockets with Topographic Steric Maps , 2016 .
[115] Jochen Autschbach,et al. Analyzing NMR shielding tensors calculated with two-component relativistic methods using spin-free localized molecular orbitals. , 2008, The Journal of chemical physics.
[116] J. Reek,et al. Ligand Bite Angle Effects in Metal-catalyzed C-C Bond Formation. , 2000, Chemical reviews.
[117] R. Carlson,et al. Design and optimization in organic synthesis , 1991 .
[118] Brian D. Ripley,et al. Regression techniques for the detection of analytical bias , 1987 .
[119] Derek Hudson,et al. Ligand-selection rules in the classical zinc finger motif , 1991 .
[120] E. Jacobsen,et al. The Mechanistic Basis for Electronic Effects on Enantioselectivity in the (salen)Mn(III)-Catalyzed Epoxidation Reaction , 1998 .
[121] James C Spall,et al. Factorial Design for Efficient Experimentation , 2010, IEEE Control Systems.
[122] Zoran Bursac,et al. Purposeful selection of variables in logistic regression , 2008, Source Code for Biology and Medicine.
[123] Davide Ballabio,et al. Evaluation of model predictive ability by external validation techniques , 2010 .
[124] David P Hickey,et al. Physical Organic Approach to Persistent, Cyclable, Low-Potential Electrolytes for Flow Battery Applications. , 2017, Journal of the American Chemical Society.
[125] F. Dean Toste,et al. Exploiting non-covalent π interactions for catalyst design , 2017, Nature.