Year |
Citation |
Score |
2024 |
Schnitzer T, Schnurr M, Zahrt AF, Sakhaee N, Denmark SE, Wennemers H. Machine Learning to Develop Peptide Catalysts-Successes, Limitations, and Opportunities. Acs Central Science. 10: 367-373. PMID 38435528 DOI: 10.1021/acscentsci.3c01284 |
0.531 |
|
2024 |
Delaney CP, Zahrt AF, Kassel VM, Denmark SE. Effects of Ring Size and Steric Encumbrance on Boron-to-Palladium Transmetalation from Arylboronic Esters. The Journal of Organic Chemistry. PMID 38421803 DOI: 10.1021/acs.joc.3c02629 |
0.49 |
|
2023 |
Rinehart NI, Saunthwal RK, Wellauer J, Zahrt AF, Schlemper L, Shved AS, Bigler R, Fantasia S, Denmark SE. A machine-learning tool to predict substrate-adaptive conditions for Pd-catalyzed C-N couplings. Science (New York, N.Y.). 381: 965-972. PMID 37651532 DOI: 10.1126/science.adg2114 |
0.583 |
|
2022 |
Zahrt AF, Mo Y, Nandiwale KY, Shprints R, Heid E, Jensen KF. Machine-Learning-Guided Discovery of Electrochemical Reactions. Journal of the American Chemical Society. PMID 36459170 DOI: 10.1021/jacs.2c08997 |
0.307 |
|
2021 |
Rinehart NI, Zahrt AF, Denmark SE. Leveraging Machine Learning for Enantioselective Catalysis: From Dream to Reality. Chimia. 75: 592-597. PMID 34523399 DOI: 10.2533/chimia.2021.592 |
0.523 |
|
2021 |
Rinehart NI, Zahrt AF, Henle JJ, Denmark SE. Dreams, False Starts, Dead Ends, and Redemption: A Chronicle of the Evolution of a Chemoinformatic Workflow for the Optimization of Enantioselective Catalysts. Accounts of Chemical Research. PMID 33856771 DOI: 10.1021/acs.accounts.0c00826 |
0.573 |
|
2020 |
Zahrt AF, Henle JJ, Denmark SE. Cautionary Guidelines for Machine Learning Studies with Combinatorial Datasets. Acs Combinatorial Science. PMID 33000621 DOI: 10.1021/acscombsci.0c00118 |
0.621 |
|
2020 |
Henle JJ, Zahrt AF, Rose BT, Darrow WT, Wang Y, Denmark SE. Development of a Computer-Guided Workflow for Catalyst Optimization. Descriptor Validation, Subset Selection, and Training Set Analysis. Journal of the American Chemical Society. PMID 32568531 DOI: 10.1021/jacs.0c04715 |
0.528 |
|
2019 |
Zahrt AF, Denmark SE. Evaluating continuous chirality measure as a 3D descriptor in chemoinformatics applied to asymmetric catalysis. Tetrahedron Letters. 75: 1841-1851. PMID 31983782 DOI: 10.1016/J.Tet.2019.02.007 |
0.417 |
|
2019 |
Zahrt AF, Athavale SV, Denmark SE. Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future. Chemical Reviews. PMID 31886649 DOI: 10.1021/acs.chemrev.9b00425 |
0.612 |
|
2019 |
Zahrt AF, Henle JJ, Rose BT, Wang Y, Darrow WT, Denmark SE. Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning. Science (New York, N.Y.). 363. PMID 30655414 DOI: 10.1126/Science.Aau5631 |
0.615 |
|
2018 |
Thomas AA, Zahrt AF, Delaney CP, Denmark SE. Elucidating the Role of the Boronic Esters in the Suzuki-Miyaura Reaction: Structural, Kinetic, and Computational Investigations. Journal of the American Chemical Society. PMID 29543441 DOI: 10.1021/Jacs.8B00400 |
0.587 |
|
2017 |
Thomas AA, Wang H, Zahrt AF, Denmark SE. Structural, Kinetic, and Computational Characterization of the Elusive Arylpalladium(II)boronate Complexes in the Suzuki-Miyaura Reaction. Journal of the American Chemical Society. PMID 28266847 DOI: 10.1021/Jacs.6B13384 |
0.45 |
|
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