Structure of 21032-12-2
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The BI-3802 was designed by Boehringer Ingelheim and could be obtained free of charge through the Boehringer Ingelheim open innovation portal opnMe.com, associated with its negative control.
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Yuan, Xin ; Lee, Kwanpyung ; Schmidt, JR ; Choi, Kyoung-Shin ;
Abstract: Stereocontrol is of critical importance in organic synthesis. In this study, we demonstrate how heterogeneous electrochemical hydrogenation enables diastereocontrol simply by tuning electrochemical hydrogenation mechanisms without altering the adsorption conformation of a reactant on the electrode. We use 4- hydroxy-1-tetralone (4-OH-tetralone) as a model reactant, where diastereomers can be produced during the hydrogenation of the carbonyl group. In traditional thermocatalytic hydrogenation, H2 first dissociates on the catalyst surface to form surface-adsorbed hydrogen (H*), and therefore, H* is always added to the organic reactant from the catalyst side via hydrogen atom transfer (HAT). Thus, in order to flip the diastereoselectivity, the adsorbed reactant itself must be physically flipped. In contrast, electrochemical hydrogenation can occur either via HAT, where H is added from the electrode surface, or via proton-coupled electron transfer (PCET), where H is added from the solution side of the adsorbed reactant. Thus, without changing the adsorption conformation of the reactant, opposite diastereomers can be obtained by switching the hydrogenation mechanism (HAT vs PCET). In this work, using a combination of experimental and computational studies, we demonstrate two examples of flipping diastereoselectivity by different electrochemical hydrogenation mechanisms. In the first case, we achieve opposite diastereoselectivities using metals that adopt different hydrogenation mechanisms (HAT vs PCET). In the second case, we flip the diastereoselectivity by varying the applied potential, which switches one hydrogenation mechanism to the other on the same metal electrode. In each case, our results offer an atomiclevel understanding of the preferred hydrogenation mechanism that enables the corresponding diastereoselectivity.
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Keywords: electrochemical hydrogenation ; diastereoselectivity ; hydrogen atom transfer ; proton-coupled electron transfer ; electrochemical diastereocontrol
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CAS No. : | 21032-12-2 |
Formula : | C10H10O2 |
M.W : | 162.19 |
SMILES Code : | O=C1CCC(O)C2=C1C=CC=C2 |
MDL No. : | MFCD11036279 |
InChI Key : | BGPJTIXJFAGUIF-UHFFFAOYSA-N |
Pubchem ID : | 152325 |
GHS Pictogram: |
![]() |
Signal Word: | Warning |
Hazard Statements: | H302-H315-H319-H335 |
Precautionary Statements: | P261-P305+P351+P338 |
Num. heavy atoms | 12 |
Num. arom. heavy atoms | 6 |
Fraction Csp3 | 0.3 |
Num. rotatable bonds | 0 |
Num. H-bond acceptors | 2.0 |
Num. H-bond donors | 1.0 |
Molar Refractivity | 45.46 |
TPSA ? Topological Polar Surface Area: Calculated from |
37.3 Ų |
Log Po/w (iLOGP)? iLOGP: in-house physics-based method implemented from |
1.65 |
Log Po/w (XLOGP3)? XLOGP3: Atomistic and knowledge-based method calculated by |
0.91 |
Log Po/w (WLOGP)? WLOGP: Atomistic method implemented from |
1.37 |
Log Po/w (MLOGP)? MLOGP: Topological method implemented from |
1.08 |
Log Po/w (SILICOS-IT)? SILICOS-IT: Hybrid fragmental/topological method calculated by |
2.11 |
Consensus Log Po/w? Consensus Log Po/w: Average of all five predictions |
1.42 |
Log S (ESOL):? ESOL: Topological method implemented from |
-1.79 |
Solubility | 2.64 mg/ml ; 0.0163 mol/l |
Class? Solubility class: Log S scale |
Very soluble |
Log S (Ali)? Ali: Topological method implemented from |
-1.28 |
Solubility | 8.54 mg/ml ; 0.0526 mol/l |
Class? Solubility class: Log S scale |
Very soluble |
Log S (SILICOS-IT)? SILICOS-IT: Fragmental method calculated by |
-2.58 |
Solubility | 0.428 mg/ml ; 0.00264 mol/l |
Class? Solubility class: Log S scale |
Soluble |
GI absorption? Gatrointestinal absorption: according to the white of the BOILED-Egg |
High |
BBB permeant? BBB permeation: according to the yolk of the BOILED-Egg |
Yes |
P-gp substrate? P-glycoprotein substrate: SVM model built on 1033 molecules (training set) |
No |
CYP1A2 inhibitor? Cytochrome P450 1A2 inhibitor: SVM model built on 9145 molecules (training set) |
No |
CYP2C19 inhibitor? Cytochrome P450 2C19 inhibitor: SVM model built on 9272 molecules (training set) |
No |
CYP2C9 inhibitor? Cytochrome P450 2C9 inhibitor: SVM model built on 5940 molecules (training set) |
No |
CYP2D6 inhibitor? Cytochrome P450 2D6 inhibitor: SVM model built on 3664 molecules (training set) |
No |
CYP3A4 inhibitor? Cytochrome P450 3A4 inhibitor: SVM model built on 7518 molecules (training set) |
No |
Log Kp (skin permeation)? Skin permeation: QSPR model implemented from |
-6.64 cm/s |
Lipinski? Lipinski (Pfizer) filter: implemented from |
0.0 |
Ghose? Ghose filter: implemented from |
None |
Veber? Veber (GSK) filter: implemented from |
0.0 |
Egan? Egan (Pharmacia) filter: implemented from |
0.0 |
Muegge? Muegge (Bayer) filter: implemented from |
1.0 |
Bioavailability Score? Abbott Bioavailability Score: Probability of F > 10% in rat |
0.55 |
PAINS? Pan Assay Interference Structures: implemented from |
0.0 alert |
Brenk? Structural Alert: implemented from |
0.0 alert: heavy_metal |
Leadlikeness? Leadlikeness: implemented from |
No; 1 violation:MW<1.0 |
Synthetic accessibility? Synthetic accessibility score: from 1 (very easy) to 10 (very difficult) |
2.06 |
* All experimental methods are cited from the reference, please refer to the original source for details. We do not guarantee the accuracy of the content in the reference.
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