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Understanding the Enzyme ( S )-Norcoclaurine Synthase Promiscuity to Aldehydes and Ketones.

Authors :
Salvatti BA
Chagas MA
Fernandes PO
Ladeira YFX
Bozzi AS
Valadares VS
Valente AP
de Miranda AS
Rocha WR
Maltarollo VG
Moraes AH
Source :
Journal of chemical information and modeling [J Chem Inf Model] 2024 Jun 10; Vol. 64 (11), pp. 4462-4474. Date of Electronic Publication: 2024 May 22.
Publication Year :
2024

Abstract

The ( S )-norcoclaurine synthase from Thalictrum flavum ( Tf NCS) stereoselectively catalyzes the Pictet-Spengler reaction between dopamine and 4-hydroxyphenylacetaldehyde to give ( S )-norcoclaurine. Tf NCS can catalyze the Pictet-Spengler reaction with various aldehydes and ketones, leading to diverse tetrahydroisoquinolines. This substrate promiscuity positions Tf NCS as a highly promising enzyme for synthesizing fine chemicals. Understanding carbonyl-containing substrates' structural and electronic signatures that influence Tf NCS activity can help expand its applications in the synthesis of different compounds and aid in protein optimization strategies. In this study, we investigated the influence of the molecular properties of aldehydes and ketones on their reactivity in the Tf NCS-catalyzed Pictet-Spengler reaction. Initially, we compiled a library of reactive and unreactive compounds from previous publications. We also performed enzymatic assays using nuclear magnetic resonance to identify some reactive and unreactive carbonyl compounds, which were then included in the library. Subsequently, we employed QSAR and DFT calculations to establish correlations between substrate-candidate structures and reactivity. Our findings highlight correlations of structural and stereoelectronic features, including the electrophilicity of the carbonyl group, to the reactivity of aldehydes and ketones toward the Tf NCS-catalyzed Pictet-Spengler reaction. Interestingly, experimental data of seven compounds out of fifty-three did not correlate with the electrophilicity of the carbonyl group. For these seven compounds, we identified unfavorable interactions between them and the Tf NCS. Our results demonstrate the applications of in silico techniques in understanding enzyme promiscuity and specificity, with a particular emphasis on machine learning methodologies, DFT electronic structure calculations, and molecular dynamic (MD) simulations.

Details

Language :
English
ISSN :
1549-960X
Volume :
64
Issue :
11
Database :
MEDLINE
Journal :
Journal of chemical information and modeling
Publication Type :
Academic Journal
Accession number :
38776464
Full Text :
https://doi.org/10.1021/acs.jcim.3c01773