Evidence map›Paper›PMID 39265068›Full record

ArticleJournal of chemical information and modeling2024

Quantum Chemical Characterization of Rotamerism in Thio-Michael Additions for Targeted Covalent Inhibitors.

Shayantan Chaudhuri, David M Rogers, Christopher J Hayes, Katherine Inzani, Jonathan D Hirst

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shayantan ChaudhuriSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K.ORCID 0000-0003-4299-1837
David M RogersSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K.ORCID 0000-0003-2167-113X
Christopher J HayesSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K.ORCID 0000-0003-1692-3646
Katherine InzaniSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K.
Jonathan D HirstSchool of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K.ORCID 0000-0002-2726-0983

Funding

Wellcome Trust
6 · The paper itself

Abstract

Myotonic dystrophy type I (DM1) is the most common form of adult muscular dystrophy and is a severe condition with no treatment currently available. Recently, small-molecule ligands have been developed as targeted covalent inhibitors that have some selectivity for and covalently inhibit cyclin-dependent kinase 12 (CDK12). CDK12 is involved in the transcription of elongated RNA sections that results in the DM1 condition. The covalent bond is achieved after nucleophilic addition to a Michael acceptor warhead. Previous studies of the conformational preferences of thio-Michael additions have focused on characterizing the reaction profile based on the distance between the sulfur and β-carbon atoms. Rotamerism, however, has not been investigated extensively. Here, we use high-level quantum chemistry calculations, up to coupled cluster with single, double, and perturbative triple excitations [CCSD(T)], to characterize the nucleophilic addition of an archetypal nucleophile, methanethiolate, to various nitrogen-containing Michael acceptors which are representative of the small-molecule covalent inhibitors. By investigating the structural, energetic, and electronic properties of the resulting enolates, as well as their reaction profiles, we show that synclinal additions are generally energetically favored over other additions due to the greater magnitude of attractive noncovalent interactions permitted by the conformation. The calculated transition states associated with the addition process indicate that synclinal addition proceeds via lower energetic barriers than antiperiplanar addition and is the preferred reaction pathway.

Indexed as

Quantum TheoryModels, MolecularMolecular ConformationProtein Kinase InhibitorsSulfhydryl CompoundsProtein Kinase InhibitorsSulfhydryl Compounds

Identifiers

PMID39265068
PMCPMC11480980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.