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Limitations of Ligand-Only Approaches for Predicting the Reactivity of Covalent Inhibitors
- Source :
- Voice, A, Tresadern, G, van Vlijmen, H & Mulholland, A J 2019, ' Limitations of ligand-only approaches for predicting the reactivity of covalent inhibitors ', Journal of Chemical Information and Modeling . https://doi.org/10.1021/acs.jcim.9b00404
- Publication Year :
- 2019
-
Abstract
- Covalent inhibition has undergone a resurgence and is an important modern-day drug design and chemical biology approach. To avoid off-target interactions and to fine-tune reactivity, the ability to accurately predict reactivity is vitally important for the design and development of safer and more effective covalent drugs. Several ligand-only metrics have been proposed that promise quick and simple ways of determining covalent reactivity. In particular, we examine proton affinity and reaction energies calculated with the density functional B3LYP-D3/6-311+G**//B3LYP-D3/6-31G* method to assess the reactivity of a series of α,β-unsaturated carbonyl compounds that form covalent adducts with cysteine. We demonstrate that while these metrics correlate well with experiment for a diverse range of small reactive molecules these approaches fail for predicting the reactivity of drug-like compounds. We conclude that ligand-only metrics such as proton affinity and reaction energies do not capture determinants of reactivity in situ and fail to account for important factors such as conformation, solvation, and intermolecular interactions.
- Subjects :
- Drug
Models, Molecular
General Chemical Engineering
media_common.quotation_subject
Chemical biology
Proton affinity
Drug discovery
Library and Information Sciences
01 natural sciences
Biochemistry
Computational Chemistry
0103 physical sciences
Reactivity (chemistry)
Density Functional Theory
media_common
Acrylamides
010304 chemical physics
Molecular Structure
Chemistry
Reactivity prediction
Covalent
General Chemistry
Ligand (biochemistry)
Combinatorial chemistry
Glutathione
0104 chemical sciences
Computer Science Applications
010404 medicinal & biomolecular chemistry
Covalent bond
TCI
Drug Design
Density functional theory
Subjects
Details
- ISSN :
- 1549960X
- Volume :
- 59
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Journal of chemical information and modeling
- Accession number :
- edsair.doi.dedup.....299cc046a42089289b717502667a3538