A visualizable and widely applicable steric repulsion descriptor for guiding experimental chemistry

While steric effects fundamentally shape molecular behavior and are experiencing renewed interest across chemistry, visualizing where they occur remains challenging. Indeed, steric interactions have traditionally been depicted in a qualitative, often sketchy manner. We present SELF (Steric Exclusion Localization Function), which enables the quantification, atomic resolution, and visualization of steric repulsion in three dimensions (whether between molecules or between fragments of a single molecule) directly from quantum-mechanical calculations. Accessible through the user-friendly IGMPlot software, SELF transforms abstract quantum-mechanical concepts into visual insights that chemists can immediately interpret and apply. We illustrate SELF's versatility across diverse chemical systems: from understanding atropisomerism in pharmaceutical scaffolds to rationalizing selectivity in catalysis through steric effects of phosphorus ligands in organometallic chemistry. Unlike traditional quantum-mechanical methods which condense the characteristics of steric effects into a single number, SELF provides unprecedented spatial resolution of steric clashes while maintaining rigorous quantitative analysis. This approach bridges the gap between theoretical concepts and practical chemical understanding, making sophisticated quantum-mechanical analysis accessible to the broader chemical community. We hope this tool will prove valuable for chemical design, research applications, and teaching steric effects.

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Publication Details

Journal
Chemical Science
Published
2026-01-01
DOI
https://doi.org/10.1039/d5sc07952g
Citations
1
Primary Topic
Various Chemistry Research Topics
Type
article
Field-Weighted Citation Impact
26.05

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article

A visualizable and widely applicable steric repulsion descriptor for guiding experimental chemistry

Hassan Khartabil, Prof. Eric Hénon, Corentin Lefebvre, Julien PILME et al.
1 citations
Chemical Science
Various Chemistry Research Topics
26.05
article

A visualizable and widely applicable steric repulsion descriptor for guiding experimental chemistry

Hassan Khartabil, Prof. Eric Hénon, Corentin Lefebvre, Julien PILME, Akilan Rajamani, Guillaume Hénon Just
article en
1 citations

Abstract

While steric effects fundamentally shape molecular behavior and are experiencing renewed interest across chemistry, visualizing where they occur remains challenging. Indeed, steric interactions have traditionally been depicted in a qualitative, often sketchy manner. We present SELF (Steric Exclusion Localization Function), which enables the quantification, atomic resolution, and visualization of steric repulsion in three dimensions (whether between molecules or between fragments of a single molecule) directly from quantum-mechanical calculations. Accessible through the user-friendly IGMPlot software, SELF transforms abstract quantum-mechanical concepts into visual insights that chemists can immediately interpret and apply. We illustrate SELF's versatility across diverse chemical systems: from understanding atropisomerism in pharmaceutical scaffolds to rationalizing selectivity in catalysis through steric effects of phosphorus ligands in organometallic chemistry. Unlike traditional quantum-mechanical methods which condense the characteristics of steric effects into a single number, SELF provides unprecedented spatial resolution of steric clashes while maintaining rigorous quantitative analysis. This approach bridges the gap between theoretical concepts and practical chemical understanding, making sophisticated quantum-mechanical analysis accessible to the broader chemical community. We hope this tool will prove valuable for chemical design, research applications, and teaching steric effects.

Chemical ScienceVol. 17(11)
Centre National de la Recherche Scientifique (FR), École nationale des ponts et chaussées (FR), Sorbonne Université (FR), Laboratoire de Chimie Théorique (FR), Laboratoire de Glycochimie, des Antimicrobiens et des Agroressources (FR), Institut de Chimie Moléculaire de Reims (FR), Université de Picardie Jules Verne (FR), Université de Reims Champagne-Ardenne (FR)
National Cancer Institute
Openalex Percentile: Top 2%
Various Chemistry Research Topics
26.05
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