The Pentafluorosulfanyl Group (SF5)

The pentafluorosulfanyl group (SF5) is emerging as a noteworthy functional group in medicinal chemistry and materials science. Characterized by its high electronegativity and thermal stability, the SF5 group is gaining attention for its unique properties and potential applications.

Unique Properties of the SF5 Group

The SF5 group consists of a sulfur atom bonded to five fluorine atoms. Here's what pentafluorosulfanylbenzene looks like at the AIMNet2 level of theory:

This structure imparts several distinctive characteristics:

  1. High Electronegativity: Fluorine atoms confer a strong electron-withdrawing effect, making SF5 one of the most electronegative groups. This can significantly alter the electronic properties of molecules.

  2. Thermal and Chemical Stability: The strong S-F bonds render the SF5 group highly resistant to thermal decomposition and chemical reactions, an advantageous property for developing stable compounds.

  3. Lipophilicity and Membrane Permeability: Despite its high electronegativity, the SF5 group can increase the lipophilicity of molecules, enhancing their membrane permeability. This is particularly valuable in drug design, as it can improve bioavailability.

These unique properties make the SF5 group an attractive bioisostere for tert-butyl groups, CF3 groups, and nitro groups, as described in this article by Colby and co-workers.

Applications in Medicinal Chemistry

In medicinal chemistry, the SF5 group is valued for its ability to modulate the pharmacokinetic and pharmacodynamic properties of therapeutic compounds:

  1. Enhancing Drug Efficacy: The addition of an SF5 group can enhance the binding affinity of a drug to its target, potentially increasing efficacy.

  2. Improving Metabolic Stability: The chemical robustness of the SF5 group can help prevent metabolic degradation, extending the drug's effective lifespan in the body.

  3. Altering Distribution and Excretion: Modifying a drug with an SF5 group can influence its distribution within the body and its excretion, optimizing therapeutic effects and minimizing side effects.

Indeed, compounds containing SF5 groups have already demonstrated efficacy in some cases, as shown in this work from Park and co-workers and this work from Ming-Wei Wang, Wei Lu, and co-workers.

Quantum Chemical Insights

Quantum chemical methods can provide deep insights into the behavior of SF5-containing compounds. For instance, computational studies can predict how the introduction of an SF5 group affects molecular geometry, electronic distribution, and reactivity. However, the size and complexity of SF5 make quantum chemical calculations challenging, often necessitating advanced computational methods.

The Role of Rowan

Rowan's cloud-based quantum chemistry platform can play a crucial role in studying SF5-modified molecules. By leveraging machine learning algorithms and efficient computational strategies, Rowan enables researchers to overcome the computational barriers associated with SF5. This makes it possible to accurately model and predict the properties of SF5-containing compounds, facilitating their design and optimization.

Challenges and Future Perspectives

Despite its promising attributes, the SF5 group presents challenges in synthesis and handling due to its reactivity and the difficulty of introducing it into organic molecules. While some progress has been made recently, future research is likely to focus on developing more straightforward synthetic routes and understanding the environmental impact of SF5-containing compounds.

Conclusion

The pentafluorosulfanyl group is a fascinating functional group with significant potential in various fields, especially in drug development. As we continue to explore its applications and overcome its challenges, tools like Rowan will be invaluable in advancing our understanding and utilization of this unique group.

For chemists and researchers interested in exploring the potential of SF5 in their work, Rowan offers the computational power and tools needed to push the boundaries of this exciting field. To start leveraging Rowan's capabilities, visit labs.rowansci.com/create-account and join the community of innovators today.

Banner background image

What to Read Next

What Ishaan and Vedant Learned This Summer

What Ishaan and Vedant Learned This Summer

Reflections from two of our interns on their time at Rowan and a few things they learned.
Aug 15, 2025 · Ishaan Ganti and Vedant Nilabh
Projects: Organization, Sharing, and Saving Structures

Projects: Organization, Sharing, and Saving Structures

better organization through projects; saving structures; usage tracking; new conf. search features; second-order SCF; ex. API repo; SMILES imports; a guide to the pKa-perplexed; our inaugural demo day
Aug 14, 2025 · Ari Wagen, Spencer Schneider, Corin Wagen, and Jonathon Vandezande
Macroscopic and Microscopic pKa

Macroscopic and Microscopic pKa

Two different ways to calculate acidity, what they mean, and when to use them.
Aug 11, 2025 · Corin Wagen
Computational Chemistry in the Classroom

Computational Chemistry in the Classroom

chemical modeling; Diels–Alder; call for more labs
Jul 31, 2025 · Jonathon Vandezande and Isaiah Sippel
Modeling Thia-Michael Reactions

Modeling Thia-Michael Reactions

In which the addition of a thiolate to an enone proves to be unexpectedly difficult to model.
Jul 25, 2025 · Corin Wagen
API v2, New BDE Methods, MCP, And More

API v2, New BDE Methods, MCP, And More

new API philosophy; streamlined interfaces for workflows; using NNPs and g-xTB to predict bond strength; an MCP server; .sdf files; benchmarking protein–ligand interactions; Diels–Alder visualizations
Jul 21, 2025 · Spencer Schneider, Corin Wagen, Ari Wagen, Jonathon Vandezande, Ishaan Ganti, and Isaiah Sippel
ExpBDE54: A Slim Experimental Benchmark for Exploring the Pareto Frontier of Bond-Dissociation-Enthalpy-Prediction Methods

ExpBDE54: A Slim Experimental Benchmark for Exploring the Pareto Frontier of Bond-Dissociation-Enthalpy-Prediction Methods

ExpBDE54 is a benchmark dataset of experimental homolytic bond-dissociation enthalpies (BDEs) for 54 small molecules, used for benchmarking DFT, semiempirical methods, and NNPs.
Jul 17, 2025 · Jonathon E. Vandezande, Corin C. Wagen
Benchmarking Protein–Ligand Interaction Energy

Benchmarking Protein–Ligand Interaction Energy

How new low-cost computational methods perform on the PLA15 benchmark.
Jul 11, 2025 · Ishaan Ganti
Efficient Black-Box Prediction of Hydrogen-Bond-Donor and Acceptor Strength

Efficient Black-Box Prediction of Hydrogen-Bond-Donor and Acceptor Strength

Here, we report a robust black-box workflow for predicting site-specific hydrogen-bond basicity and acidity in organic molecules with minimal computational cost.
Jul 1, 2025 · Corin C. Wagen
Tracking Boltz-2 Benchmarks

Tracking Boltz-2 Benchmarks

Tracking the community's response to the new Boltz-2 model, plus some notes about Chai-2.
Jul 1, 2025 · Corin Wagen