Synthesis, crystal structure elucidation, theoretical characterization and thermochemistry analysis of the potential anticancer drug BFS.

  • Published In: Acta Crystallographica Section C: Structural Chemistry, 2025, v. 81, n. 3. P. 156 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hoelm, Marta; Wzgarda-Raj, Kinga; Kinart, Zdzislaw; Kost, Bartlomiej; Brzezinski, Marek; Staniec, Paulina 3 of 3

Abstract

The potential anticancer drug for leukemia, butane‐1,4‐diyl bis(2,2,2‐trifluoroethane‐1‐sulfonate) (BFS), C8H12F6O6S2, a fluorine analogue of busulfan, was synthesized and analyzed for the first time using various experimental and theoretical techniques, including NMR spectroscopy, single‐crystal X‐ray diffraction, thermochemistry and computational methods. Crystallographic analysis revealed that BFS crystallizes in the monoclinic space group P21/n, with its structure stabilized by covalent bonding, torsional flexibility and hydrogen bonding. Efficient packing and symmetry interactions balance density and stability. Theoretical calculations, using molecular mechanics, semi‐empirical methods and density functional theory (DFT), with functionals such as M06‐2X‐D3, M08‐HX‐D3, CAM‐B3LYP‐D3 and B97D3, confirmed that BFS adopts a compact geometry stabilized by intramolecular hydrogen bonds, consistent with spectroscopic measurements. Gravimetric analysis was used to estimate the solubility of BFS in water at room temperature. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Acta Crystallographica Section C: Structural Chemistry. 2025/03, Vol. 81, Issue 3, p156
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:2053-2296
  • DOI:10.1107/S2053229625001299
  • Accession Number:183918330
  • Copyright Statement:Copyright of Acta Crystallographica Section C: Structural Chemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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