Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Direct access to ligand-like sulfonamide libraries via acid-catalyzed sulfinamide crossover

Vladimír Nosek, Anna Šimková and Jiří Míšek*
Department of Organic Chemistry, Faculty of Science, Charles, University in Prague, Hlavova 2030/8, 12843 Prague 2, Czech Republic. E-mail: misek@natur.cuni.cz

Received 24th January 2026 , Accepted 13th March 2026

First published on 23rd March 2026


Abstract

We introduce sulfinamide crossover as a new dynamic covalent reaction that rapidly generates ligand-like libraries via reversible S–N exchange under mild acid catalysis. The resulting mixtures can be oxidatively locked into medicinally relevant sulfonamides and directly screened by LC-MS.


Functional groups capable of a crossover (exchange) reaction form the basis of dynamic covalent chemistry (DCC).1–3 Alkenes, disulfides, imines etc. have been extensively explored in the field for the discovery of new receptors,4–10 materials,11–20 catalysts,21–26 and ligands for biomolecules.27–42 The application of the crossover reaction for the efficient generation of libraries for ligand discovery is of particular interest. Dynamic or pre-equilibrated combinatorial libraries have served as a powerful tool for protein ligand discovery. However, wider adoption of the technology has been hampered by limited diversity of the libraries that can stem from availability of suitable substrates. Also, low ligand-like characteristics, limiting chemistry of the crossover functional groups, and analytical challenges of complex mixtures contributed to the slower progress and broader implementation of DCC in drug discovery. We envisioned that new functional groups capable of crossover reactions that are drug-like, structurally modular, synthetically accessible and compatible with affinity-based screening would overcome the above-mentioned limitations and create a truly general platform for protein ligand optimization and discovery. Here, we report the application of new sulfinamide crossover reaction for the straightforward assembly of ligand-like libraries from simple building blocks, and their use for protein ligand identification by means of affinity selection mass spectrometry (AS-MS).

Recently, we showed that sulfinamides undergo rapid and reversible crossover under mild acid catalysis, forming nearly equimolar mixtures of products while tolerating diverse structural features.43 Also, mild oxidation of sulfinamides to sulfonamides freezes the dynamic nature of the libraries while providing a medicinally relevant functional group (Fig. 1a). Importantly, sulfinamide substrates are readily accessible in one-pot reactions from sulfonyl chlorides or thiols and primary and secondary amines.44–48 An estimated several thousand sulfonyl chlorides or thiols and tens of thousands of primary and secondary amines are commercially available, providing a rich feedstock for constructing structurally diverse libraries for ligand optimization and discovery. Furthermore, recent advances in sulfinamide synthesis continue to expand their accessibility,49–58 facilitating the preparation of sulfoximines and sulfonimidamides, which are increasingly prominent scaffolds in medicinal chemistry.59–63


image file: d6ra00651e-f1.tif
Fig. 1 (a) A scheme showing dynamic nature of sulfinamides under acidic condition and its cessation by oxidation. (b) Methods used for the preparation of sulfinamides. (c) Sulfinamides used for the preparation of libraries by the crossover reaction. Substituents marked in blue form a reported factor Xa sulfonamide inhibitor ED′(o).

To evaluate the robustness of the sulfinamide crossover for library construction, a set of ten sulfinamides AA–JJ with drug-like characteristics was prepared for further experimentation (Fig. 1c). The synthesis of the sulfinamides was achieved through either reductive approach starting from sulfonyl chlorides or by oxidative pathway using thiols as a starting material (Fig. 1b). The S- and N-substituents were selected to avoid isobaric compounds in the resulting crossover library, thereby enabling straightforward identification of library members by HPLC-MS. However, such anisobaric design is not strictly required, as both sulfinamides and sulfonamides typically provide diagnostic fragments of S–N bond cleavage even at the MS1 level. Compounds DD′ and EE′ were included because their substituents D′ and E form the known sulfonamide inhibitor ED′(o) of a coagulation factor Xa. Also, a structural analog (I′) of the N-substituent D′ with known lower inhibitor potency was included. We subjected sulfinamides AA′–JJ′ to the crossover reaction and monitored the progress over time. Clearly, the crossover proceeded efficiently and within 4 hours a new library of sulfinamides was detected by HPLC-MS analysis. We also collected 2 h and 24 h timepoints. Comparison of the libraries at given times showed that there was still growth of intensity of a few new sulfinamides going from 2 to 4 hours. On the other hand, the 24 h library showed a slight decline of some signals observed that indicated possible slow decomposition of the library (Fig. S1). These experiments indicated that the 4 h library reached the equilibrium state. Out of 100 theoretically accessible crossover products, we detected 96 compounds by an automated mass search protocol (Fig. 2b). The four undetected crossover products all contain 3,5-difluorophenyl S-substituent (I), which we attribute to suppressed ESI ionization due to reduced polarity or altered proton affinity.64 Nevertheless, the appearance of the corresponding N-substituent I′ in all other crossover products confirms that its precursor underwent the crossover. In general, sulfinamides with electron withdrawing aromatic S-substituents provide signals of lower intensity that is more dependent on the N-substitution. Contrary to that electron donating aromatic S-substituents gave relatively strong signal less dependent on the nature of the N-substituent. The extracted ion intensities of the compounds in the library span the range of several orders of magnitude, nevertheless even the lower intensity products remained readily detectable.


image file: d6ra00651e-f2.tif
Fig. 2 Heatmap plots showing extracted ion intensities of compounds in (a) substrates for library A, (b) crossover reaction leading to library A, (c) and (d) crossover reactions leading to library B and C. The red arrows indicate the expected missing sulfinamides in the library B and C. Extracted ion intensities are averaged from duplicates.

To further explore the crossover platform, we prepared two additional libraries (B and C) by replacing the starting ligands DD′ or EE′ with the mixed sulfinamide DE′. In these designs, either the N- or S-substituent present in the known factor Xa inhibitor DE′(o) is omitted and thus enable a further systematic probing of structural elements in the resulting libraries. The crossover reaction provided corresponding libraries with the expected missing analogs, which confirmed both the crossover reaction functionality and an automated mass search protocol robustness (Fig. 2c and d). During the development phase of the crossover reaction, we had synthesized all possible crossover products individually to quantify the molar ratios of the resulting sulfinamides. However, as the library complexity increased, this approach became impractical. Nevertheless, the presence of strong MS signals for the crossover products after the reaction (and their absence beforehand) shows the efficiency of the process and the applicability of the resulting libraries for MS-based affinity selections. To test the utility of the crossover libraries for the protein ligand development, we have oxidized the generated libraries A, B and C with mCPBA to convert sulfinamides to sulfonamides to provide the reported sulfonamide inhibitor ED′(o). HPLC-MS analysis of the oxidized library A showed the presence of 75 out of 100 accessible sulfonamides (Fig. S2–S4). Detailed analysis indicated that particularly ligands with electron rich indole substituent F′ were missing in the library. The indole moiety has been described to undergo oxidative modification by mCPBA.65 Given the excess of the oxidant in the reaction, analogs with the F′ substituent were probably oxidatively decomposed. Also, substrates with morpholine substituent C′ gave weak signals. As we have observed previously, generally sulfinamides provide stronger signals than corresponding sulfonamides using ESI-MS detection technique. Since sulfinamides with morpholine substituent C′ provided detectable but low intensity signals, it is suggested that oxidation pushed these compounds below the detection limit of ESI-MS. Despite these limitations, these experiments indicated that this approach is appropriate for the efficient preparation of sulfonamide libraries with formidable structural diversity.

To demonstrate the utility of the crossover libraries for the protein ligand identification, we selected coagulation factor Xa (FXa) as a model target. Factor Xa is a protease in a coagulation cascade that is a major target for prevention and treatment of blood clots.66 Compounds DD′ and EE′ in the original library contain substituent D′ and E that form a known sulfonamide inhibitor ED′(o) of factor Xa.67 We utilized three sulfonamide libraries A(o), B(o) and C(o) for affinity selection mass spectrometry against a coagulation factor Xa (Fig. 3a). The blank experiment contained bovine serum albumin (BSA) instead of factor Xa. The sulfonamide crossover libraries (∼100 µM total) were incubated with a free FXa (1 µM) followed by ultrafiltration step using 10 kDa spin filter columns and ligand elution with methanol. The elution mixture was then analyzed by LC-MS and compared to a blank experiment. The results are summarized in volcano plots in Fig. 3. Screening the library A(o) yielded two significant binders: the expected inhibitor ED′(o) and the structurally related compound EI′(o) containing piperidine ring instead of pyrrolidine moiety. As mentioned above, the compound EI′(o) is also a known factor Xa inhibitor, albeit with reduced potency (IC50 32 nM vs. 120 nM).67 Next, we tested libraries B(o) and C(o) that are missing chloronaphthyl S-substituent E and pyrrolidine N-substituent D′ respectively. Screening of library B(o) did not yield statistically significant enrichments. In contrast, library C(o) again provided EI′(o) as the dominant enriched binder. Although no individual hits emerged from library B(o), inspection of the enrichment distribution reveals bias toward compounds containing N-substituent D′ or I′, mirroring the structural trends observed in library A(o) and C(o) (Fig. 3c). The enriched compound AD′(o) has also been reported to form FXa inhibitor, however with IC50 in midmicromolar range.67 Also, two compounds with N-substituent H′ showed bias towards FXa (BH′(o) and AH′(o)). To validate these observations, we synthesized the significant hits ED′(o) and EI′(o), as well as compounds AD′(o) and BH′(o) biased towards FXa in library B(o) and compound FJ′(o) that has not showed any enrichment towards FXa in any library. The inhibition assay against FXa using these compounds corroborated the AS-MS results. ED′(o) and EI′(o) displayed IC50 values of 82 nM and 300 nM, respectively (Fig. 3e). These values are slightly higher than the literature data, which might be reflecting the fact that we worked with racemic compounds whereas the reported values are for optically pure variants. Compounds AD′(o) and BH′(o) also showed weak inhibition with IC50 values in high micromolar range. Interestingly, compound BH′(o) has not been reported in the literature. Expectedly, compound FJ′(o) showed no inhibition of FXa in the tested concentration range. Overall, the screening results demonstrate that the assembled libraries can faithfully reflect ligand–protein interactions in AS-MS enrichment patterns, enabling both confirmation of known pharmacophores and identification of new ligand variants. We note that the objective of this study was not to optimize factor Xa inhibitors, but rather to establish the feasibility of combining sulfinamide crossover chemistry with AS-MS to enable ligand development. Accordingly, the results should be viewed as a proof-of-principle demonstration of the workflow rather than a structure-guided optimization campaign.


image file: d6ra00651e-f3.tif
Fig. 3 (a) A schematic representation of the workflow of AS-MS utilizing sulfinamide crossover reaction. (b–d) Volcano plots showing enrichment of ligands to FXa compared to a blank with BSA. Significant hits (red) were defined by false discovery rate (FDR)-adjusted p < 0.05 and log2 fold change ≥ 1. ∼100 µM ligand library (total) was incubated with 1 µM FXa or BSA. (b) Library A(o). (c) Library B(o). (d) Library C(o). (e) Dose–response curves for selected sulfonamides showing the inhibition of FXa, their structures and IC50 values.

Taken together, these results demonstrate that the sulfinamide crossover reaction can be utilized for the straightforward preparation of structurally diverse ligand-like libraries that can be directly screened for protein ligands using AS-MS. These proof-of-principle studies confirm both the chemical robustness of the crossover platform and its functional utility in ligand development, establishing a foundation for broader application of the sulfinamide crossover strategy in discovery chemistry. Importantly, the modular nature of sulfinamides allows their post-synthetic conversion to sulfoximines and sulfonimidamides and thus the sulfinamide crossover potentially provides an efficient gateway to new pharmacologically relevant 3D sulfur(VI) architectures.

Conflicts of interest

There are no conflicts to declare.

Data availability

The data supporting this article have been included as part of the supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d6ra00651e.

References

  1. P. T. Corbett, J. Leclaire, L. Vial, K. R. West, J.-L. Wietor, J. K. M. Sanders and S. Otto, Chem. Rev., 2006, 106, 3652–3711 CrossRef CAS PubMed.
  2. P. Frei, R. Hevey and B. Ernst, Chem.–Eur. J., 2019, 25, 60–73 CrossRef CAS PubMed.
  3. I. Huc and R. Nguyen, Comb. Chem. High Throughput Screen., 2001, 4, 53–74 CrossRef CAS PubMed.
  4. B. Fuchs, A. Nelson, A. Star, J. F. Stoddart and S. Vidal, Angew. Chem., Int. Ed., 2003, 42, 4220–4224 CrossRef CAS PubMed.
  5. S. Fujii and J.-M. Lehn, Angew. Chem., Int. Ed., 2009, 48, 7635–7638 CrossRef CAS PubMed.
  6. R. L. E. Furlan, Y.-F. Ng, G. R. L. Cousins, J. E. Redman and J. K. M. Sanders, Tetrahedron, 2002, 58, 771–778 CrossRef CAS.
  7. U. Lüning, J. Inclusion Phenom. Macrocyclic Chem., 2004, 49, 81–84 CrossRef.
  8. S. Otto, R. L. E. Furlan and J. K. M. Sanders, Science, 2002, 297, 590–593 CrossRef CAS PubMed.
  9. S. L. Roberts, R. L. E. Furlan, S. Otto and J. K. M. Sanders, Org. Biomol. Chem., 2003, 1, 1625–1633 RSC.
  10. A. R. Stefankiewicz, E. Tamanini, G. D. Pantoş and J. K. M. Sanders, Angew. Chem., Int. Ed., 2011, 50, 5725–5728 CrossRef CAS PubMed.
  11. Y. Amamoto, J. Kamada, H. Otsuka, A. Takahara and K. Matyjaszewski, Angew. Chem., Int. Ed., 2011, 50, 1660–1663 CrossRef CAS PubMed.
  12. W. Gerhardt, M. Črne and M. Weck, Chem.–Eur. J., 2004, 10, 6212–6221 CrossRef CAS PubMed.
  13. N. Giuseppone and J.-M. Lehn, J. Am. Chem. Soc., 2004, 126, 11448–11449 CrossRef CAS PubMed.
  14. A. González-Álvarez, I. Alfonso, F. López-Ortiz, Á. Aguirre, S. García-Granda and V. Gotor, Eur. J. Org Chem., 2004, 2004, 1117–1127 CrossRef.
  15. K. Hamada, T. Serizawa and M. Akashi, Macromolecules, 2005, 38, 6759–6761 CrossRef CAS.
  16. K. Chandru, N. Guttenberg, C. Giri, Y. Hongo, C. Butch, I. Mamajanov and H. J. Cleaves, Commun. Chem., 2018, 1, 1–8 CAS.
  17. T. Ono, S. Fujii, T. Nobori and J.-M. Lehn, Chem. Commun., 2006, 46–48 Search PubMed.
  18. J. M. Pollino, L. P. Stubbs and M. Weck, J. Am. Chem. Soc., 2004, 126, 563–567 CrossRef CAS PubMed.
  19. Y. Ruff and J.-M. Lehn, Biopolymers, 2008, 89, 486–496 CrossRef CAS PubMed.
  20. S. C. Zimmerman and N. G. Lemcoff, Chem. Commun., 2004, 5–14 RSC.
  21. P.-A. R. Breuil, F. W. Patureau and J. N. H. Reek, Angew. Chem., Int. Ed., 2009, 48, 2162–2165 CrossRef CAS PubMed.
  22. M. D. Pluth, R. G. Bergman and K. N. Raymond, Science, 2007, 316, 85–88 CrossRef CAS PubMed.
  23. M. Yoshizawa, M. Tamura and M. Fujita, Science, 2006, 312, 251–254 CrossRef CAS PubMed.
  24. B. Brisig, J. K. M. Sanders and S. Otto, Angew. Chem., Int. Ed., 2003, 42, 1270–1273 CrossRef CAS PubMed.
  25. G. Gasparini, L. J. Prins and P. Scrimin, Angew. Chem., Int. Ed., 2008, 47, 2475–2479 CrossRef CAS PubMed.
  26. J. Meeuwissen and J. N. H. Reek, Nat. Chem., 2010, 2, 615–621 CrossRef CAS PubMed.
  27. O. Ramström and J.-M. Lehn, Nat. Rev. Drug Discovery, 2002, 1, 26–36 CrossRef PubMed.
  28. V. T. Bhat, A. M. Caniard, T. Luksch, R. Brenk, D. J. Campopiano and M. F. Greaney, Nat. Chem., 2010, 2, 490–497 CrossRef CAS PubMed.
  29. P. García, V. L. Alonso, E. Serra, A. M. Escalante and R. L. E. Furlan, ACS Med. Chem. Lett., 2018, 9, 1002–1006 CrossRef PubMed.
  30. I. K. H. Leung, T. Brown, C. J. Schofield and T. D. W. Claridge, MedChemComm, 2011, 2, 390–395 RSC.
  31. M. Mondal and A. K. H. Hirsch, Chem. Soc. Rev., 2015, 44, 2455–2488 RSC.
  32. G. Nasr, E. Petit, C. T. Supuran, J.-Y. Winum and M. Barboiu, Bioorg. Med. Chem. Lett., 2009, 19, 6014–6017 Search PubMed.
  33. M. Sindelar and K. T. Wanner, ChemMedChem, 2012, 7, 1678–1690 CrossRef CAS PubMed.
  34. F. Kern and K. T. Wanner, Bioorg. Med. Chem., 2019, 27, 1232–1245 CrossRef CAS PubMed.
  35. M. T. Cancilla, M. M. He, N. Viswanathan, R. L. Simmons, M. Taylor, A. D. Fung, K. Cao and D. A. Erlanson, Bioorg. Med. Chem. Lett., 2008, 18, 3978–3981 CrossRef CAS PubMed.
  36. R. Caraballo, H. Dong, J. P. Ribeiro, J. Jiménez-Barbero and O. Ramström, Angew. Chem., Int. Ed., 2010, 49, 589–593 CrossRef CAS PubMed.
  37. M. Das, T. Yang, J. Dong, F. Prasetya, Y. Xie, K. H. Q. Wong, A. Cheong and E. C. Y. Woon, Chem.–Asian J., 2018, 13, 2854–2867 CrossRef CAS PubMed.
  38. M. Demetriades, I. K. H. Leung, R. Chowdhury, M. C. Chan, M. A. McDonough, K. K. Yeoh, Y.-M. Tian, T. D. W. Claridge, P. J. Ratcliffe, E. C. Y. Woon and C. J. Schofield, Angew. Chem., Int. Ed., 2012, 51, 6672–6675 CrossRef CAS PubMed.
  39. T. J. Hauke, G. Höfner and K. T. Wanner, ChemMedChem, 2019, 14, 583–593 CrossRef CAS PubMed.
  40. M. Mondal, N. Radeva, H. Köster, A. Park, C. Potamitis, M. Zervou, G. Klebe and A. K. H. Hirsch, Angew. Chem., Int. Ed., 2014, 53, 3259–3263 CrossRef CAS PubMed.
  41. C. Saiz, V. Castillo, P. Fontán, M. Bonilla, G. Salinas, A. Rodríguez-Haralambides and S. G. Mahler, Mol. Divers., 2014, 18, 1–12 Search PubMed.
  42. J. D. McAnany and B. L. Miller, in Methods in Enzymology, ed. A. E. Hargrove, Academic Press, 2019, vol. 623, pp. 67–84 Search PubMed.
  43. V. Nosek and J. Míšek, J. Org. Chem., 2024, 89, 7927–7932 CrossRef CAS PubMed.
  44. J.-H. Youn and R. Herrmann, Synthesis, 2002, 1987, 72–73 CrossRef.
  45. N. Taniguchi, Eur. J. Org Chem., 2010, 2010, 2670–2673 CrossRef.
  46. N. Taniguchi, Eur. J. Org Chem., 2016, 2016, 2157–2162 CrossRef CAS.
  47. M. Harmata, P. Zheng, C. Huang, M. G. Gomes, W. Ying, K.-O. Ranyanil, G. Balan and N. L. Calkins, J. Org. Chem., 2007, 72, 683–685 CrossRef CAS PubMed.
  48. M. Jabczun, V. Nosek and J. Míšek, Org. Biomol. Chem., 2023, 21, 2950–2954 RSC.
  49. S. Chatterjee, S. Makai and B. Morandi, Angew. Chem., Int. Ed., 2021, 60, 758–765 CrossRef CAS PubMed.
  50. P. K. T. Lo, G. A. Oliver and M. C. Willis, J. Org. Chem., 2020, 85, 5753–5760 CrossRef CAS PubMed.
  51. P. K. T. Lo and M. C. Willis, J. Am. Chem. Soc., 2021, 143, 15576–15581 CrossRef CAS PubMed.
  52. S. Tsuzuki and T. Kano, Org. Lett., 2023, 25, 6677–6681 CrossRef CAS PubMed.
  53. Q. Wang, X.-Y. Tang and M. Shi, Angew. Chem., Int. Ed., 2016, 55, 10811–10815 CrossRef CAS PubMed.
  54. D. Wen, Q. Zheng, C. Wang and T. Tu, Org. Lett., 2021, 23, 3718–3723 CrossRef CAS PubMed.
  55. H. Yu, Z. Li and C. Bolm, Angew. Chem., Int. Ed., 2018, 57, 15602–15605 CrossRef CAS PubMed.
  56. R. Chakravarti, A. Mano, H. Iwai, S. S. Aldeyab, R. P. Kumar, M. L. Kantam and A. Vinu, Chem.–Eur. J., 2011, 17, 6673–6682 CrossRef CAS PubMed.
  57. F. Saito, Angew. Chem., Int. Ed., 2022, 61, e202213872 CrossRef CAS PubMed.
  58. A. Wangweerawong, J. R. Hummel, R. G. Bergman and J. A. Ellman, J. Org. Chem., 2016, 81, 1547–1557 CrossRef CAS PubMed.
  59. T. Q. Davies, M. J. Tilby, J. Ren, N. A. Parker, D. Skolc, A. Hall, F. Duarte and M. C. Willis, J. Am. Chem. Soc., 2020, 142, 15445–15453 CrossRef CAS PubMed.
  60. Y. Han, K. Xing, J. Zhang, T. Tong, Y. Shi, H. Cao, H. Yu, Y. Zhang, D. Liu and L. Zhao, Eur. J. Med. Chem., 2021, 209, 112885 Search PubMed.
  61. P. Mäder and L. Kattner, J. Med. Chem., 2020, 63, 14243–14275 CrossRef PubMed.
  62. M. Frings, C. Bolm, A. Blum and C. Gnamm, Eur. J. Med. Chem., 2017, 126, 225–245 CrossRef CAS PubMed.
  63. U. Lücking, Chem.–Eur. J., 2022, 28, e202201993 CrossRef PubMed.
  64. N. B. Cech and C. G. Enke, Mass Spectrom. Rev., 2001, 20, 362–387 Search PubMed.
  65. P. Astolfi, L. Greci, C. Rizzoli, P. Sgarabotto and G. Marrosu, J. Chem. Soc., Perkin Trans. 2, 2001, 1634–1640 Search PubMed.
  66. A. G. G. Turpie, Arterioscler., Thromb., Vasc. Biol., 2007, 27, 1238–1247 CrossRef CAS PubMed.
  67. Y. Shi, S. P. O'Connor, D. Sitkoff, J. Zhang, M. Shi, S. N. Bisaha, Y. Wang, C. Li, Z. Ruan, R. Michael Lawrence, H. E. Klei, K. Kish, E. C.-K. Liu, S. M. Seiler, L. Schweizer, T. E. Steinbacher, W. A. Schumacher, J. A. Robl, J. E. Macor, K. S. Atwal and P. D. Stein, Bioorg. Med. Chem. Lett., 2011, 21, 7516–7521 CrossRef CAS PubMed.

This journal is © The Royal Society of Chemistry 2026
Click here to see how this site uses Cookies. View our privacy policy here.