Saturday, September 13, 2025

Covalent Ligand Electrophiles Are Differentially Activated by Proximity Effects Which Govern Latent Protein Reactivit

 Tomas V. Frankovich, Harrison M. McCann, Kyle S. Hoffman, and Anthony F. Rullo

ACS Central Science Article ASAP
DOI: 10.1021/acscentsci.5c00699

Covalent ligands contain an electrophilic moiety that reacts with a nucleophilic residue on a target protein, following an initial reversible binding event. Covalent ligand development typically involves efforts to increase on-target selectivity by maximizing the ligand binding affinity and minimizing intrinsic electrophile reactivity. Problematically, this limits labeling kinetics and requires high affinity ligands. The concept of “latency” describes the potential for “turn-on” activation of electrophiles upon target engagement. Here, we investigate the potential intrinsic latency of covalent electrophiles and test the hypothesis that diverse electrophiles can be differentially activated by proximity effects. We develop a kinetic effective molarity (EMk) approach to quantitatively characterize kinetics associated with diverse electrophilic reaction mechanisms, both with and without binding proximity effects. We observe that different electrophiles are associated with significantly different EMk parameters, with SuFEx and acrylamide electrophiles associated with the highest intrinsic latency. Eyring transition state analysis revealed that all covalent ligands, independent of electrophile, benefit from significant transition state entropic stabilization. Strikingly, electrophiles associated with the highest latency are associated with greater relative transition state stabilization with different enthalpic and entropic contributions. These findings quantitatively describe electrophile latency and will aid the mechanism-guided development of next-generation covalent ligands associated with “turn-on” reactivity.

Covalent Probes Reveal Small-Molecule Binding Pockets in Structured RNA and Enable Bioactive Compound Design

Sandra Kovachka, Jielei Wang, Amirhossein Taghavi, Yilin Jia, Taro Asaba, Karen C. Wolff, Mason Martin, Xueyi Yang, Samantha M. Meyer, Sabin...