bioRxiv Science⌕ Search

Biology subjects

Walters, B. T.

Publications and source records attributed to Walters, B. T..

2 recordsLinked to original sources

Rational design of potent small molecule SMARCA2/A4 (BRM/BRG1) degraders acting via the recruitment of FBXO22

Target-anchored monovalent degraders are more drug-like than their bivalent counterparts, Proteolysis Targeting Chimeras (PROTACs), while offering greater target specificity control than the E3 ligase-anchored monovalent degraders, also known as molecular glues. However, their discovery has typically been serendipitous, and the rules governing their identification remain unclear. This study focused on the intentional discovery of SMARCA2/A4 monovalent degraders using a library based on SMARCA2/A4 bromodomain-binding ligands. Compound G-6599 emerged as a lead candidate, showing exceptional degradation potency and specificity for SMARCA2/A4. Mechanistic studies revealed that G-6599 operates through the ubiquitin-proteasome pathway and the E3 ligase FBXO22. G-6599 was shown to promote ternary complex formation between SMARCA2 and FBXO22 involving covalent conjugation to a cysteine residue on the latter. Unlike other recently identified FBXO22-dependent degraders, it does not require biotransformation. The selective degradation ability of G-6599, along with its unique mechanism, highlights the therapeutic potential of target-anchored monovalent degraders.

cancer biology↗

Integrating Hydrogen Exchange with Molecular Dynamics for Improved Ligand Binding Predictions

We introduce Hydrogen-Exchange Experimental Structure Prediction (HX-ESP), a method that integrates hydrogen exchange (HX) data with molecular dynamics (MD) simulations to accurately predict ligand binding modes, even for targets requiring significant conformational changes. Benchmarking HX-ESP by fitting two ligands to PAK1 and four ligands to MAP4K1 (HPK1), and comparing the results to X-ray crystallography structures, demonstrated that HX-ESP successfully identified binding modes across a range of affinities significantly outperforming flexible docking for ligands necessitating large conformational adjustments. By objectively guiding simulations with experimental HX data, HX-ESP overcomes the long timescales required for binding predictions using traditional MD. This advancement promises to enhance the accuracy of computational modeling in drug discovery, potentially accelerating the development of effective therapeutics.

biophysics↗