Biology subjects

Filipek, S.

Publications and source records attributed to Filipek, S..

3 recordsLinked to original sources

bioRxiv2026

Dibenzoylmethane, a novel β-diketone pore blocker of large-conductance calcium-activated potassium channel

Large-conductance calcium-activated potassium (BKCa) channels are ubiquitously expressed in mammalian cells and regulate electrical activity, intracellular calcium signaling, and cell survival. Although BKCa dysfunction has been linked to multiple diseases, the number of selective channel modulators is limited. In this study, we characterize dibenzoylmethane (DBM), a plant-derived compound isolated from Hottonia palustris, as a novel inhibitor of BKCa channel activity in both plasma membrane and mitochondrial BKCa. Electrophysiological recordings revealed that DBM lowers the open probability of BKCa channels in a concentration-dependent fashion and markedly reduces mean open time, leading to a pronounced flickering behavior - hallmarks of pore-targeted blockade. Competition experiments demonstrated that DBM antagonizes the effect of paxilline, a high-affinity pore-binding inhibitor, suggesting overlapping binding sites. Molecular dynamics simulations further supported this hypothesis, showing that several DBM molecules can block the pore by employing {pi}-{pi} interactions with each other and pore residues. On top of the pore, the carbonyl groups of DBM block the nearest potassium ion in the selectivity filter. The presence of DBM induces the removal of water molecules from the pore. To assess the structural requirements for activity, we tested three DBM analogs: phenyl-1,3-butanedione (PBD), trans-chalcone (T-Ch), and (E)-1,3-diphenylprop-2-en-1-ol (DPE). T-Ch and DPE inhibited BKCa channels with comparable efficacy to DBM, whereas PBD was significantly less potent. These results indicate that diphenyl substitution and structural rigidity are critical determinants of inhibitory activity. Our findings position DBM and its analogs as promising chemical scaffolds for the development of selective BKCa channel modulators with potential pharmacological applications.

pharmacology and toxicology↗

bioRxiv2025

Reverse-engineering B-Arrestin Bias in the d-Opioid Receptor

G protein-coupled receptors (GPCRs) form the largest family of cell-surface receptors and remain prime targets in drug discovery. A central challenge in modern GPCR drug discovery is understanding and exploiting biased agonism: the ability of ligands to favor signaling via therapeutically beneficial pathways while avoiding those that trigger side effects. Therefore, pinpointing the structural determinants of signaling bias is crucial for rational drug design. Biased agonists are particularly compelling for targeting opioid receptors, as in this family, ligands that limit {beta}-arrestin ({beta}-arr) recruitment are believed to preserve analgesia while reducing respiratory depression and addiction liabilities. Here, we use extensive all-atom molecular dynamics (MD) simulations to dissect signaling bias in the {delta}-opioid receptor ({delta}OR). Focusing on a receptor mutant with a strong {beta}-arr bias, we employed a reverse-engineering approach to reveal the conformational mechanisms that promote {beta}-arr recruitment. Building on these insights, engineer new mutations that reshape the receptors signaling profile. Importantly, this approach allowed us to pinpoint signaling bias to motions of a single microswitch and identify how structural receptor motions induced by the mutations and ligand contacts cooperate to promote a specific functional response. In this proof-of-concept study, we not only provide structural insights into {delta}OR pharmacology but also demonstrate how computational methods can be leveraged to probe structural mechanisms of signaling specificity across GPCRs, paving the way for the rational design of tailored receptor variants and novel, safer, and more effective therapeutics.

bioinformatics↗

bioRxiv2019

GPCRmd uncovers the dynamics of the 3D-GPCRome

G protein-coupled receptors (GPCRs) are involved in numerous physiological processes and are the most frequent targets of approved drugs. The explosion in the number of new 3D molecular structures of GPCRs (3D-GPCRome) during the last decade has greatly advanced the mechanistic understanding and drug design opportunities for this protein family. While experimentally-resolved structures undoubtedly provide valuable snapshots of specific GPCR conformational states, they give only limited information on their flexibility and dynamics associated with function. Molecular dynamics (MD) simulations have become a widely established technique to explore the conformational landscape of proteins at an atomic level. However, the analysis and visualization of MD simulations requires efficient storage resources and specialized software, hence limiting the dissemination of these data to specialists in the field. Here we present the GPCRmd (http://gpcrmd.org/), an online platform that incorporates web-based visualization capabilities as well as a comprehensive and user-friendly analysis toolbox that allows scientists from different disciplines to visualize, analyse and share GPCR MD data. GPCRmd originates from a community-driven effort to create the first open, interactive, and standardized database of GPCR MD simulations. We demonstrate the power of this resource by performing comparative analyses of multiple GPCR simulations on two mechanisms critical to receptor function: internal water networks and sodium ion interaction.

biophysics↗