Biology subjects

Golebiowski, J.

Publications and source records attributed to Golebiowski, J..

6 recordsLinked to original sources

bioRxiv2023

Elucidating the structural basis for ligand binding and translocation in conserved insect odorant receptor co-receptors

In numerous insects, the olfactory receptor family forms a unique class of heteromeric cation channels. Recent progress in resolving the odorant receptor structures offers unprecedented opportunities for deciphering their molecular mechanisms of ligand recognition. Unexpectedly, these structures in apo or ligand-bound states did not reveal the pathway taken by the ligands between the extracellular space and the deep internal cavities. By combining molecular modeling with electrophysiological recordings, we identified amino acids involved in the dynamic entry pathway and the binding of VUAA1 to Drosophila melanogasters odorant receptor co-receptor (Orco). Our results provide new evidence for the exact location of the agonist binding site and a detailed and original mechanism of ligand translocation controlled by a network of conserved residues. These findings would explain the particularly high selectivity of Orcos for their ligands.

molecular biology↗

bioRxiv2021

Extracellular loop 2 of G protein-coupled olfactory receptors is critical for odorant recognition

G protein-coupled olfactory receptors (ORs) enable us to detect innumerous odorants. They are also ectopically expressed, emerging as attractive drug targets. ORs can be promiscuous or highly specific, which is part of Natures strategy for odor discrimination. This work demonstrates that the extracellular loop 2 (ECL2) plays critical roles in OR promiscuity and specificity. Using site-directed mutagenesis and molecular modeling, we constructed 3D OR models in which ECL2 forms a lid of the orthosteric pocket. ECL2 controls the shape and the volume of the odorant-binding pocket, maintains the pocket hydrophobicity and acts as a gatekeeper of odorant binding. The interplay between the specific orthosteric pocket and the variable, less specific ECL2 controls OR specificity and promiscuity. The 3D models enabled virtual screening of new OR agonists and antagonists, exhibiting 78% hit rate in cell assays. This approach can be generalized to structure-based ligand screening for other GPCRs that lack high-resolution 3D structures.

molecular biology↗

bioRxiv2021

An automated platform for structural analysis of membrane proteins through serial crystallography

Membrane proteins are central to many pathophysiological processes yet remain very difficult to analyze at a structural level. Moreover, high-throughput structure-based drug discovery has not yet been exploited for membrane proteins due to lack of automation. Here, we present a facile and versatile platform for in meso membrane protein crystallization, enabling rapid atomic structure determination at both cryogenic and room temperature and in a single support. We apply this approach to two human integral membrane proteins, which allowed us to capture different conformational states of intramembrane enzyme-product complexes and analyze the structural dynamics of the ADIPOR2 integral membrane protein. Finally, we demonstrate an automated pipeline combining high-throughput microcrystal soaking, automated laser-based harvesting and serial crystallography enabling screening of small molecule libraries with membrane protein crystals grown in meso. This approach brings badly needed automation for this important class of drug targets and enables high-throughput structure-based ligand discovery with membrane proteins. HighlightsO_LIA fully automated, online workflow enables rapid determination of membrane protein structures by serial X-ray crystallography (SSX). C_LIO_LIHigh resolution room temperature and cryogenic structures of ADIPOR2 provide insights into the dynamic nature of receptor:ligand interactions. C_LIO_LIA web-based application allows remote user-guided experimental design and execution. C_LIO_LIAn automated SSX-based ligand discovery pipeline for integral membrane proteins is introduced. C_LI

biochemistry↗

bioRxiv2021

Molecular insights into the μ-opioid receptorselective signaling

GPCR functional selectivity has opened new opportunities for the design of safer drugs. Ligands orchestrate GPCR signaling cascades by modulating the receptor conformational landscape. Our study provides insights into the dynamic mechanism enabling opioid ligands to preferentially activate the G protein over the {beta}-arrestin pathways through the -opioid receptor (OR). We combined functional assays in living cells, solution NMR spectroscopy and enhanced-sampling molecular dynamic simulations to identify the specific OR conformations induced by G protein-biased agonists. In particular, we describe the dynamic and allosteric communications between the ligand-binding pocket and the receptor intracellular domains, through conserved motifs in class A GPCRs. Most strikingly, the biased agonists triggered OR conformational changes in the intracellular loop 1 and helix 8 domains, which may impair {beta}-arrestin binding or signaling. The findings may apply to other GPCR families and provide key molecular information that could facilitate the design of biased ligands.

bioinformatics↗

bioRxiv2020

Functional Microswitches of Mammalian G Protein-Coupled Bitter-Taste Receptors

Bitter taste receptors (TAS2Rs) are a poorly understood subgroup of G protein-coupled receptors (GPCRs). The experimental structure of these receptors has yet to be determined, and key-residues controlling their function remain mostly unknown. We designed an integrative approach to improve comparative modeling of TAS2Rs. Using current knowledge on class A GPCRs and existing experimental data in the literature as constraints, we pinpointed conserved motifs to entirely re-align the amino-acid sequences of TAS2Rs. We constructed accurate homology models of human TAS2Rs. As a test case, we examined the accuracy of the TAS2R16 model with site-directed mutagenesis and in vitro functional assays. This combination of in silico and in vitro results clarify sequence-function relationships and identify the functional molecular switches that encode agonist sensing and downstream signaling mechanisms within mammalian TAS2Rs sequences. ClassificationBiological sciences, Computational biology, and bioinformatics

bioinformatics↗

bioRxiv2020

Functions of olfactory receptors are decoded from their sequence

G protein-coupled receptors (GPCRs) conserve common structural folds and activation mechanisms, yet their ligand spectra and functions are highly diversified. This work investigated how the functional variations in olfactory GPCRs (ORs)-the largest GPCR family-are encoded in the primary sequence. With the aid of site-directed mutagenesis and molecular simulations, we built machine learning models to predict OR-ligand pairs as well as basal activity of ORs. In vitro functional assay confirmed 20 new OR-odorant pairs, including 9 orphan ORs. Residues around the odorant-binding pocket dictate the odorant selectivity/specificity of the ORs. Residues that encode the varied basal activities of the ORs were found to mostly surround the conserved motifs as well as the binding pocket. The machine learning approach, which is readily applicable to mammalian OR families, will accelerate OR-odorant mapping and the decoding of combinatorial OR codes for odors.

bioinformatics↗