Molecular dynamics of outer membrane-embedded polysaccharide secretion porins reveals closed resting-state surface gates targetable by virtual fragment screening for drug hotspot identification
Costa Franca, T. C.; Saidi, F.; Ajamian, A.; Islam, S. T.; LaPlante, S.
Show abstract
Recent advances in iterative neural-network analyses (e.g. AlphaFold2 and RoseTTA fold) have been revolutionary for protein 3D-structure prediction, especially for difficult-to-manipulate -helical/{beta}-barrel integral membrane proteins. These model structures are calculated based on the co-evolution of amino acids within the protein of interest and similarities to existing protein structures; local effects of the membrane on folding and stability of the calculated model structures are not considered. We recently reported the discovery, 3D modelling, and characterization of 18-{beta}-stranded outer-membrane (OM) WzpX, WzpS, and WzpB {beta}-barrel secretion porins for the exopolysaccharide (EPS), major spore coat polysaccharide (MASC), and biosurfactant polysaccharide (BPS) pathways (respectively) in the Gram-negative social predatory bacterium Myxococcus xanthus DZ2. However, information was not obtained regarding the dynamic behavior of surface-gating WzpX/S/B loop domains, nor on potential treatments to inactivate these porins. Herein, we developed a molecular dynamics (MD) protocol to study the core stability and loop dynamism of neural network-based integral membrane protein structure models embedded in an asymmetric OM bilayer, using the M. xanthus WzpX, WzpS, and WzpB proteins as test candidates. This was accomplished through integration of the CHARMM-graphical user interface (GUI) and Molecular Operating Environment (MOE) workflows to allow for rapid simulation system setup and facilitate data analysis. In addition to serving as a method of model-structure validation, our molecular dynamics simulations revealed minimal movement of extracellular WzpX/S/B loops in the absence of an external stimulus, as well as druggable cavities between the loops. Virtual screening of a commercial fragment library against these cavities revealed putative fragment-binding hotspots on the cell-surface face of each {beta}-barrel, along with key interacting residues, and identified promising hits for the design of potential binders capable of plugging the {beta}-barrels and inhibiting polysaccharide secretion.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Conserved conformational hierarchy across functionally divergent glycosyltransferases of the GT-B structural superfamily as determined from microsecond molecular dynamics 95%
- Assessing Protein Surface-Based Scoring for Interpreting Genomic Variants 95%
- Structural distortions induced by Kinase Inhibiting RNase Attenuator (KIRA) compounds prevent the formation of face-to-face dimers of Inositol Requiring Enzyme 1α 95%
Similar papers in this journal
- Altering the solubility of the antibiotic candidate Nisin - a computational study 96%
- Designing BH3-mimetic Peptide Inhibitors for the Viral Bcl-2 Homologs A179L and BHRF1: Importance of long-range electrostatic interactions 95%
- Impact of Thiol-Disulfide Balance on the Binding of Covid-19 Spike Protein with Angiotensin Converting Enzyme 2 Receptor 95%
Similar papers in this journal
Similar papers in this journal
- Impact of non-proteinogenic amino acid norvaline and proteinogenic valine misincorporation on a secondary structure of a model peptide 96%
- In Silico Identification Of Novel PRFA Inhibitors To Fight Listeriosis: A Virtual Screening And Molecular Dynamics Studies 96%
- Omicron BA.1 and BA.2 Variants Increase the Interactions of SARS-CoV-2 Spike Glycoprotein with ACE2 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.