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Not Quite Folded: Challenges in Predicting the hNPS‐hNPSR‐Ile107 Complex With AlphaFold2 Multimer

Aug 2026 · ChemMedChem · Vol 21 · 0 citations · 45 references
Medicine

TL;DR

The model showing higher stability in molecular dynamics simulations and consistency with known structure–activity relationships served as template to design novel hNPS analogues, which revealed the model's inability to capture hNPS bioactive conformation, as most analogues were inactive as agonists.

Abstract

The human neuropeptide S (NPS) receptor (NPSR) is a Class A peptide G protein‐coupled receptor expressed in the central nervous system and endogenously activated by NPS, a 20‐mer peptide. NPSR activation promotes cellular excitability via Gq and Gs signalling. Studies suggest that receptor antagonists may reduce drug‐seeking behaviours, whilst agonists represent innovative non‐sedating anxiolytics with memory‐enhancing effects. Despite its therapeutic potential, NPSR remains poorly characterised, with neither experimental receptor structures nor drug‐like clinical candidates available. To fill this gap, we applied a previously validated AlphaFold2 Multimer‐based protocol to model the hNPS–hNPSR complex. The model showing higher stability in molecular dynamics simulations and consistency with known structure–activity relationships served as template to design novel hNPS analogues. However, experimental validation through synthesis and in vitro pharmacological evaluation of 20 novel truncated cyclic peptides revealed the model's inability to capture hNPS bioactive conformation, as most analogues were inactive as agonists. By exploiting the stereochemical switch in hNPS hinge region, we identified four novel cyclic antagonists (17–20, pA2 in the 6.10–6.20 range). Our findings highlight strengths and limitations of current peptide‐GPCR modelling strategies and underscore the need for integrating AI predictions with experimental refinement to advance ligand discovery for challenging targets like NPSR.

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Bitter taste receptors, particularly TAS2R14, are widely expressed in extraoral tissues, including the central nervous system, where they have been implicated in neuroinflammatory and neurodegenerative processes. Although numerous pharmacological and natural compounds have demonstrated therapeutic potential against neurodegenerative disorders, clinically effective disease-modifying therapies remain strikingly limited. TAS2R14 is a promising yet underexplored candidate target; however, its mechanistic role in neurodegenerative disorders remains poorly understood. Here, we conducted a structure-based virtual screening of 4138 FDA-approved drugs from the MedChemExpress database to identify potential TAS2R14 ligands for therapeutic repositioning. Top candidates were prioritized through a hierarchical molecular docking workflow and binding free-energy calculations (MM-GBSA), orthogonal GNINA validation, in silico ADMET assessment, followed by 500 ns molecular dynamics (MD) simulations to evaluate the persistence of predicted binding modes and ligand-associated conformational behavior at both extracellular and intracellular binding sites. The selected hits exhibited distinct predicted interaction profiles and conformational dynamics at the two independent binding sites. Among them, (-)-epicatechin gallate exhibited favorable interactions, persistent contact with key binding site residues, and comparatively limited conformational fluctuations at both sites, supporting its prioritization as a potential dual-site TAS2R14 binder. Furthermore, fexofenadine and ezetimibe showed favorable binding stability at the extracellular and intracellular sites, respectively. Hydrogen-bond analysis, principal component analysis, dynamic cross-correlation matrix analysis, and free-energy landscape mapping further revealed ligand-dependent differences in interaction networks and receptor conformational behavior. Notably, (-)-epicatechin gallate, fexofenadine, and ezetimibe exhibited greater predicted binding stability than the reference ligands flufenamic acid, cholesterol, and Comp28.1 throughout the 500 ns simulations. As this study is purely computational, experimental validation through receptor activation assays and relevant biological models will be required to determine whether the predicted binding interaction translates into functional modulation of TAS2R14 and therapeutic benefit. Nevertheless, these findings provide a computational foundation for prioritizing candidate TAS2R14 ligands and support future experimental studies to evaluate receptor activation, specificity, selectivity, and therapeutic efficacy, particularly for (-)-epicatechin gallate, in the context of TAS2R14-targeted neuroprotective drug repositioning.

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Open access Aug 2026

Integrated In Silico Discovery of Thymoquinone Analogs Targeting the Keap1–Nrf2 Pathway for Amyotrophic Lateral Sclerosis Therapy

This study identifies structurally tractable TQ analogs with improved predicted potency and establishes a robust computational framework for neuroprotective discovery as redox‐modulating agents in ALS.

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Distal conformational steering by N-terminal pyroglutamylation enables subtype-selective GPCR activation across Aplysia PRXamide and human Neuromedin U signaling

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Open access Aug 2026

Design and evaluation of a novel peptide-EV complex for targeted Alzheimer's disease therapy.

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V. Singh, Raja Natesan Sella · 0 citations
Jul 2026

Cannabidiol as a Promising Anti-Inflammatory Agent Targeting TYK2: Molecular Docking and Dynamic Simulation Approaches for Therapeutic Applications in Multiple Sclerosis.

INTRODUCTION Multiple sclerosis (MS) involves chronic inflammation driven by dysregulation of the JAK-STAT pathway. This study aimed to evaluate the potential interaction of natural cannabinoids with TYK2, with a focus on cannabidiol (CBD), using computational in silico approaches. METHODS A combined molecular docking and molecular dynamics (MD) workflow was used. Cannabinoid ligands and the TYK2 structure (JH2 domain) were prepared and docked in MOE, followed by 20 ns MD simulations under NVT and NPT conditions in GROMACS. Complex stability and ligand-protein interactions were analysed. RESULTS CBD showed a competitive docking score (-7.31 kcal/mol) and a refined RMSD of 0.9198 Å. MD simulations revealed a stable CBD-TYK2 complex, with RMSD fluctuations of 0.15-0.20 nm, which were lower than those observed for the reference inhibitor, deucravacitinib. RMSF analysis revealed a slight increase in local flexibility in specific regions without affecting the overall stability of the protein. The radius of gyration remained stable throughout the simulation, indicating that the protein's compactness was preserved. Hydrogen bond analysis showed fewer but transient interactions for CBD, consistent with a binding mode dominated by hydrophobic interactions. DISCUSSION These computational results suggest that CBD interacts stably with TYK2 through a distinct binding mode compared to the reference inhibitor, deucravacitinib, while maintaining the structural integrity of the protein. CONCLUSION CBD showed a stable predicted interaction with TYK2, supporting its potential as a candidate for further in vitro and in vivo studies in the context of MS-related inflammation.

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