Elucidating structural and molecular requirements of somatostatin subtype-4 agonist bound complexes using quantum mechanics approaches

Somatotropin-release Inhibiting Factor (SRIF) binds somatostatin subtype-4 receptor (sst4) within the neocortex to increase amyloid beta catabolism, and possibly effects neuronal plaque formation and disease progression of Alzheimer's disease. Recently, sst4 in complex with SRIF or a small molecule agonist were resolved using cryo-EM, and mutagenesis identified amino acid residues that contributed to activity. In the present study, we used mixed Quantum Mechanics/Molecular Mechanics (QM/MM) to refine the experimental sst4 complexes and decipher agonist-sst4 interactions. SRIF rendered the complex more stable, while interactions with asparagines 199 and 293 seen in the experimental complexes were lost and replaced with Gln279. We also addressed long-standing questions related to sst4 agonist binding. Toward that end, we used quantum mechanics, molecular docking, and QM/MM refinement methods and employed pair-wise comparisons or matched molecular pairs to explore the effects of chemical substitutions on ligand properties and energetics. We identified amino acid interactions that were consistent among all refined complexes, and those that differentiated high affinity binders. Finally, we considered several parameters to discern which correlated best with affinity, and highlighted aspects often overlooked or yet to be explored in order to enhance lead optimization outcomes.

Authors

Institutions

Publication Details

Journal
Organic & Biomolecular Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ob00775e
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Elucidating structural and molecular requirements of somatostatin subtype-4 agonist bound complexes using quantum mechanics approaches

Olivia Slater, Maria Kontoyianni
Organic & Biomolecular Chemistry
Computational Drug Discovery Methods
article

Elucidating structural and molecular requirements of somatostatin subtype-4 agonist bound complexes using quantum mechanics approaches

Olivia Slater, Maria Kontoyianni
article en

Abstract

Somatotropin-release Inhibiting Factor (SRIF) binds somatostatin subtype-4 receptor (sst4) within the neocortex to increase amyloid beta catabolism, and possibly effects neuronal plaque formation and disease progression of Alzheimer's disease. Recently, sst4 in complex with SRIF or a small molecule agonist were resolved using cryo-EM, and mutagenesis identified amino acid residues that contributed to activity. In the present study, we used mixed Quantum Mechanics/Molecular Mechanics (QM/MM) to refine the experimental sst4 complexes and decipher agonist-sst4 interactions. SRIF rendered the complex more stable, while interactions with asparagines 199 and 293 seen in the experimental complexes were lost and replaced with Gln279. We also addressed long-standing questions related to sst4 agonist binding. Toward that end, we used quantum mechanics, molecular docking, and QM/MM refinement methods and employed pair-wise comparisons or matched molecular pairs to explore the effects of chemical substitutions on ligand properties and energetics. We identified amino acid interactions that were consistent among all refined complexes, and those that differentiated high affinity binders. Finally, we considered several parameters to discern which correlated best with affinity, and highlighted aspects often overlooked or yet to be explored in order to enhance lead optimization outcomes.

Organic & Biomolecular ChemistryVol. 23(33)
Southern Illinois University Edwardsville (US)
Université de Reims Champagne-Ardenne, National Institutes of Health
Openalex Percentile: Top 79%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.