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Exploring key features of selectivity in somatostatin receptors through molecular dynamics simulations
C Guccione1, S Gervasoni1, I Öztürk1
1Department of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
Abstract:
Somatostatin receptors (SSTRs) are widely distributed throughout the human body and play crucial roles in various physiological processes. They are recognized as key targets for both radiotherapy and radiodiagnosis due to their overexpression in several cancer types. However, the discovery and design of selective drugs for each of the five isoforms have been significantly hindered by the lack of complete structural information. In this study, we conducted a systematic computational analysis of all five SSTRs in complex with the endogenous ligand somatostatin to elucidate their structural and dynamic features. We thoroughly characterized each isoform using available experimental structures for SSTR2 and SSTR4, as well as AlphaFold2 models for SSTR1, SSTR3, and SSTR5. By performing multi-copy μs-long molecular dynamics simulations, we examined the differences and similarities in dynamical behavior and somatostatin binding among all SSTRs. Our analysis focused on understanding the opening and closing movements of the extracellular loop 2, which are crucial for ligand binding and recognition. Interestingly, we observed a unique conformation of somatostatin within the binding pocket of SSTR5 in which the loop can partially close, as compared to the other isoforms. Fingerprint analyses provided distinct interaction patterns of somatostatin with all receptors, thus enabling precise guidelines for the discovery and development of more selective somatostatin-based pharmaceuticals tailored for precision medicine therapies.
Insights
This study reveals distinct structural dynamics of somatostatin receptors (SSTRs) and their binding with somatostatin. These findings offer precise guidelines for developing targeted SSTR-based drugs for precision medicine.
Area of Science:
- Pharmacology
- Structural Biology
- Computational Chemistry
Background:
- Somatostatin receptors (SSTRs) are crucial physiological targets, particularly in oncology, for radiotherapy and radiodiagnosis.
- Developing selective drugs for the five SSTR isoforms is challenging due to limited structural data.
Purpose of the Study:
- To computationally analyze the structural and dynamic features of all five SSTR isoforms in complex with somatostatin.
- To elucidate differences and similarities in receptor dynamics and ligand binding across SSTR isoforms.
Main Methods:
- Systematic computational analysis of SSTR-SSTR complexes.
- Utilized experimental structures for SSTR2/SSTR4 and AlphaFold2 models for SSTR1/SSTR3/SSTR5.
- Performed multi-copy microsecond-long molecular dynamics simulations.
Main Results:
- Characterized distinct dynamical behaviors and somatostatin binding patterns for each SSTR isoform.
- Identified a unique extracellular loop 2 conformation in SSTR5, allowing partial closure around somatostatin.
- Fingerprint analyses revealed specific somatostatin-receptor interaction patterns.
Conclusions:
- Computational insights into SSTR isoform dynamics and binding are crucial for drug design.
- Distinct interaction fingerprints provide a basis for developing highly selective somatostatin-based pharmaceuticals.
- This research supports the advancement of precision medicine therapies targeting SSTRs.
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