Evidence map›Paper›PMID 39660216›Full record

ArticleComputational and structural biotechnology journal2024

Exploring key features of selectivity in somatostatin receptors through molecular dynamics simulations.

C Guccione, S Gervasoni, I Öztürk, A Bosin, P Ruggerone, G Malloci

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

C GuccioneDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
S GervasoniDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
I ÖztürkDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
A BosinDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
P RuggeroneDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.
G MallociDepartment of Physics, University of Cagliari, Monserrato (Cagliari), 09042, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Molecular dynamics simulationsPrecision medicineSomatostatin receptorsStructure-based drug discoveryTheranostics

Identifiers

PMID39660216
PMCPMC11630666

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.