ArticleFrontiers in chemistry2019
Docking, Interaction Fingerprint, and Three-Dimensional Quantitative Structure-Activity Relationship (3D-QSAR) of Sigma1 Receptor Ligands, Analogs of the Neuroprotective Agent RC-33.
Article in Frontiers in chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy.Diagnostics (Basel, Switzerland) · 2025Review
- Molecular docking analysis of N-myristoyl-transferase with small molecules from the ZINC database for screening potential anti-malarial drugs.Bioinformation · 2025Article
- Dammarane triterpenes targeting α-synuclein: biological activity and evaluation of binding sites by molecular docking.Journal of enzyme inhibition and medicinal chemistry · 2021Article
- In Vitro Confirmation of Siramesine as a Novel Antifungal Agent with In Silico Lead Proposals of Structurally Related Antifungals.Molecules (Basel, Switzerland) · 2021Article
- Involvement of Chaperone Sigma1R in the Anxiolytic Effect of Fabomotizole.International journal of molecular sciences · 2021Article
- Combined Machine Learning and Molecular Modelling Workflow for the Recognition of Potentially Novel Fungicides.Molecules (Basel, Switzerland) · 2020Article
- Considerations for Docking of Selective Angiotensin-Converting Enzyme Inhibitors.Molecules (Basel, Switzerland) · 2020Review
- Structural Requirements ofInternational journal of molecular sciences · 2019Article
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Authors and funding
5 authors.
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Abstract
The human Sigma1 receptor (S1R), which has been identified as a target with an important role in neuropsychological disorders, was first crystallized 3 years ago. Since S1R structure has no relation with another previous crystallized structures, the presence of the new crystal is an important hallmark for the design of agonists and antagonists against this important target. Some years ago, our group identified RC-33, a potent and selective S1R agonist, endowed with neuroprotective properties. In this work, drawing on new structural information, we studied the interactions of RC-33 and its analogs with the S1R binding site by using computational methods such as docking, interaction fingerprints, and receptor-guided alignment three dimensional quantitative structure-activity relationship (3D-QSAR). We found that RC-33 and its analogs adopted similar orientations within S1R binding site, with high similitude with orientations of the crystallized ligands; such information was used for identifying the residues involved in chemical interactions with ligands. Furthermore, the structure-activity relationship of the studied ligands was adequately described considering classical QSAR tests. All relevant aspects of the interactions between the studied compounds and S1R were covered here, through descriptions of orientations, binding interactions, and features that influence differential affinities. In this sense, the present results could be useful in the future design of novel S1R modulators.
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