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Published on: August 17, 2022
Insect RDL Receptor Models for Virtual Screening: Impact of the Template Conformational State in Pentameric
Iván Felsztyna1,2, Marcos A Villarreal3,4, Daniel A García1,2
1Facultad de Ciencias Exactas, Físicas y Naturales, Departamento de Química. Cátedra de Química Biológica, Universidad Nacional de Córdoba, Córdoba 5016, Argentina.
Homology models of the RDL receptor (a key insecticide target) were evaluated for virtual screening. Models based on closed-state templates performed best, offering insights for insecticide discovery.
Area of Science:
- Structural Biology
- Computational Chemistry
- Pharmacology
Background:
- The RDL receptor, a pentameric ligand-gated ion channel (pLGIC), is a crucial target for insecticides.
- Experimental structures of pLGICs are challenging to obtain, necessitating the use of homology modeling.
- The utility of homology models for virtual screening (VS) in pLGICs remains largely unevaluated.
Purpose of the Study:
- To assess the factors influencing virtual screening (VS) performance using RDL receptor homology models.
- To specifically investigate the impact of template conformational states (closed, open, desensitized) on VS efficacy.
- To provide guidelines for employing homology modeling in VS for pLGICs.
Main Methods:
- Generated fifteen RDL homology models using diverse pLGIC templates representing different conformational states.
- Conducted retrospective virtual screening (VS) on each model to evaluate ligand prioritization.
- Performed molecular dynamics simulations (MDS) on top-performing models complexed with an active ligand.
Main Results:
- Homology model VS performance varied, correlating with binding site structural properties, favoring more constricted cavities.
- The best VS performance was achieved using a homology model derived from a closed-state pLGIC template.
- MDS corroborated that the closed-state model best represented interactions with an active ligand.
Conclusions:
- Template selection and examination of conformational state variations are critical for successful VS using homology models.
- Closed-state homology models appear most suitable for virtual screening of RDL receptor ligands.
- Findings offer a framework for applying homology modeling to VS for other pLGIC family members.
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