Structure modelling of odorant receptor from and identification of potential repellent molecules.
Title | Structure modelling of odorant receptor from and identification of potential repellent molecules. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Tiwari V, Sowdhamini R |
Journal | Comput Struct Biotechnol J |
Volume | 21 |
Pagination | 2204-2214 |
Date Published | 2023 |
ISSN | 2001-0370 |
Abstract | Odorant receptors (ORs) are important class of proteins involved in olfactory behaviour of insects. These are GPCR-like heptahelical transmembrane proteins with inverted topology compared to GPCR and require a co-receptor (ORco) for their function. OR function can be modulated through small molecules and negative modulation can be beneficial in case of disease vectors like . OR4 of is implicated in host recognition through human odour. is a vector for viruses that spread diseases like dengue, Zika and Chikungunya. In this study, we have attempted to model the full-length structure of OR4 and the ORco of due to lack of experimental structure. Further, we have screened a library of natural compounds (>0.3 million) along with known repellent molecules against ORco and OR4. Many natural compounds, including those from plants like (Holy Basil) and (Black pepper) were found to have better binding affinity towards ORco compared to known repellents like DEET providing an alternative to existing repellent molecules. For specific inhibitor of OR4, several natural compounds (including those from plant like Mulberry) were identified. Further, we have utilized multiple docking approaches and conservation analysis to understand the interaction between OR4 and ORco. It was observed that the residues from the seventh transmembrane helix of OR4 and pore forming helix of ORco could play an important role along with known intracellular loop 3 residues in mediating the heteromer formation of OR and ORco. |
DOI | 10.1016/j.csbj.2023.03.005 |
Alternate Journal | Comput Struct Biotechnol J |
PubMed ID | 37013002 |
PubMed Central ID | PMC10066510 |