iOBPdb A Database for Experimentally Determined Functional Characterization of Insect Odorant Binding Proteins

Area of Science:

• Biochemistry
• Bioinformatics
• Insect Physiology

Background:

• Odorant Binding Proteins (OBPs) transport volatile organic compounds (VOCs) but their structure-function relationships are poorly understood.
• Existing research on OBPs is fragmented across numerous studies, hindering comparative analysis.
• A centralized resource is needed to link OBP binding affinities with their structures and functions.

Purpose of the Study:

• To develop a comprehensive database, iOBPdb, integrating OBP binding affinity data with VOC targets.
• To facilitate the analysis of structure-function relationships across diverse insect OBPs.
• To enable new applications in biosensors, drug development, and pest control.

Main Methods:

• Compiled data from 181 functional studies, encompassing 382 unique OBPs from 91 insect species.
• Created a database (iOBPdb) detailing OBP binding affinities for 622 distinct VOC targets.
• Validated the dataset using phylogenetic mapping to ensure sequence authenticity and subfamily clustering.

Main Results:

• Established iOBPdb, a novel resource for OBP-VOC binding interaction data.
• The database offers powerful search and associative capabilities for data retrieval and analysis.
• Phylogenetic analysis confirmed the authenticity and subfamily-based clustering of OBP sequences.

Conclusions:

• iOBPdb provides a valuable resource for comparative analysis of OBP structure-function relationships.
• The database supports diverse applications, including the development of biosensors, targeted pesticides, and novel bioassays.
• This work enhances our understanding of insect olfaction and OBP roles in odor perception.