DataLens.Tools · Flagship Research ProjectA peer-reviewed research platform that connects published aphid GC-MS evidence with biological context, molecular structures, cheminformatics, evidence networks, structural similarity, and exploratory odorant-binding-protein docking.
VOC·BIO Library was created to bring together fragmented information that is difficult to interpret when chemical annotation, identification confidence, biological context, molecular structure, and computational analyses are stored separately.
Published aphid volatile records can be difficult to compare because chemical annotations, identification confidence, context, and structures are often distributed across separate tables, papers, or databases.
VOC·BIO integrates these layers while preserving provenance and uncertainty, allowing users to move between source evidence, chemical interpretation, context, similarity, networks, and exploratory docking.
Version 1.0 combines evidence review and computational exploration in one interface.
VOCI is the educational guide to VOC·BIO. This interactive demonstration rotates through 20 curated questions grounded in the published Version 1.0 record. Choose a topic, pause the sequence, or explore questions at your own pace.
Curated questions only. VOCI does not invent evidence or convert computational inference into biological proof.
VOC·BIO deliberately separates what was reported in source publications from what is inferred through structure-enabled or docking analyses.
Open the interactive Streamlit research platform.
Inspect the public implementation and repository materials.
Explore the wider chemical ecology and computational research organization.
Open the archived software release and reproducibility record.
Use the concept DOI for the evolving software record.
Open the peer-reviewed article in Insects.
VOC·BIO is an interdisciplinary collaboration linking experimental chemical ecology, entomology, computational biology, cheminformatics, data integration, and reproducible research software.
Associate Professor, Department of Chemistry, Taif University. Contributor in experimental design, GC-MS research, volatile-compound datasets, and chemical-ecology interpretation.
Research profile →Computational Research Scientist, University of Rostock, and Co-founder & CEO of DataLens.Tools. Contributor in VOC data integration, library development, knowledge-graph architecture, cheminformatics, and reproducible computational workflows.
DataLens.Tools →Assistant Professor of Entomology, Taif University. Contributor in entomology expertise, insect-plant interactions, behavioural bioassays, and biological interpretation.
Research organization →Alsufyani T, Hussain T, Alotaibi NJ. VOC·BIO Library: An Integrated Platform for Published Aphid GC-MS Evidence, Biological Contexts, Cheminformatics and Exploratory OBP Docking. Insects. 2026;17(10):1062.
Published 15 October 2026 · DOI: 10.3390/insects17101062
Use the live platform to inspect published features, biological contexts, molecular structures, networks, similarity analyses, source evidence, and the exploratory docking layer.