History & Development
The development history of iORbase platform, from its inception to the current version, documenting major milestones and achievements.
2026
iORbase 2.0 – Docking Performance Analysis
Further analysis of docking screening performance; iDock now provides positive‑result estimations and methodological guidelines on threshold selection.
June 20, 2026 — The screening performance of the molecular docking method in iORbase 2.0 was further analysed and explained. In the iDock module, users are now provided with an estimation of whether a docking result is likely positive, rather than merely a raw docking score. Concurrently, the Methodology section was supplemented with detailed instructions on threshold selection and the applicable scope of the docking approach, enhancing the reliability of virtual screening outcomes.
2025
iORbase 2.0 Beta Release
Major upgrade with new iGene and iMDanalysis modules, enhanced iDock, removal of OdorSeek, and comprehensive coverage of sequence, structure, and function.
December 20, 2025 — iORbase 2.0 was released as a beta version. The less‑frequently used OdorSeek module from v1.0 was removed, while all other modules were retained and comprehensively upgraded. To fill gaps in the iOR analysis pipeline not covered in v1.0, v2.0 introduced two new modules:
- iGene – a gene annotation tool specifically for iORs.
- iMDanalysis – a platform for molecular dynamics simulation analysis.
The online docking module iDock was fully overhauled to support user‑uploaded iOR structures and small molecules for docking. The DockingSets module now presents statistical analyses of large‑scale docking data, offering reliable strategies for interpreting positive hits; the low‑usage docking structure display was removed. Additionally, a batch docking system setup tool was provided, enabling simple large‑scale virtual screening that is not restricted to individual iORs or odor molecules. iORbase 2.0 strives to cover the entire research workflow—from sequence annotation to structural modelling and functional analysis.
2024
iDock Bug Fix – Pocket Docking Issue
Resolved the problem where ligands were occasionally docked outside the receptor pocket.
November 20, 2024 — A critical bug in the online molecular docking module was fixed. Previously, in some docking results, the ligand molecule would be placed outside the receptor pocket. This issue has been corrected, ensuring more reliable binding pose predictions.
2024
Introduction of iDock in iORbase 1.0
Added an online molecular docking module within iInteraction, supporting docking with database iORs and user‑uploaded ligands.
June 10, 2024 — The iInteraction module of iORbase 1.0 was extended with a new online molecular docking module named iDock. In its initial version, iDock supported docking between iOR structures already deposited in the database and small molecules uploaded by users, returning docking scores and conformational poses.
2023
Top Downloaded Paper Recognition
The iORbase paper was ranked among the Top Downloaded Papers of Insect Science in 2023.
November 1, 2023 — The iORbase 1.0 research paper was recognised as one of the Top Downloaded Papers of the journal Insect Science for the year 2023. This accolade reflects the platform's growing impact and utility within the insect olfactory research community. (View the top‑downloaded list)
2022
iORbase 1.0 Paper Published
Online publication in Insect Science with DOI: 10.1111/1744-7917.13162.
December 15, 2022 — The iORbase 1.0 paper was published online in the journal Insect Science. The article formally introduces the platform, its modules, and its underlying methodologies to the scientific community. DOI: 10.1111/1744-7917.13162
2022
iORbase 1.0 Beta Launch
Initial beta release featuring iORPDB, iModelTM, OdorTools, iInteraction, and OdorSeek, with large‑scale data and template‑based pseudogene prediction.
July 1, 2022 — iORbase 1.0 was released as a beta version, incorporating the modules iORPDB, iModelTM, OdorTools, and iInteraction. The database showcased 5,980 annotated and structure‑predicted insect olfactory receptors (iORs), 2,077 insect pheromone molecules, and approximately 14 million molecular docking pairs. A template‑based structure prediction method was provided to help determine whether an iOR annotation corresponds to a pseudogene. Furthermore, the OdorSeek module enabled users to search for and upload small molecules that are chemically similar to query compounds, facilitating the discovery of potential odorants.