We developed this technique specifically using our proprietary dataset, KMAP®, full transcriptome profiling for thousands of drugs.
Our talented team enables scientists and researchers to make unexpected discoveries hidden behind the conventional knowledge.
- Understand a drug’s systematic mode of action (MoA) or disease processes/subtypes at the transcriptome level.
- Reveal secondary effects that compromise therapeutic outcome.
- Predict potential off-targets.
- Identify perturbed pathways that offset a drug’s intended effect.
- Match the appropriate disease model with a patient subgroup for successful development.
- Search optimal drug pairs for effective combination therapy.
- Drug repositioning for different disease models/patients.
- Discover novel indications for candidate, existing, or failed drugs as well as natural products.
- Apply a diverse range of drug modalities like small molecules, protein degraders (PROTAC and AUTOTAC), and antibodies.
drugs were developed as specific agonist/antagonist for a single target at the time of filing. However, subsequent studies revealed an average of ~15 experimentally validated targets per a drug.
RNA or Cells (Tissues)
* TAT: Turn-Around Time
After data generation, we examine the quality to decide whether to move on to the next step.
* NGS: Next Generation Sequencing
are reported within 2 weeks, and customers can view the reports on a private page of the KMAP Express™ web platform.
- Kwon et al. Connectivity map-based drug repositioning of bortezomib to reverse the metastatic effect of GALNT14 in lung cancer. Oncogene 39:4567–4580 (2020).
- Hong et al. Large-scale pharmacogenomics based drug discovery for ITGB3 dependent chemoresistance in mesenchymal lung cancer. Mol Cancer 17:175 (2018). DOI: 10.1186/s12943-018-0924-8
- Kwon et al. In silico drug repositioning: from large-scale transcriptome data to therapeutics. Arch Pharm Res 42:879–889 (2019). DOI: 10.1007/s12272-019-01176-3
We focus on interpreting data in context rather than on rapid data production.
Seodaemun-gu, Seoul, Republic of Korea