Data Science Company for Next Generation Drug Discovery
OVERVIEW
Promising candidate substances come from high quality data.
Drug
We Provide a roadmap to understand the overall drug characteristics and mechanism of action, such as drug target prediction, candidate substance prediction, drug repositioning, new indication discovery, and side-effect prediction.
Tech
Proprietary algorithms and integrated platform technologies
-
BEAR: Bioactive compound Enrichment by Assay Repositioning (Korean & U.S patent registration)
-
BACoN: BioActivity based Compound Network (Korean patent registration)
-
CSgator: Compound Set Navigator
(J. Cheminformatics 2019, csgator.ewha.ac.kr) -
KMAP Express (kmap.kaipharm.com)
-
In addition, several research papers and patent applications are currently in preparation.
Data
Customized data production
+ large-scale data mining
-
~3,000 approved drugs’ transcriptomic profiling
(in-house production) -
~40,000 compound libraries’ transcriptomic profiling
-
~600 diseases’ transcriptomic profiling
-
~100M compounds information
-
~200M compounds’ bioactivities
-
~10M compounds-target interactions
-
~1.57M drug-disease interactions
-
~1,000 biological pathway information
(Last updated Nov. 2021)
01. Drug
We Provide a roadmap to understand the overall drug characteristics and mechanism of action, such as drug target prediction, candidate substance prediction, drug repositioning, new indication discovery, and side-effect prediction.
02. Tech
Proprietary algorithms and integrated platform technologies
-
BEAR: Bioactive compound Enrichment by Assay Repositioning (Korean & U.S patent registration)
-
BACoN: BioActivity based Compound Network (Korean patent registration)
-
CSgator: Compound Set Navigator
(J. Cheminformatics 2019, csgator.ewha.ac.kr) -
KMAP Express (kmap.kaipharm.com)
-
In addition, several research papers and patent applications are currently in preparation.
03. Data
Customized data production
+ large-scale data mining
-
~3,000 approved drugs’ transcriptomic profiling
(in-house production) -
~40,000 compound libraries’ transcriptomic profiling
-
~600 diseases’ transcriptomic profiling
-
~100M compounds information
-
~200M compounds’ bioactivities
-
~10M compounds-target interactions
-
~1.57M drug-disease interactions
-
~1,000 biological pathway information
(Last updated Nov. 2021)