US 11,915,832 B2
Apparatus and method for processing multi-omics data for discovering new drug candidate substance
Young Woo Pae, Seoul (KR); and Seung-Hyun Jin, Seoul (KR)
Assigned to MEDIRITA, Seoul (KR)
Appl. No. 17/288,906
Filed by MEDIRITA, Seoul (KR)
PCT Filed Mar. 13, 2019, PCT No. PCT/KR2019/002919
§ 371(c)(1), (2) Date Apr. 26, 2021,
PCT Pub. No. WO2020/138589, PCT Pub. Date Jul. 2, 2020.
Claims priority of application No. 10-2018-0168656 (KR), filed on Dec. 24, 2018; and application No. 10-2019-0028789 (KR), filed on Mar. 13, 2019.
Prior Publication US 2021/0398688 A1, Dec. 23, 2021
Int. Cl. G06F 16/245 (2019.01); G16B 45/00 (2019.01); G06F 16/901 (2019.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G16H 70/40 (2018.01); G16B 40/00 (2019.01)
CPC G16H 50/70 (2018.01) [G06F 16/245 (2019.01); G06F 16/9024 (2019.01); G16B 40/00 (2019.02); G16B 45/00 (2019.02); G16H 70/40 (2018.01); G16H 70/60 (2018.01)] 13 Claims
OG exemplary drawing
 
1. A method for processing data for discovering a new drug candidate substance by a data processing apparatus, the method comprising:
receiving, through a user interface, one or more omics levels from among a plurality of omics levels that make up omics in an omics database (DB);
receiving, through the user interface, one or more types of mutual association degrees from among a plurality of types of mutual association degrees that make up the omics in the omics DB;
selecting, from the omics DB, a first DB for the one or more omics levels and a second DB for the one or more types of mutual association degrees, the first DB including first data about each omics level of the one or more omics levels, and the second DB including second data about each type of mutual association degree of the one or more types of mutual association degrees;
generating a first matrix composed of the first DB and the second DB, the first matrix having the one or more omics levels disposed on each of a horizontal axis and a vertical axis and the one or more types of mutual association degrees displayed at points where the horizontal axis and the vertical axis intersect;
receiving, through the user interface, a predetermined search word;
extracting, using the first matrix, a plurality of biological entities related to the predetermined search word and degrees of mutual associations between the plurality of biological entities which are related to the predetermined search word; and
generating a multi-omics network in which a plurality of nodes including the plurality of biological entities are connected according to the degrees of mutual associations between the plurality of biological entities,
wherein a portion of the plurality of biological entities are included in different omics levels from remaining biological entities of the plurality of biological entities.