Title:
DATA AUGMENTATION METHOD ASSOCIATED WITH TARGET PROTEIN
Document Type and Number:
WIPO Patent Application WO/2024/090848
Kind Code:
A1
Abstract:
Disclosed according to an embodiment of the present disclosure is a computer program stored on a computer-readable storage medium. The method comprises the steps of: acquiring target proteins and index information associated with the target protein contained in training data; identifying homologous proteins of the target proteins; and augmenting the training data by correlating the index information associated with the target proteins and the homologous proteins.
Inventors:
LEE DAESEOK (KR)
SHIN BONGGUN (KR)
SHIN BONGGUN (KR)
Application Number:
PCT/KR2023/015594
Publication Date:
May 02, 2024
Filing Date:
October 11, 2023
Export Citation:
Assignee:
DEARGEN INC (KR)
International Classes:
G16B40/20; G06N20/00; G16B15/30; G16B30/10; G16B45/00; G16B50/00
Foreign References:
| KR20210136982A | 2021-11-17 | |||
| KR20220143800A | 2022-10-25 |
Other References:
BYUNGJO LEE: "A Deep Learning Approach with Data Augmentation to Predict Novel Spider Neurotoxic Peptides", INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, MOLECULAR DIVERSITY PRESERVATION INTERNATIONAL (MDPI), BASEL, CH, vol. 22, no. 22, 13 November 2021 (2021-11-13), Basel, CH , pages 12291, XP093163951, ISSN: 1422-0067, DOI: 10.3390/ijms222212291
ATERET ANABY-TAVOR: "Do Not Have Enough Data? Deep Learning to the Rescue!", PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, vol. 34, no. 05, 1 January 2020 (2020-01-01), pages 7383 - 7390, XP093163954, ISSN: 2159-5399, DOI: 10.1609/aaai.v34i05.6233
JOE G. GREENER: "Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints", NATURE COMMUNICATIONS, NATURE PUBLISHING GROUP, UK, vol. 10, no. 1, 1 January 2019 (2019-01-01), UK, XP093163958, ISSN: 2041-1723, DOI: 10.1038/s41467-019-11994-0
ATERET ANABY-TAVOR: "Do Not Have Enough Data? Deep Learning to the Rescue!", PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, vol. 34, no. 05, 1 January 2020 (2020-01-01), pages 7383 - 7390, XP093163954, ISSN: 2159-5399, DOI: 10.1609/aaai.v34i05.6233
JOE G. GREENER: "Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraints", NATURE COMMUNICATIONS, NATURE PUBLISHING GROUP, UK, vol. 10, no. 1, 1 January 2019 (2019-01-01), UK, XP093163958, ISSN: 2041-1723, DOI: 10.1038/s41467-019-11994-0
Attorney, Agent or Firm:
LEE, Dae Ho et al. (KR)
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