公开(公告)号：US20200342957A1

公开(公告)日：2020-10-29

申请号：US16857765

申请日：2020-04-24

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Keunwan PARK ,  Cheol-Ho PAN ,  Young-Joon KO ,  Prasannavenkatesh DURAI ,  Yongsoo CHOI ,  Moon-Hyeong SEO ,  Kyungsu KANG ,  Jin Soo PARK ,  Jaeyoung KWON

IPC: G16B20/30 ,  G16B40/20 ,  G16B15/30

Abstract: The present invention relates to an ensemble evolutionary chemical binding similarity (ensECBS) model, which is a chemical binding similarity searching method widely applicable as a powerful tool for representing an unknown relationship between chemicals by using evolutionary information of proteins binding to chemicals.

公开(公告)号：US20210202039A1

公开(公告)日：2021-07-01

申请号：US17139031

申请日：2020-12-31

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Keunwan PARK ,  Cheol-Ho PAN ,  Moon-Hyeong SEO ,  Dae-geun SONG ,  Chulhee KWAK

IPC: G16B30/10

Abstract: The present invention relates to a method for designing an optimized mutant protein sequence using amino acid co-evolutionary information. Specifically, the present invention relates to a method for searching a protein having a novel mutant sequence with improved expression level, water solubility, stability, and functionality, while maintaining the original function of the protein, using amino acid co-evolutionary information and information on protein tertiary structure.