US 12,278,001 B2
Information processing device, information processing method, recording medium recording information processing program, and information processing system
Yutaka Akiyama, Tokyo (JP); Masahito Ohue, Tokyo (JP); Keisuke Yanagisawa, Tokyo (JP); and Yasushi Yoshikawa, Tokyo (JP)
Assigned to Ahead Biocomputing, Co. Ltd., Kawasaki (JP)
Filed by Ahead Biocomputing, Co. Ltd., Kawasaki (JP)
Filed on Nov. 12, 2021, as Appl. No. 17/524,758.
Claims priority of application No. 2020-189856 (JP), filed on Nov. 13, 2020; and application No. 2021-023750 (JP), filed on Feb. 17, 2021.
Prior Publication US 2022/0157407 A1, May 19, 2022
Int. Cl. G16C 20/30 (2019.01); G16C 20/10 (2019.01); G16C 20/70 (2019.01)
CPC G16C 20/30 (2019.02) [G16C 20/10 (2019.02); G16C 20/70 (2019.02)] 14 Claims
OG exemplary drawing
 
1. An information processing device to receive confidential user peptide information, transform the confidential user information into shared feature information, and increase the efficiency estimates of peptide pharmacokinetics comprising:
a memory, wherein the memory is configured to store securely store confidential peptide information protecting the confidentiality of user peptide information and feature information converted from confidential peptide information;
wherein the feature information is stored on a shared database, the conversion of the peptide information to feature information is not readily converted into peptide information;
wherein the peptide feature information is shared by the users without breaching confidentiality;
wherein the confidential peptide information is stored on a user database accessible only to the user that supplies the confidential information;
a processor coupled to the memory, the processor being configured to:
receive request signals transmitted from a terminal over a network connection;
access and utilize multiple trained machine learning models stored in the memory, wherein the models are trained on at least the shared database datasets of peptide pharmacokinetics data;
generate prediction information from relating to pharmacokinetics of peptide in response to the request signals, wherein the prediction information includes quantitative estimates of membrane permeability of the peptide or biopersistence of the peptide;
generate design assistance information including specific modification site candidates among elements structuring the peptide; and wherein the modification site candidates are determined based on the generated prediction information and predefined rules for improving peptide stability and efficacy; and
transmit the prediction information to the terminal.