Title:
METHOD FOR SEARCHING FOR PROTEIN REFOLDING CONDITIONS, AND INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM FOR SUPPORTING SEARCH FOR PROTEIN REFOLDING CONDITIONS
Document Type and Number:
WIPO Patent Application WO/2021/221130
Kind Code:
A1
Abstract:
The present invention addresses the problem of providing, inter alia, a method for searching for protein refolding conditions, the method making it possible to efficiently search for refolding conditions that yield excellent refolding results. In this embodiment: 1) a first refolding experiment is carried out under a first plurality of conditions and a first range is determined on the basis of the first plurality of conditions and results of the first refolding experiment, and a second refolding experiment is carried out under a second plurality of conditions and a second range is determined on the basis of the second plurality of conditions and results of the second refolding experiment; 2) a Gaussian process regression model is created using the first and second plurality of conditions and the results of the first and second refolding experiments as training data, expected values for a plurality of conditions to be calculated are calculated by the Gaussian process regression model, said expected values being established on the basis of the first and second ranges, and a prescribed number of conditions are determined from the plurality of conditions to be calculated on the basis of the expected values; 3) a refolding experiment is carried out under the prescribed number of conditions; and 4) steps 2) and 3) are repeated while adding the results of the refolding experiment under the prescribed number of conditions to the training data until the target experimental results are obtained, and conditions are determined from the prescribed number of conditions when the target experimental results are obtained.
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Inventors:
OKASORA TAKAHIRO (JP)
TOKUYAMA KENTO (JP)
KUWABARA KO (JP)
HOSHINO WATARU (JP)
SHIMODAIRA YOSHIKI (JP)
TOKUYAMA KENTO (JP)
KUWABARA KO (JP)
HOSHINO WATARU (JP)
SHIMODAIRA YOSHIKI (JP)
Application Number:
PCT/JP2021/017087
Publication Date:
November 04, 2021
Filing Date:
April 28, 2021
Export Citation:
Assignee:
AJINOMOTO KK (JP)
International Classes:
C07K1/113; G06N20/00
Domestic Patent References:
| WO2019244474A1 | 2019-12-26 |
Foreign References:
| JP2011046686A | 2011-03-10 | |||
| JP2018073360A | 2018-05-10 |
Other References:
DECHAVANNE, V. ET AL.: "A high-throughput protein refolding screen in 96-well format combined with design of experiments to optimize the refolding conditions", PROTEIN EXPRESSION AND PURIFICATION, vol. 75, 2011, pages 192 - 203, XP027503773, DOI: 10.1016/j.pep.2010.09.008
WANG, Y. ET AL.: "A Systematic Protein Refolding Screen Method using the DGR Approach Reveals that Time and Secondary TSA are Essential Variables", SCIENTIFIC REPORTS, vol. 7, no. 9355, 19 June 2017 (2017-06-19), pages 1 - 10, XP009526046
AKAHO, SHOTARO: "Introduction to Gaussian Process Regression", SYSTEMS, CONTROL AND INFORMATION, vol. 62, no. 10, 2018, pages 390 - 395
ERIC BROCHU; VLAD M. CORA; NANDO DE FREITAS: "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 12 December 2010 (2010-12-12), 201 Olin Library Cornell University Ithaca, NY 14853 , XP080467931
FU, Z. ET AL.: "Optimization of a Saccharomyces Cerevisiae Fermentation Process for Production of a Therapeutic Recombinant Protein Using a Multivariate Bayesian Approach", BIOTECHNOL. PROG., vol. 28, no. 4, 2012, pages 1095 - 1105, XP055389156, DOI: 10.1002/btpr.1557
UENO, T. ET AL.: "Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling", COMPUTATIONAL MATERIALS, vol. 4, no. 1, 25 January 2018 (2018-01-25), pages 4 - 8, XP055869937
WANG, Y. ET AL.: "A Systematic Protein Refolding Screen Method using the DGR Approach Reveals that Time and Secondary TSA are Essential Variables", SCIENTIFIC REPORTS, vol. 7, no. 9355, 19 June 2017 (2017-06-19), pages 1 - 10, XP009526046
AKAHO, SHOTARO: "Introduction to Gaussian Process Regression", SYSTEMS, CONTROL AND INFORMATION, vol. 62, no. 10, 2018, pages 390 - 395
ERIC BROCHU; VLAD M. CORA; NANDO DE FREITAS: "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 12 December 2010 (2010-12-12), 201 Olin Library Cornell University Ithaca, NY 14853 , XP080467931
FU, Z. ET AL.: "Optimization of a Saccharomyces Cerevisiae Fermentation Process for Production of a Therapeutic Recombinant Protein Using a Multivariate Bayesian Approach", BIOTECHNOL. PROG., vol. 28, no. 4, 2012, pages 1095 - 1105, XP055389156, DOI: 10.1002/btpr.1557
UENO, T. ET AL.: "Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling", COMPUTATIONAL MATERIALS, vol. 4, no. 1, 25 January 2018 (2018-01-25), pages 4 - 8, XP055869937
Attorney, Agent or Firm:
SAKAI INTERNATIONAL PATENT OFFICE (JP)
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