JP7201981B2 - 予測装置、予測方法および予測プログラム - Google Patents
予測装置、予測方法および予測プログラム Download PDFInfo
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- JP7201981B2 JP7201981B2 JP2018122565A JP2018122565A JP7201981B2 JP 7201981 B2 JP7201981 B2 JP 7201981B2 JP 2018122565 A JP2018122565 A JP 2018122565A JP 2018122565 A JP2018122565 A JP 2018122565A JP 7201981 B2 JP7201981 B2 JP 7201981B2
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
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- G06N3/02—Neural networks
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- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/80—Data visualisation
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
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Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18824219.2A EP3627404B1 (en) | 2017-06-30 | 2018-06-29 | Chemical compound activity predicting device, predicting method and program |
| CN201880044194.1A CN110809800B (zh) | 2017-06-30 | 2018-06-29 | 预测装置、预测方法、预测程序、学习模型输入数据生成装置和学习模型输入数据生成程序 |
| PCT/JP2018/024835 WO2019004437A1 (ja) | 2017-06-30 | 2018-06-29 | 予測装置、予測方法、予測プログラム、学習モデル入力データ生成装置および学習モデル入力データ生成プログラム |
| US16/698,129 US12394504B2 (en) | 2017-06-30 | 2019-11-27 | Predicting device, predicting method, predicting program, learning model input data generating device, and learning model input data generating program |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2017129823 | 2017-06-30 | ||
| JP2017129823 | 2017-06-30 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2019010095A JP2019010095A (ja) | 2019-01-24 |
| JP2019010095A5 JP2019010095A5 (enExample) | 2021-07-29 |
| JP7201981B2 true JP7201981B2 (ja) | 2023-01-11 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2018122565A Active JP7201981B2 (ja) | 2017-06-30 | 2018-06-28 | 予測装置、予測方法および予測プログラム |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US12394504B2 (enExample) |
| EP (1) | EP3627404B1 (enExample) |
| JP (1) | JP7201981B2 (enExample) |
| CN (1) | CN110809800B (enExample) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7218274B2 (ja) * | 2019-11-05 | 2023-02-06 | 株式会社 ディー・エヌ・エー | 化合物の性質を予測するための化合物性質予測装置、化合物性質予測プログラム及び化合物性質予測方法 |
| US20220350620A1 (en) * | 2021-04-30 | 2022-11-03 | Zebra Technologies Corporation | Industrial ethernet configuration tool with preview capabilities |
| US12159395B2 (en) * | 2021-11-17 | 2024-12-03 | Ford Global Technologies, Llc | System and method for identifying and analyzing desired properties of a material |
| JP7392208B1 (ja) * | 2022-03-10 | 2023-12-05 | 日本碍子株式会社 | 材料創出を支援するシステム及び方法、プログラム |
| CN115274002B (zh) * | 2022-06-13 | 2023-05-23 | 中国科学院广州地球化学研究所 | 一种基于机器学习的化合物持久性筛查方法 |
| CN115219197A (zh) * | 2022-07-09 | 2022-10-21 | 西安邮电大学 | 一种轴承故障智能诊断方法、系统、介质、设备及终端 |
| WO2025028333A1 (ja) * | 2023-07-28 | 2025-02-06 | 富士フイルム株式会社 | 情報処理装置、情報処理装置の作動方法、および情報処理装置の作動プログラム |
| US12368503B2 (en) | 2023-12-27 | 2025-07-22 | Quantum Generative Materials Llc | Intent-based satellite transmit management based on preexisting historical location and machine learning |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005250721A (ja) | 2004-03-03 | 2005-09-15 | Hitachi High-Technologies Corp | 蛋白質または高分子複合体の検索・照合方法及び装置 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU7311994A (en) * | 1993-05-21 | 1994-12-20 | Arris Pharmaceutical Corporation | A machine-learning approach to modeling biological activity for molecular design and to modeling other characteristics |
| JP2001503546A (ja) * | 1996-11-04 | 2001-03-13 | 3―ディメンショナル ファーマシューティカルズ インコーポレイテッド | 化学データの可視化、並びに対話式に処理および分析するためのシステム、方法、およびコンピュータプログラム製品 |
| AU2002308118A1 (en) * | 2001-04-06 | 2002-10-21 | Axxima Pharmaceuticals Ag | Method for generating a quantitative structure property activity relationship |
| US20040009536A1 (en) | 2001-07-30 | 2004-01-15 | George Grass | System and method for predicting adme/tox characteristics of a compound |
| US7751988B2 (en) | 2003-10-14 | 2010-07-06 | Verseon | Lead molecule cross-reaction prediction and optimization system |
| US7702467B2 (en) | 2004-06-29 | 2010-04-20 | Numerate, Inc. | Molecular property modeling using ranking |
| WO2007103531A2 (en) * | 2006-03-09 | 2007-09-13 | Cytokinetics, Inc. | Cellular predictive models for toxicities |
| WO2010036927A2 (en) * | 2008-09-26 | 2010-04-01 | The Regents Of The University Of Michigan | High-throughput ensemble-based docking and elucidation of 3-dimensional structural conformations of flexible biomolecular targets |
| WO2010138826A1 (en) * | 2009-05-29 | 2010-12-02 | University Of Utah Research Foundation | Methods and compositions related to cellular assays |
| CN102930113B (zh) * | 2012-11-14 | 2015-06-17 | 华南农业大学 | 用于预测化合物活性的两级拟合qsar模型的构建方法 |
| US20140278130A1 (en) * | 2013-03-14 | 2014-09-18 | William Michael Bowles | Method of predicting toxicity for chemical compounds |
| AU2014324670B2 (en) * | 2013-09-27 | 2019-11-21 | Codexis, Inc. | Structure based predictive modeling |
| KR20160127487A (ko) * | 2015-04-27 | 2016-11-04 | 주식회사 이큐스앤자루 | 선형 및 비선형 학습기법을 이용한 정량적 구조-활성 상관관계 기반 끓는점 예측을 위한 물성예측모델 |
| CN106874688B (zh) * | 2017-03-01 | 2019-03-12 | 中国药科大学 | 基于卷积神经网络的智能化先导化合物发现方法 |
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2018
- 2018-06-28 JP JP2018122565A patent/JP7201981B2/ja active Active
- 2018-06-29 EP EP18824219.2A patent/EP3627404B1/en active Active
- 2018-06-29 CN CN201880044194.1A patent/CN110809800B/zh active Active
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2019
- 2019-11-27 US US16/698,129 patent/US12394504B2/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005250721A (ja) | 2004-03-03 | 2005-09-15 | Hitachi High-Technologies Corp | 蛋白質または高分子複合体の検索・照合方法及び装置 |
Non-Patent Citations (3)
| Title |
|---|
| MA, Junshui,Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships,JOURNAL OF CHEMICAL INFORMATION AND MODELING,米国,American Chemical Society,2015年01月30日,Volume 55,p.263-274 |
| NETZEVA, Tatiana I,Current Status of Methods for Defining the Applicability Domain of (Quantitative)Structure-Activity,The Report and Recommendations of ECVAM Workshop 52,イタリア,2005年,p.1-19 |
| TONG, Weida,Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Che,JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES,米国,American Chemical Society,1998年05月20日,Volume 38,p.669-677 |
Also Published As
| Publication number | Publication date |
|---|---|
| US12394504B2 (en) | 2025-08-19 |
| EP3627404A4 (en) | 2020-07-22 |
| JP2019010095A (ja) | 2019-01-24 |
| CN110809800A (zh) | 2020-02-18 |
| CN110809800B (zh) | 2024-01-02 |
| EP3627404A1 (en) | 2020-03-25 |
| EP3627404B1 (en) | 2021-08-18 |
| US20200098450A1 (en) | 2020-03-26 |
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