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Professor Toshio Fujita (1929-2017) as a pioneer of medicinal chemistry

Chem-Bio Informatics Journal, 2017/12/31, Vol.17, pp.110-111

2017

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Development of the KY-methods for used in toxicity prediction

Toxicology letters, 2013-08, Vol.221, p.S81-S81

Yuta, Kohtaro

2013

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Experimental estimation of postmortem interval using multivariate analysis of proton NMR metabolomic data

Legal medicine (Tokyo, Japan), 2009-04, Vol.11, p.S282-S285

2009

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P-58. Consideration of the applicability of ChatGPT and other methods, to the "Autonomous alternatives to animal experiments"

Alternatives to Animal Testing and Experimentation, 2023-12, Vol.28 (suppl), p.138-138

Kohtaro Yuta

2023

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Skin Sensitization Study by a New Qualitative Structure-toxicity Relationships (QSTR) Approach: K-step Yard Sampling (KY) Methods

Journal of Oral Tissue Engineering, 2012, Vol.9(3), pp.167-173

2012

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Skin sensitization study by a new qualitative structure–toxicity relationships (QSTR) approach: K-step Yard Sampling (KY) methods

Toxicology letters, 2013-08, Vol.221, p.S85-S85

2013

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P-18. Coordination and unifed technology for proper use of chemical systems

Alternatives to Animal Testing and Experimentation, 2020-12, Vol.25 (suppl), p.110-110

Kohtaro Yuta

2020

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S1-4 In silico toxicity prediction of ICT, IoT, big data era : QS (A/T) and artificial intelligence

Alternatives to Animal Testing and Experimentation, 2016-12, Vol.21 (2), p.86-86

Kohtaro YUTA

2016

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P-44 Studies on the fusion of in silico toxicity prediction and alternatives to animal experiments : Development of two-class classification methods that specializes in toxicity prediction

Alternatives to Animal Testing and Experimentation, 2014-12, Vol.19 (suppl), p.185-185

KOHTARO YUTA

2014

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医薬農薬化学の開拓者・藤田稔夫先生を偲んで

Chem-Bio Informatics Journal, 2017/12/31, Vol.17, pp.110-111

2017

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P-6 Research aimed at integration of in silico assessment of toxicity to the Alternatives to Animal Experiments (1)

Alternatives to Animal Testing and Experimentation, 2013-12, Vol.18 (suppl), p.169-169

Kohtaro Yuta

2013

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Metabolic Analysis of Bone Marrow Mesenchymal Stem Cells and Adipose-Derived Stem Cells Using NMR-Based Metabolomics

Blood, 2006-11, Vol.108 (11), p.4244-4244

2006

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P-15 The application proposal of the in silico technology to determine critical endpoints based on result of several different experimental methods

Alternatives to Animal Testing and Experimentation, 2012-12, Vol.17 (suppl), p.170-170

Kohtaro Yuta

2012

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A Respiratory Sensitization Study by a New Quantitative Structure-Activity Relationships (QSAR)

Alternatives to Animal Testing and Experimentation, 2010/12/31, Vol.15(3), pp.124-130

2010

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Skin Sensitization Study by Quantitative Structure-Activity Relationships (QSAR)

Alternatives to Animal Testing and Experimentation, 2022-08, Vol.27 (1), p.34-34

2022

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A Respiratory Sensitization Study by a New Quantitative Structure-Activity Relationships (QSAR)

Alternatives to Animal Testing and Experimentation, 2022-08, Vol.27 (1), p.33-33

2022

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P-1 Skin sensitization study from only animal data by structure-toxicity relationships (QSTR) approach

Alternatives to Animal Testing and Experimentation, 2013-12, Vol.18 (suppl), p.164-164

2013

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Skin Sensitization Model Based on Only Animal Data by Qualitative Structure-Toxicity Relationships (QSTR) Approach

Allergy and Immunotoxicology in Occupational Health, 2016, p.93-101

2016

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DEVELOPMENT OF "HYPER VOLUME" CONCEPT FOR STATISTICAL PATTERN RECOGNITION : APPLICATION TO CLASSIFICATION PROBLEMS

Bulletin of the Computational Statistics of Japan, 1991/05/21, Vol.4(1), pp.1-11

Yuta, Kohtaro

1991

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P-2 Skin sensitization study by a new qualitative structure-toxicity relationships (QSTR) approach: K-step Yard sampling (KY) methods

Alternatives to Animal Testing and Experimentation, 2011, Vol.16 (suppl), p.190-190

2011

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P-2 Respiratory sensitization study by quantitative structure-activity relationships (QSAR)

Alternatives to Animal Testing and Experimentation, 2010, Vol.15 (suppl), p.231-231

2010

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薬理活性,ADME,毒性,物性の同時評価 : インシリコスクリーニングとドラッグデザイン(最前線)

ファルマシア, 2004/08/01, Vol.40(8), pp.719-723

湯田, 浩太郎

2004

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P-1 Evaluation of Newly-Developed Qualitative Structure-Activity Relationships software

Alternatives to Animal Testing and Experimentation, 2011, Vol.16 (suppl), p.189-189

2011

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STRUCTURE-ACTIVITY RELATIONSHIP STUDY OF THE QUINOLONE ANTIBACTERIALS BY THE NEURAL NETWORKS

Computer Aided Innovation of New Materials, 1991, p.49-51

Yuta, Kohtaro

1991

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New synthetic routes to synthons for the synthesis of functionalized aspidosperma alkaloids

Journal of the Chemical Society. Chemical communications, 1978 (21), p.943

1978

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Professor Toshio Fujita (1929-2017) as a pioneer of medicinal chemistry

Development of the KY-methods for used in toxicity prediction

Experimental estimation of postmortem interval using multivariate analysis of proton NMR metabolomic data

P-58. Consideration of the applicability of ChatGPT and other methods, to the "Autonomous alternatives to animal experiments"

Skin Sensitization Study by a New Qualitative Structure-toxicity Relationships (QSTR) Approach: K-step Yard Sampling (KY) Methods

Skin sensitization study by a new qualitative structure–toxicity relationships (QSTR) approach: K-step Yard Sampling (KY) methods

P-18. Coordination and unifed technology for proper use of chemical systems

S1-4 In silico toxicity prediction of ICT, IoT, big data era : QS (A/T) and artificial intelligence

P-44 Studies on the fusion of in silico toxicity prediction and alternatives to animal experiments : Development of two-class classification methods that specializes in toxicity prediction

医薬農薬化学の開拓者・藤田稔夫先生を偲んで

P-6 Research aimed at integration of in silico assessment of toxicity to the Alternatives to Animal Experiments (1)

Metabolic Analysis of Bone Marrow Mesenchymal Stem Cells and Adipose-Derived Stem Cells Using NMR-Based Metabolomics

P-15 The application proposal of the in silico technology to determine critical endpoints based on result of several different experimental methods

A Respiratory Sensitization Study by a New Quantitative Structure-Activity Relationships (QSAR)

Skin Sensitization Study by Quantitative Structure-Activity Relationships (QSAR)

A Respiratory Sensitization Study by a New Quantitative Structure-Activity Relationships (QSAR)

P-1 Skin sensitization study from only animal data by structure-toxicity relationships (QSTR) approach

Skin Sensitization Model Based on Only Animal Data by Qualitative Structure-Toxicity Relationships (QSTR) Approach

DEVELOPMENT OF "HYPER VOLUME" CONCEPT FOR STATISTICAL PATTERN RECOGNITION : APPLICATION TO CLASSIFICATION PROBLEMS

P-2 Skin sensitization study by a new qualitative structure-toxicity relationships (QSTR) approach: K-step Yard sampling (KY) methods

P-2 Respiratory sensitization study by quantitative structure-activity relationships (QSAR)

薬理活性,ADME,毒性,物性の同時評価 : インシリコスクリーニングとドラッグデザイン(最前線)

P-1 Evaluation of Newly-Developed Qualitative Structure-Activity Relationships software

STRUCTURE-ACTIVITY RELATIONSHIP STUDY OF THE QUINOLONE ANTIBACTERIALS BY THE NEURAL NETWORKS

New synthetic routes to synthons for the synthesis of functionalized aspidosperma alkaloids

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