Hsin Kun-Yi Hsin KunYi

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HSIN KunYi シーンクンイー

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Researcher Number	60604155
Affiliation (based on the past Project Information) *help	2015: 沖縄科学技術大学院大学, その他の研究科, 研究員 2014 – 2015: 沖縄科学技術大学院大学, 統合オープンシステムユニット, 研究員
Review Section/Research Field	Principal Investigator Life / Health / Medical informatics
Keywords	Principal Investigator Drug Discovery / Molecular Interaction / Machine Learning / Network Pharmacology / Molecular Dynamics / Docking Simulation

Development of an intelligent dynamic docking pipeline for improving molecular docking simulations.Principal Investigator
- Principal Investigator
  
  Hsin Kun-Yi
- Project Period (FY)
  2014 – 2015
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Life / Health / Medical informatics
- Research Institution
  Okinawa Institute of Science and Technology Graduate University

All 2016 2015 2014 Other

All Journal Article Presentation Patent

[Journal Article] systemsDock: a web server for network pharmacology-based prediction and analysis.2016
- Author(s)
  Kun-Yi Hsin, Yukiko Matsuoka, Yoshiyuki Asai, Kyota Kamiyoshi, Tokiko Watanabe, Yoshihiro Kawaoka and Hiroaki Kitano
- Journal Title
  
  Nucleic Acids Research
  
  Volume: . Issue: W1 Pages: 1-1
- DOI
  10.1093/nar/gkw335
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730152, KAKENHI-PROJECT-16K08016
[Journal Article] Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target2015
- Author(s)
  Chiba S, Akiyama Y, Sekijima M.
- Journal Title
  
  Scientific Reports
  
  Volume: 5 Issue: 1 Pages: 1-13
- DOI
  10.1038/srep17209
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24240044, KAKENHI-PROJECT-15H02776, KAKENHI-PROJECT-15J11261, KAKENHI-PROJECT-25430186, KAKENHI-PROJECT-26730152, KAKENHI-PUBLICLY-26120528
[Journal Article] Application of machine leaning approaches in drug target identification and network pharmacology.2015
- Author(s)
  Hsin, K. Y. Kitano, H., Matsuoka, Y. and Ghosh, S.
- Journal Title
  
  IEEE
  
  Volume: . Pages: 219-219
- DOI
  10.1109/iciibms.2015.7439493
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730152
[Patent] Interaction prediction device, interaction prediction method, and computer program product2014
- Inventor(s)
  Kun-Yi Hsin, Hiroaki Kitano
- Industrial Property Rights Holder
  Kun-Yi Hsin, Hiroaki Kitano
- Industrial Property Rights Type
  特許
- Filing Date
  2014-12-01
- Overseas
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Development of predictive machine leaning system in target protein identification and network pharmacology.2016
- Author(s)
  Kun-Yi Hsin
- Organizer
  Advances in Systems and Synthetic Biology 2016
- Place of Presentation
  Evry, France
- Year and Date
  2016-03-21
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Application of machine leaning approaches in drug target identification and network pharmacology2015
- Author(s)
  Kun-Yi Hsin
- Organizer
  International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS 2015), Japan
- Place of Presentation
  Okinawa, Japan
- Year and Date
  2015-11-28
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Discovery of anti-influenza agents and drug targets using pathway map (FluMap) and computational approaches2015
- Author(s)
  Kun-Yi Hsin
- Organizer
  東京大学医科学研究所共同研究拠点成果報告会
- Place of Presentation
  Tokyo, Japan
- Year and Date
  2015-03-06
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Using machine learning systems and multiple docking simulations for network pharmacology making safer drugs
- Author(s)
  Kun-Yi Hsin, Samik Ghosh and Hiroaki Kitano
- Organizer
  Advances in Biomolecular Modelling and Simulations using CHARMM
- Place of Presentation
  Dublin, Ireland
- Year and Date
  2014-06-03 – 2014-06-06
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Molecular Simulations for Network Pharmacology
- Author(s)
  Kun-Yi Hsin, Samik Ghosh and Hiroaki Kitano
- Organizer
  Symposium EuroQSAR - Understanding Chemical-Biological Interactions
- Place of Presentation
  St. Petersburg, Russia
- Year and Date
  2014-08-31 – 2014-09-04
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Combining machine learning systems and multiple docking simulations for network pharmacology
- Author(s)
  Kun-Yi Hsin, Yukiko Matsuoka and Hiroaki Kitano
- Organizer
  4th Negative Strand Virus Symposium (NSV-J)
- Place of Presentation
  Okinawa, Japan
- Year and Date
  2015-01-19 – 2015-01-21
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] High-Throughput Virtual Molecular Docking
- Author(s)
  Kun-Yi Hsin and Hiroaki Kitano
- Organizer
  BioJapan 2014, World Business Forum
- Place of Presentation
  Yokohama, Japan
- Year and Date
  2014-10-15 – 2014-10-17
- Data Source
  KAKENHI-PROJECT-26730152
[Presentation] Molecular Docking Simulations in the Era of Network Pharmacology
- Author(s)
  Kun-Yi Hsin
- Organizer
  第42回構造活性相関シンポジウム (日本薬学会-構造活性相関部会)
- Place of Presentation
  Kumamoto, Japan
- Year and Date
  2014-11-13 – 2014-11-14
- Invited
- Data Source
  KAKENHI-PROJECT-26730152

1. AKIYAMA Yutaka

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. SEKIJIMA Masakazu

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Hsin Kun-Yi Hsin KunYi

HSIN KunYi シーン クンイー

Research Projects

Research Products

Co-Researchers

Development of an intelligent dynamic docking pipeline for improving molecular docking simulations.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] systemsDock: a web server for network pharmacology-based prediction and analysis.2016

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target2015

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Application of machine leaning approaches in drug target identification and network pharmacology.2015

Author(s)

Journal Title

DOI

Data Source

[Patent] Interaction prediction device, interaction prediction method, and computer program product2014

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Filing Date

Data Source

[Presentation] Development of predictive machine leaning system in target protein identification and network pharmacology.2016

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Application of machine leaning approaches in drug target identification and network pharmacology2015

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Discovery of anti-influenza agents and drug targets using pathway map (FluMap) and computational approaches2015

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Using machine learning systems and multiple docking simulations for network pharmacology making safer drugs

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Molecular Simulations for Network Pharmacology

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Combining machine learning systems and multiple docking simulations for network pharmacology

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] High-Throughput Virtual Molecular Docking

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

[Presentation] Molecular Docking Simulations in the Era of Network Pharmacology

Author(s)

Organizer

Place of Presentation

Year and Date

Data Source

HSIN KunYi シーンクンイー