Volume 17 Supplement 6

Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics: bioinformatics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Melbourne, Australia23 October 2015

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Edited by Min Song, Doheon Lee and Karin M. Verspoor.

Related articles have been published in a supplement to BMC Medical Informatics and Decision Making.

Prediction of compound-target interactions of natural products using large-scale drug and protein information

Verifying the proteins that are targeted by compounds of natural herbs will be helpful to select natural herb-based drug candidates. However, this entails a great deal of effort to clarify the interaction thro...

Authors: Jongsoo Keum, Sunyong Yoo, Doheon Lee and Hojung Nam

Citation: BMC Bioinformatics 2016 17(Suppl 6):219

Content type: Research Published on: 28 July 2016
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Context-specific functional module based drug efficacy prediction

It is necessary to evaluate the efficacy of individual drugs on patients to realize personalized medicine. Testing drugs on patients in clinical trial is the only way to evaluate the efficacy of drugs. The app...

Authors: Woochang Hwang, Jaejoon Choi, Mijin Kwon and Doheon Lee

Citation: BMC Bioinformatics 2016 17(Suppl 6):275

Content type: Research Published on: 28 July 2016
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Prediction of scaffold proteins based on protein interaction and domain architectures

Scaffold proteins are known for being crucial regulators of various cellular functions by assembling multiple proteins involved in signaling and metabolic pathways. Identification of scaffold proteins and the ...

Authors: Kimin Oh and Gwan-Su Yi

Citation: BMC Bioinformatics 2016 17(Suppl 6):220

Content type: Research Published on: 28 July 2016
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Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics: bioinformatics

Research

Prediction of compound-target interactions of natural products using large-scale drug and protein information

Context-specific functional module based drug efficacy prediction

Prediction of scaffold proteins based on protein interaction and domain architectures

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