Support Vector Machine (SVM) Models for Predicting Inhibitors of the 3 ' Processing Step of HIV-1 Integrase

Shouyi Xuan; Maolin Wang; Hang Kang; Johannes Kirchmair; Lu Tan; Aixia Yan

doi:10.1002/minf.201300107

Support Vector Machine (SVM) Models for Predicting Inhibitors of the 3 ' Processing Step of HIV-1 Integrase

Shouyi Xuan, Maolin Wang, Hang Kang, Johannes Kirchmair, Lu Tan, Aixia Yan

Publications: Contribution to journal › Article › Peer Reviewed

Original language	English
Pages (from-to)	811-826
Journal	Molecular Informatics
Volume	32
Issue number	9-10
DOIs	https://doi.org/10.1002/minf.201300107
Publication status	Published - 2013
Externally published	Yes

Austrian Fields of Science 2012

301207 Pharmaceutical chemistry
106005 Bioinformatics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/minf.201300107

Cite this

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title = "Support Vector Machine (SVM) Models for Predicting Inhibitors of the 3 ' Processing Step of HIV-1 Integrase",

author = "Shouyi Xuan and Maolin Wang and Hang Kang and Johannes Kirchmair and Lu Tan and Aixia Yan",

year = "2013",

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AU - Kirchmair, Johannes

AU - Tan, Lu

AU - Yan, Aixia

PY - 2013

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JF - Molecular Informatics

IS - 9-10

ER -

Support Vector Machine (SVM) Models for Predicting Inhibitors of the 3 ' Processing Step of HIV-1 Integrase

Austrian Fields of Science 2012

UN SDGs

Access to Document

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