Support vector machines for drug discovery (Q38168576)

30 August 2017

title

Support vector machines for drug discovery (English)

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30 August 2017

main subject

support vector machine

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2

Jürgen Bajorath

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30 August 2017

1

Kathrin Heikamp

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30 August 2017

language of work or name

English

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publication date

5 December 2013

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Expert Opinion on Drug Discovery

30 August 2017

published in

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30 August 2017

volume

9

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30 August 2017

issue

1

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30 August 2017

page(s)

93-104

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Drug design by machine learning: support vector machines for pharmaceutical data analysis

30 August 2017

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Kernel-based data fusion improves the drug-protein interaction prediction

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21 January 2018

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Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.

21 January 2018

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21 January 2018

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Combined SVM-based and docking-based virtual screening for retrieving novel inhibitors of c-Met

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Discovery of novel Pim-1 kinase inhibitors by a hierarchical multistage virtual screening approach based on SVM model, pharmacophore, and molecular docking

21 January 2018

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21 January 2018

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A Tutorial on Support Vector Machines for Pattern Recognition

21 January 2018

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On Graph Kernels: Hardness Results and Efficient Alternatives

21 January 2018

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10.1517/17460441.2014.866943

21 January 2018

Identifiers

DOI

1 reference

30 August 2017

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