Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening (Q33323614)

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English	Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening	scientific article

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scholarly article

1 reference

Europe PubMed Central

25 July 2017

Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening (English)

1 reference

Europe PubMed Central

25 July 2017

virtual screening

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based on heuristic

inferred from title

Alexander Tropsha

5

object named as

Alexander Tropsha

1 reference

Europe PubMed Central

25 July 2017

Alexander Golbraikh

4

object named as

Alexander Golbraikh

1 reference

Europe PubMed Central

25 July 2017

author name string

Jui-Hua Hsieh

1

1 reference

Europe PubMed Central

25 July 2017

Xiang S Wang

2

1 reference

Europe PubMed Central

25 July 2017

Denise Teotico

3

1 reference

Europe PubMed Central

25 July 2017

publication date

13 March 2008

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Europe PubMed Central

25 July 2017

Journal of Computer - Aided Molecular Design

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Europe PubMed Central

25 July 2017

22

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Europe PubMed Central

25 July 2017

9

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Europe PubMed Central

25 July 2017

593-609

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Europe PubMed Central

25 July 2017

https://scigraph.springernature.com/pub.10.1007/s10822-008-9199-2

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Consensus scoring criteria for improving enrichment in virtual screening

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SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

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11 September 2021

Identifiers

10.1007/S10822-008-9199-2

1 reference

Europe PubMed Central

25 July 2017

DBLP publication ID

journals/jcamd/HsiehWTGT08

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

Europe PubMed Central

25 July 2017

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