(Q38826551)

6 September 2017

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title

Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework? (English)

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artificial neural network

6 September 2017

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author name string

Dimitar Dobchev

series ordinal

1

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6 September 2017

Mati Karelson

series ordinal

2

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6 September 2017

language of work or name

English

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publication date

5 May 2016

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Expert Opinion on Drug Discovery

6 September 2017

published in

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6 September 2017

volume

11

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6 September 2017

issue

7

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6 September 2017

page(s)

627-639

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Drug discovery: selecting the optimal approach

6 September 2017

cites work

1 reference

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Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks

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Discovery of 2-(2-benzoxazoyl amino)-4-aryl-5-cyanopyrimidine as negative allosteric modulators (NAMs) of metabotropic glutamate receptor 5 (mGlu₅): from an artificial neural network virtual screen to an in vivo tool compound

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Synthesis and bioassay of improved mosquito repellents predicted from chemical structure

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ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks

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Neural networks are useful tools for drug design

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5 May 2024

https://opencitations.net/index/api/v1/citations/10.1186/S13321-015-0094-2

Identifiers

DOI

10.1080/17460441.2016.1186876

1 reference

6 September 2017

1 reference