Optimization of chemical libraries by neural networks (Q30873356)

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title

Optimization of chemical libraries by neural networks (English)

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artificial neural network

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main subject

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Sadowski J

1

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27 June 2017

publication date

1 June 2000

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Current Opinion in Chemical Biology

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published in

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volume

4

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issue

3

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page(s)

280-282

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describes a project that uses

27 June 2017

artificial neural network

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Robust QSAR models using Bayesian regularized neural networks.

inferred from title

cites work

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https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Molecular Diversity and Representativity in Chemical Databases

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Identification of biological activity profiles using substructural analysis and genetic algorithms.

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Can we learn to distinguish between "drug-like" and "nondrug-like" molecules?

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

A scoring scheme for discriminating between drugs and nondrugs.

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Toward designing drug-like libraries: a novel computational approach for prediction of drug feasibility of compounds

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Recognizing molecules with drug-like properties

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Combining in vitro and in vivo pharmacokinetic data for prediction of hepatic drug clearance in humans by artificial neural networks and multivariate statistical techniques

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network.

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

Designing libraries with CNS activity

1 reference

https://api.crossref.org/works/10.1016%2FS1367-5931%2800%2900089-2

7 January 2021

10.1016/S1367-5931(00)00089-2

Identifiers

DOI

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27 June 2017

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