Diversity measures for enhancing ADME admissibility of combinatorial libraries (Q30653742)

26 June 2017

title

Diversity measures for enhancing ADME admissibility of combinatorial libraries (English)

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26 June 2017

Darvas F

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26 June 2017

Dormán G

series ordinal

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26 June 2017

Papp A

series ordinal

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26 June 2017

publication date

1 March 2000

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Journal of Chemical Information and Computer Sciences

26 June 2017

published in

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Papers from the Fifth International Conference on Chemical Structures, Noordwijkerhout, The Netherlands, June 2

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https://pubs.acs.org/toc/jcics1/40/2

volume

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26 June 2017

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26 June 2017

page(s)

314-322

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A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases

26 June 2017

cites work

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1 October 2024

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Prediction of distribution coefficient from structure. 1. Estimation method.

1 October 2024

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Beyond mere diversity: tailoring combinatorial libraries for drug discovery

1 October 2024

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Neighborhood behavior: a useful concept for validation of "molecular diversity" descriptors

1 October 2024

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Integrating combinatorial chemistry into the discovery pipeline

1 October 2024

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Virtual Compound Libraries: A New Approach to Decision Making in Molecular Discovery Research

1 October 2024

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1 October 2024

Identifiers

DOI

10.1021/CI990268D

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journals/jcisd/DarvasDP00

26 June 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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