(Q52925553)

English

Predicting lipophilicity of drug-discovery molecules using Gaussian process models.

scientific article published in September 2007

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scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Predicting lipophilicity of drug-discovery molecules using Gaussian process models. (English)

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Gaussian process

1 reference

based on heuristic

inferred from title

1 reference

based on heuristic

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Klaus-Robert Müller

8

object named as

Klaus-Robert Müller

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

author name string

Timon S Schroeter

1

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Anton Schwaighofer

2

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Sebastian Mika

3

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Antonius Ter Laak

4

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Detlev Suelzle

5

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Ursula Ganzer

6

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

Nikolaus Heinrich

7

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

publication date

1 September 2007

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

2

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

9

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

1265-1267

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

logD7.4 modeling using Bayesian Regularized Neural Networks. Assessment and correction of the errors of prediction

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Accurate solubility prediction with error bars for electrolytes: a machine learning approach.

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

An introduction to kernel-based learning algorithms.

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Classifying 'drug-likeness' with kernel-based learning methods.

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Quantitative structure-activity relationship studies using Gaussian processes

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Gaussian process: an efficient technique to solve quantitative structure-property relationship problems

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Nonlinear prediction of quantitative structure-activity relationships.

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Handbook of Molecular Descriptors

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Search for predictive generic model of aqueous solubility using Bayesian neural nets.

1 reference

https://api.crossref.org/works/10.1002%2FCMDC.200700041

7 January 2021

based on heuristic

inferred from DOI database lookup

Identifiers

10.1002/CMDC.200700041

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

release_js64xgj57jaylbjytpvattk7ke

1 reference

https://api.fatcat.wiki/v0/release/js64xgj57jaylbjytpvattk7ke

24 November 2022

based on heuristic

mapped directly with Wikidata item

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

9 May 2018

http://europepmc.org/abstract/MED/17576646

ResearchGate publication ID

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