SVM approach for predicting LogP. (Q34572842)

3 August 2017

title

SVM approach for predicting LogP. (English)

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3 August 2017

main subject

partition coefficient

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support vector machine

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author name string

Quan Liao

series ordinal

1

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3 August 2017

Jianhua Yao

series ordinal

2

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3 August 2017

Shengang Yuan

series ordinal

3

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3 August 2017

publication date

1 August 2006

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3 August 2017

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3 August 2017

volume

10

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3 August 2017

issue

3

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3 August 2017

page(s)

301-309

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Prediction of protein retention times in anion-exchange chromatography systems using support vector regression.

3 August 2017

cites work

1 reference

12 December 2020

Analyses of the partition coefficient, log P, using ab initio MO parameter and accessible surface area of solute molecules

1 reference

12 December 2020

A universal molecular descriptor system for prediction of logP, logS, logBB, and absorption

1 reference

12 December 2020

Classification of the Carcinogenicity of N-Nitroso Compounds Based on Support Vector Machines and Linear Discriminant Analysis

1 reference

12 December 2020

Chance factors in studies of quantitative structure-activity relationships

1 reference

12 December 2020

A partition coefficient calculation method with the SFED model

1 reference

12 December 2020

Automatic log P estimation based on combined additive modeling methods.

1 reference

12 December 2020

Drug discovery using support vector machines. The case studies of drug-likeness, agrochemical-likeness, and enzyme inhibition predictions

1 reference

12 December 2020

Whole-molecule calculation of log p based on molar volume, hydrogen bonds, and simulated 13C NMR spectra

1 reference

12 December 2020

Chemical substructures in drug discovery

1 reference

12 December 2020

Generalized fragment-substructure based property prediction method.

1 reference

12 December 2020

Fragment generation and support vector machines for inducing SARs.

1 reference

12 December 2020

Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.

1 reference

12 December 2020

Fragmental approach in QSPR

1 reference

12 December 2020

Drug design by machine learning: support vector machines for pharmaceutical data analysis

1 reference

12 December 2020

CISOC-PSCT: a predictive system for carcinogenic toxicity

1 reference

12 December 2020

10.1007/S11030-006-9036-2

Identifiers

DOI

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release_5bnebgnu6naerm3arnuhuy43fu

3 August 2017

Fatcat ID

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Fatcat

https://api.fatcat.wiki/v0/release/5bnebgnu6naerm3arnuhuy43fu

24 November 2022

mapped directly with Wikidata item

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