ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability.

about

Predicting selective liver X receptor β agonists using multiple machine learning methods.A de novo substructure generation algorithm for identifying the privileged chemical fragments of liver X receptorβ agonists.PTS: a pharmaceutical target seeker.

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P2860

ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability.

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2014 nî lūn-bûn

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2014年の論文

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2014年学术文章

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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ChemStable: a web server for r ...... to predict compound stability.

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P2093

Jiabo Li

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Johan Tijhuis

http://www.w3.org/2001/XMLSchema#string

Johann Gasteiger

http://www.w3.org/2001/XMLSchema#string

Jun Xu

http://www.w3.org/2001/XMLSchema#string

Minghao Zheng

http://www.w3.org/2001/XMLSchema#string

Peter Maas

http://www.w3.org/2001/XMLSchema#string

Xin Yan

http://www.w3.org/2001/XMLSchema#string

P2860

DrugBank 3.0: a comprehensive resource for 'omics' research on drugs

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

Modeling the Biodegradability of Chemical Compounds Using the Online CHEmical Modeling Environment (OCHEM)

QSAR models for P-glycoprotein transport based on a highly consistent data set.

Studies of the relative stability of TFA adducts vs non-TFA analogues for combinatorial chemistry library members in DMSO in a repository compound collection.

A new approach to finding natural chemical structure classes.

Large-scale annotation of small-molecule libraries using public databases.

Stability of screening compounds in wet DMSO.

Global Bayesian models for the prioritization of antitubercular agents.

COMDECOM: predicting the lifetime of screening compounds in DMSO solution.

P2888

s10822-014-9778-3

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941-950

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scholarly article

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10.1007/S10822-014-9778-3

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Qiong Gu

Zhihong Liu

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2014-07-17T00:00:00Z

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264010435

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ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability.

about

P2860

P2860

ChemStable: a web server for rule-embedded naïve Bayesian learning approach to predict compound stability.

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