A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine.

about

A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine.

Item

http://www.wikidata.org/entity/Q40187796

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

A QSAR classification model fo ...... alized support vector machine.

@en

type

Item

label

A QSAR classification model fo ...... alized support vector machine.

@en

prefLabel

A QSAR classification model fo ...... alized support vector machine.

@en

P1476

A QSAR classification model fo ...... alized support vector machine.

@en

P2093

H T M Ali

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

M K Qasim

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

Z Y Algamal

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

P2860

Best Practices for QSAR Model Development, Validation, and Exploitation

QSAR DataBank - an approach for the digital organization and archiving of QSAR model information

Antiviral potential and molecular insight into neuraminidase inhibiting diarylheptanoids from Alpinia katsumadai.

QSAR model based on weighted MCS trees approach for the representation of molecule data sets.

penalizedSVM: a R-package for feature selection SVM classification.

Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data.

Influenza neuraminidase inhibitors possessing a novel hydrophobic interaction in the enzyme active site: design, synthesis, and structural analysis of carbocyclic sialic acid analogues with potent anti-influenza activity.

2D and 3D quantitative structure-activity relationship study of hepatitis C virus NS5B polymerase inhibitors by comparative molecular field analysis and comparative molecular similarity indices analysis methods.

Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree.

High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.

P304

415-426

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

P31

scholarly article

P356

10.1080/1062936X.2017.1326402

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

P433

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

P478

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

P577

2017-05-25T00:00:00Z

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

P698

28539063

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

P921

support vector machine

vector-borne disease