Predicting dual-targeting anti-influenza agents using multi-models.

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Design and one-pot synthesis of 2-thiazolylhydrazone derivatives as influenza neuraminidase inhibitors.Discovery of Influenza A virus neuraminidase inhibitors using support vector machine and Naïve Bayesian models.

P2860

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P2860

Predicting dual-targeting anti-influenza agents using multi-models.

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2014 nî lūn-bûn

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2014年の論文

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2014年论文

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name

Predicting dual-targeting anti-influenza agents using multi-models.

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type

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label

Predicting dual-targeting anti-influenza agents using multi-models.

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prefLabel

Predicting dual-targeting anti-influenza agents using multi-models.

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P1476

Predicting dual-targeting anti-influenza agents using multi-models

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P2093

Hu Ge

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Jun Xu

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

Mengyan Xu

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

Yali Li

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

Yingyan He

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

Yu Wang

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

Yufang Xie

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P2860

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Multi-target drugs: the trend of drug research and development

Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes

Automatic atom type and bond type perception in molecular mechanical calculations

P2888

s11030-014-9552-4

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123-134

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scholarly article

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10.1007/S11030-014-9552-4

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Qiong Gu

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2014-10-02T00:00:00Z

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266566234

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Predicting dual-targeting anti-influenza agents using multi-models.

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P2860

P2860

Predicting dual-targeting anti-influenza agents using multi-models.

description

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type

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P1433

P1476

P2093

P2860

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P5875

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P356

P433

P478

P50

P577

P5875

P698