Pharmacophore feature prediction and molecular docking approach to identify novel anti-HCV protease inhibitors.

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Pharmacophore feature prediction and molecular docking approach to identify novel anti-HCV protease inhibitors.

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2017 nî lūn-bûn

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2017年学术文章

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2017年学术文章

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Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

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Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

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label

Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

@en

Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

@nl

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Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

@en

Pharmacophore feature predicti ...... anti-HCV protease inhibitors.

@nl

P1476

Pharmacophore feature predicti ...... l anti-HCV protease inhibitors

@en

P2093

Majji Rambabu

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

Sivaraman Jayanthi

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P2860

BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities

GenBank

A macrocyclic HCV NS3/4A protease inhibitor interacts with protease and helicase residues in the complex with its full-length target

PubChem Substance and Compound databases

Cheminformatics-based drug design approach for identification of inhibitors targeting the characteristic residues of MMP-13 hemopexin domain

Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes

Structural analysis of asunaprevir resistance in HCV NS3/4A protease

PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

Drugs in development for hepatitis C.

3D-QSAR in drug design--a review.

P304

960-966

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P31

scholarly article

P356

10.1002/JCB.26262

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P433

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

P478

119

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P50

Arthi Venkatesan

J Febin Prabhu Dass

P577

2017-08-18T00:00:00Z

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P698

28691304

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