Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study (Q33966485)

30 July 2017

title

Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study (English)

1 reference

30 July 2017

1 reference

Qi Liu

1

1 reference

30 July 2017

Han Zhou

2

1 reference

30 July 2017

Lin Liu

3

1 reference

30 July 2017

Xi Chen

4

1 reference

30 July 2017

Ruixin Zhu

5

1 reference

30 July 2017

Zhiwei Cao

6

1 reference

30 July 2017

publication date

20 July 2011

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30 July 2017

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30 July 2017

volume

12

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30 July 2017

page(s)

294

1 reference

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study

30 July 2017

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5 July 2018

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5 July 2018

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5 July 2018

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Potent inhibitors of subgenomic hepatitis C virus RNA replication through optimization of indole-N-acetamide allosteric inhibitors of the viral NS5B polymerase

5 July 2018

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5 July 2018

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HIV and hepatitis C virus co-infection

5 July 2018

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Anti-HIV activity of HEPT, TIBO, and cyclic urea derivatives: structure-property studies, focused combinatorial library generation, and hits selection using substructural molecular fragments method.

5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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Present Status and Future Prospects for HIV Therapies

5 July 2018

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Treating chemical diversity in QSAR analysis: modeling diverse HIV-1 integrase inhibitors using 4D fingerprints.

5 July 2018

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3D QSAR and molecular docking studies of benzimidazole derivatives as hepatitis C virus NS5B polymerase inhibitors

21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Medicinal chemistry and the molecular operating environment (MOE): application of QSAR and molecular docking to drug discovery

21 January 2018

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21 January 2018

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The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models

21 January 2018

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Evaluation of the substrate envelope hypothesis for inhibitors of HIV-1 protease

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21774796

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

The importance of the domain of applicability in QSAR modeling

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21774796

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1186/1471-2105-12-294

1 reference

journals/bmcbi/LiuZLCZC11

30 July 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1037539082

0 references

Fatcat ID

release_2ove7kbgc5ccnjxf6rstfj3ydy

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/2ove7kbgc5ccnjxf6rstfj3ydy

mapped directly with Wikidata item

24 November 2022

based on heuristic

PMC publication ID

3167801

1 reference

30 July 2017

1 reference