New insight into the In-Silico prediction and molecular docking of Giardia intestinalis protease resistance to nitroimidazole

Dashwa Langbang

doi:10.17485/ijst/v13i43.100

New insight into the In-Silico prediction and molecular docking of Giardia intestinalis protease resistance to nitroimidazole

Indian Journal of Science and Technology ◽

10.17485/ijst/v13i43.100 ◽

2020 ◽

Vol 13 (43) ◽

pp. 4434-4445

Author(s):

Dashwa Langbang

Keyword(s):

Molecular Docking ◽

In Silico ◽

Giardia Intestinalis ◽

In Silico Prediction ◽

Protease Resistance ◽

Insight Into

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In silico prediction, molecular docking and binding studies of acetaminophen and dexamethasone to Enterococcus faecalis diaminopimelate epimerase

Journal of Molecular Recognition ◽

10.1002/jmr.2894 ◽

2021 ◽

Author(s):

Harpreet Singh ◽

Satyajeet Das ◽

Jyoti Yadav ◽

Vijay Kumar Srivastava ◽

Anupam Jyoti ◽

...

Keyword(s):

Molecular Docking ◽

Enterococcus Faecalis ◽

In Silico ◽

In Silico Prediction ◽

Binding Studies

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In silico prediction of deleterious single nucleotide polymorphism in human AKR1C3 gene and identification of potent inhibitors using molecular docking approach

Journal of King Saud University - Science ◽

10.1016/j.jksus.2021.101514 ◽

2021 ◽

pp. 101514

Author(s):

Saleh Abdullah Aloyuni

Keyword(s):

Single Nucleotide Polymorphism ◽

Molecular Docking ◽

In Silico ◽

In Silico Prediction ◽

Nucleotide Polymorphism ◽

Single Nucleotide ◽

Docking Approach

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New Insights into the In Silico Prediction of HIV Protease Resistance to Nelfinavir

PLoS ONE ◽

10.1371/journal.pone.0087520 ◽

2014 ◽

Vol 9 (1) ◽

pp. e87520 ◽

Cited By ~ 15

Author(s):

Dinler A. Antunes ◽

Maurício M. Rigo ◽

Marialva Sinigaglia ◽

Rúbia M. de Medeiros ◽

Dennis M. Junqueira ◽

...

Keyword(s):

In Silico ◽

Hiv Protease ◽

In Silico Prediction ◽

Protease Resistance

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Computational insight into flavonoid-based compound for inhibition activity on SAH-binding site of dengue virus NS5 methyltransferase: Molecular docking and in silico ADME-Tox studies

10.1063/1.5064060 ◽

2018 ◽

Author(s):

S. Siregar ◽

A. Marnolia ◽

M. A. F. Nasution ◽

D. Kerami ◽

U. S. F. Tambunan

Keyword(s):

Molecular Docking ◽

Dengue Virus ◽

Binding Site ◽

In Silico ◽

Inhibition Activity ◽

Insight Into

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In silico prediction, characterization and molecular docking studies on Glutathione-S-transferase as a molecular sieve for toxic agrochemicals explored in survey of North Indian farmers

Heliyon ◽

10.1016/j.heliyon.2021.e07875 ◽

2021 ◽

Vol 7 (9) ◽

pp. e07875

Author(s):

Aggarwal Ritika ◽

Gera Ritika ◽

Jain Nikita ◽

Kaur Bableen ◽

Murali Arunima ◽

...

Keyword(s):

Molecular Docking ◽

In Silico ◽

Molecular Sieve ◽

Docking Studies ◽

In Silico Prediction ◽

Glutathione S Transferase ◽

Molecular Docking Studies

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Thrombin inhibitory peptides derived from Mytilus edulis proteins: identification, molecular docking and in silico prediction of toxicity

European Food Research and Technology ◽

10.1007/s00217-017-2946-7 ◽

2017 ◽

Vol 244 (2) ◽

pp. 207-217 ◽

Cited By ~ 15

Author(s):

Liting Feng ◽

Maolin Tu ◽

Meiling Qiao ◽

Fengjiao Fan ◽

Hui Chen ◽

...

Keyword(s):

Molecular Docking ◽

Mytilus Edulis ◽

In Silico ◽

In Silico Prediction ◽

Inhibitory Peptides

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In silico prediction and evaluation of interaction between protein arginine N-methyltransferase 5 cancer target and curcumin derivatives by molecular docking and simulation

International Journal of Computational Biology and Drug Design ◽

10.1504/ijcbdd.2017.10003751 ◽

2017 ◽

Vol 10 (1) ◽

pp. 79

Author(s):

Madhulata Kumari ◽

Subhash Chandra

Keyword(s):

Molecular Docking ◽

In Silico ◽

In Silico Prediction ◽

Curcumin Derivatives

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In silico prediction and evaluation of interaction between protein arginine N-methyltransferase 5 cancer target and curcumin derivatives by molecular docking and simulation

International Journal of Computational Biology and Drug Design ◽

10.1504/ijcbdd.2017.082818 ◽

2017 ◽

Vol 10 (1) ◽

pp. 79

Author(s):

Madhulata Kumari ◽

Subhash Chandra

Keyword(s):

Molecular Docking ◽

In Silico ◽

In Silico Prediction ◽

Curcumin Derivatives

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In silico prediction of estrogen receptor subtype binding affinity and selectivity using 3D-QSAR and molecular docking

Medicinal Chemistry Research ◽

10.1007/s00044-019-02428-z ◽

2019 ◽

Vol 28 (11) ◽

pp. 1974-1994

Author(s):

Wenliang Jiang ◽

Qinghua Chen ◽

Bo Zhou ◽

Fangfang Wang

Keyword(s):

Estrogen Receptor ◽

Molecular Docking ◽

Binding Affinity ◽

In Silico ◽

3D Qsar ◽

Receptor Subtype ◽

In Silico Prediction

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A combined experimental and DFT computations study of novel (E)-3-(benzofuran-2-yl)-2-(thiophen-2-yl)acrylonitrile(TACNBNF): Insight into the synthesis, single crystal XRD, NMR, vibrational spectral analysis, in vitro antioxidant and in silico molecular docking investigation with human peroxiredoxin 5 protein

Journal of Molecular Structure ◽

10.1016/j.molstruc.2019.127241 ◽

2020 ◽

Vol 1202 ◽

pp. 127241 ◽

Cited By ~ 1

Author(s):

J. Irshad Ahamed ◽

M. Priya ◽

P. Vinothkumar ◽

K. Sathyamoorthy ◽

P. MuraliManohar ◽

...

Keyword(s):

Spectral Analysis ◽

Molecular Docking ◽

Single Crystal ◽

In Silico ◽

Single Crystal Xrd ◽

Dft Computations ◽

In Silico Molecular Docking ◽

Insight Into

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