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

Madhulata Kumari; Subhash Chandra

doi:10.1504/ijcbdd.2017.10003751

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, 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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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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A Computational Study of Anticancer Activity of Curcumin Derivatives Using in silico Drug Designing and Molecular Docking Tools

Asian Journal of Chemistry ◽

10.14233/ajchem.2018.21239 ◽

2018 ◽

Vol 30 (6) ◽

pp. 1335-1339

Author(s):

S. Shefrin ◽

Asha Asokan Manakadan ◽

T.S. Saranya

Keyword(s):

Molecular Docking ◽

Anticancer Activity ◽

In Silico ◽

Computational Study ◽

Curcumin Derivatives ◽

Drug Designing

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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 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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In Silico Prediction of Estrogen Receptor Subtype Binding Affinity and Selectivity Using Statistical Methods and Molecular Docking with 2-Arylnaphthalenes and 2-Arylquinolines

International Journal of Molecular Sciences ◽

10.3390/ijms11093434 ◽

2010 ◽

Vol 11 (9) ◽

pp. 3434-3458 ◽

Cited By ~ 23

Author(s):

Zhizhong Wang ◽

Yan Li ◽

Chunzhi Ai ◽

Yonghua Wang

Keyword(s):

Estrogen Receptor ◽

Molecular Docking ◽

Binding Affinity ◽

Statistical Methods ◽

In Silico ◽

Receptor Subtype ◽

In Silico Prediction

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Molecular Docking, Molecular Dynamics, and In Silico Prediction of the Toxic Potential of Primaquine Thiazolidinone Derivatives

Letters in Drug Design & Discovery ◽

10.2174/1570180813666160804170730 ◽

2017 ◽

Vol 14 (3) ◽

pp. 345-353

Author(s):

Erika Murce ◽

Andre Pimentel

Keyword(s):

Molecular Dynamics ◽

Molecular Docking ◽

In Silico ◽

In Silico Prediction ◽

Toxic Potential

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