Molecular docking studies on InhA, MabA and PanK enzymes from Mycobacterium tuberculosis of ellagic acid derivatives from Ludwigia adscendens and Trewia nudiflora

Molecular Docking ◽

Ellagic Acid ◽

Docking Studies ◽

Trewia Nudiflora ◽

Ellagic Acid Derivatives ◽

Ludwigia Adscendens

Synthesis, Pharmacokinetic and Molecular Docking Studies of New Benzohydrazide Derivatives Possessing Anti-tubercular Activity against Mycobacterium tuberculosis H37Rv

Journal of Molecular Structure ◽

10.1016/j.molstruc.2021.131884 ◽

2021 ◽

pp. 131884

Author(s):

Nilam H. Lalavani ◽

Himani R. Gandhi ◽

Krishna A. Bhensdadia ◽

Rajesh K. Patel ◽

Shipra H. Baluja

Keyword(s):

Molecular Docking ◽

Docking Studies ◽

Tuberculosis H37rv ◽

Mycobacterium Tuberculosis H37rv

Biochemical evaluation and molecular docking studies on encapsulated astaxanthin for the growth inhibition of Mycobacterium tuberculosis

Journal of Applied Biology & Biotechnology ◽

10.7324/jabb.2021.95.1s6 ◽

2021 ◽

Vol 9 ◽

pp. 31-39

Keyword(s):

Molecular Docking ◽

Growth Inhibition ◽

Docking Studies ◽

Biochemical Evaluation

Molecular docking studies of geraniin, corilagin, and ellagic acid from rambutan (Nephelium lappaceum L.) peel extract against squalene synthase as potential anti hypercholesterolemia

10.1063/5.0002534 ◽

2020 ◽

Author(s):

Lusi Suciati ◽

Sri Rahayu Lestari ◽

Betty Lukiati

Keyword(s):

Molecular Docking ◽

Ellagic Acid ◽

Docking Studies ◽

Squalene Synthase ◽

Nephelium Lappaceum ◽

Peel Extract

Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis

International Journal of Computational Biology and Drug Design ◽

10.1504/ijcbdd.2018.10015802 ◽

2018 ◽

Vol 11 (3) ◽

pp. 209

Author(s):

Naidu Subbarao ◽

Subhash Chandra ◽

Neeraj Tiwari ◽

Madhulata Kumari

Keyword(s):

Machine Learning ◽

Molecular Docking ◽

Comparative Analysis ◽

Docking Studies ◽

Qsar Models

Molecular Docking Studies of N-5-Aryl-1, 3, 4-oxadiazolo-2, 2-dichloroacetamidines as Inhibitors of Enoyl-ACP Reductase Mycobacterium tuberculosis

Research Journal of Pharmacy and Technology ◽

10.5958/0974-360x.2017.00198.6 ◽

2017 ◽

Vol 10 (4) ◽

pp. 1091

Author(s):

Pavlo V. Zadorozhnii ◽

Vadym V. Kiselev ◽

Anastasia E. Titova ◽

Aleksandr V. Kharchenko ◽

Ihor O. Pokotylo ◽

...

Keyword(s):

Molecular Docking ◽

Docking Studies ◽

Enoyl Acp Reductase

3D-QSAR and Molecular Docking Studies of Pyrazole Derivatives as Inhibitors of Enoyl Acyl Carrier Protein Reductase from Mycobacterium tuberculosis

Letters in Drug Design & Discovery ◽

10.2174/1570180814666161107155459 ◽

2017 ◽

Vol 14 (4) ◽

pp. 414-433

Author(s):

Sheshagiri Dixit ◽

Shrinivas Joshi ◽

V. Kulkarni ◽

Tejraj Aminabhavi

Keyword(s):

Molecular Docking ◽

Acyl Carrier Protein ◽

3D Qsar ◽

Docking Studies ◽

Carrier Protein ◽

Pyrazole Derivatives ◽

Molecular Docking Studies

Synthesis of new verapamil analogues and their evaluation in combination with rifampicin against Mycobacterium tuberculosis and molecular docking studies in the binding site of efflux protein Rv1258c

Bioorganic & Medicinal Chemistry Letters ◽

10.1016/j.bmcl.2014.05.022 ◽

2014 ◽

Vol 24 (14) ◽

pp. 2985-2990 ◽

Cited By ~ 21

Author(s):

Kawaljit Singh ◽

Malkeet Kumar ◽

Elumalai Pavadai ◽

Krupa Naran ◽

Digby F. Warner ◽

...

Keyword(s):

Molecular Docking ◽

Binding Site ◽

Docking Studies ◽

Molecular Docking Studies

Design, synthesis and molecular docking studies of quinazolin-4-ones linked to 1,2,3-triazol hybrids as Mycobacterium tuberculosis H37Rv inhibitors besides antimicrobial activity

Medicinal Chemistry Research ◽

10.1007/s00044-019-02313-9 ◽

2019 ◽

Vol 28 (4) ◽

pp. 559-570

Author(s):

Narendra Kumar Maddali ◽

I. V. Kasi Viswanath* ◽

Y. L. N. Murthy* ◽

Rabin Bera ◽

Mohamed Takhi ◽

...

Keyword(s):

Antimicrobial Activity ◽

Molecular Docking ◽

Docking Studies ◽

Tuberculosis H37rv ◽

Design Synthesis ◽

Mycobacterium Tuberculosis H37rv

Comparative analysis of machine learning based QSAR models and molecular docking studies to screen potential anti-tubercular inhibitors against InhA of mycobacterium tuberculosis

International Journal of Computational Biology and Drug Design ◽

10.1504/ijcbdd.2018.094630 ◽

2018 ◽

Vol 11 (3) ◽

pp. 209 ◽

Cited By ~ 1

Author(s):

Madhulata Kumari ◽

Neeraj Tiwari ◽

Subhash Chandra ◽

Naidu Subbarao

Keyword(s):

Machine Learning ◽

Molecular Docking ◽

Comparative Analysis ◽

Docking Studies ◽

Qsar Models

ChemInform Abstract: Synthesis of New Verapamil Analogues and Their Evaluation in Combination with Rifampicin Against Mycobacterium tuberculosis and Molecular Docking Studies in the Binding Site of Efflux Protein Rv1258c

ChemInform ◽

10.1002/chin.201439284 ◽

2014 ◽

Vol 45 (39) ◽

pp. no-no

Author(s):

Kawaljit Singh ◽

Malkeet Kumar ◽

Elumalai Pavadai ◽

Krupa Naran ◽

Digby F. Warner ◽

...

Keyword(s):

Molecular Docking ◽

Binding Site ◽

Docking Studies ◽

Molecular Docking Studies