scholarly journals PENDEKATAN IN SILICO DALAM MENYINGKAP POTENSI ANTIKANKER MECIADANOL

2021 ◽  
Vol 6 (2) ◽  
pp. 163
Author(s):  
Arif Fadlan ◽  
Tri Warsito ◽  
Sarmoko Sarmoko
Keyword(s):  
Protein Kinase ◽  
In Silico ◽  
Autodock Vina ◽  
Death Associated Protein Kinase

Meciadanol merupakan flavanol katekin termetilasi pada posisi C3 yang mampu menghambat pembentukan histamin oleh histidin dekarboksilase. Senyawa ini merupakan target menarik dalam pengembangan agen antikanker karena histamin diketahui terlibat dalam perkembangan kanker. Histamin juga dilaporkan dapat berkaitan dengan death associated protein kinase 1 (DAPK1) yang berhubungan dengan apoptosis. Penelitian ini mempelajari potensi aktivitas antikanker meciadanol terhadap DAPK1 secara in silico. Penambatan molekul terhadap protein DAPK1 (kode 5AUX dan 5AV3) dilakukan dengan Autodock Vina yang dilanjutkan dengan evaluasi sifat fisikokimia dan profil ADMET menggunakan SwissADME dan pkCSM. Nilai afinitas ikatan meciadanol terhadap 5AUX dan 5AV3 masing-masing sebesar -7,4 kkal/mol dan -7,0 kkal/mol. Meciadanol selanjutnya tidak melanggar aturan Lipinski, Ghose, Veber, Egan dan Muegge, dan memiliki profil ADMET yang baik berdasarkan deskriptor evaluasi.

scholarly journals Synthesis of new thiazolo[3,2-a]pyrimidine derivatives and in silico analysis of their bioactivity

2021 ◽  
Vol 57 (4) ◽  
pp. 456-462
Author(s):  
I. V. Mineeva ◽  
Y. V. Faletrov ◽  
V. A. Starovoytova ◽  
V. M. Shkumatov
Keyword(s):  
Protein Kinase ◽  
Protein Kinases ◽  
Lipid Bilayer ◽  
In Silico ◽  
Cytochromes P450 ◽  
In Silico Analysis ◽  
Autodock Vina ◽  
Pyrimidine Derivatives ◽  
Silico Analysis

An effective method of synthesis thiazolo[3,2-a]pyrimidine derivatives was developed and the compounds with n-pentyl or β-acetoxycyclopropyl as well as fluorescent benzo[f]coumarin substituents were obtained with yields 60 % and more. Using computational (in silico) approaches we demonstrated the ability of the obtained compounds to permeate lipid bilayer as well as their affinity to some protein kinases (compounds 4 and 6 bind with a protein kinase AKT1 with PDB code 3о96; Autodock Vina-computed energy of binding (Ebind) values were -10.9 and -10.6 kcal/mol, respectively), acethylcholine esterase and some human cytochromes P450 (for P450 3A4, pdb 5vcd, Ebind -12.3 kcal/mol).

Silencing of a death associated protein kinase as a pro-survival factor in colon cancer cells

Endoscopy ◽  
2005 ◽  
Vol 37 (05) ◽  
Author(s):  
GA Doherty ◽  
SM Byrne ◽  
SC Austin ◽  
GM Scully ◽  
EW Kay ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Protein Kinase ◽  
Cancer Cells ◽  
Colon Cancer Cells ◽  
Survival Factor ◽  
Death Associated Protein Kinase

scholarly journals Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1257
Author(s):  
Fareena Shahid ◽  
Noreen ◽  
Roshan Ali ◽  
Syed Lal Badshah ◽  
Syed Babar Jamal ◽  
...  
Keyword(s):  
Hepatitis C ◽  
In Silico ◽  
Experimental Validation ◽  
Homology Modelling ◽  
Viral Envelope ◽  
Screening Methods ◽  
Binding Affinities ◽  
Autodock Vina ◽  
Potential Inhibitors ◽  
Very High

Hepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process is an efficient method in identifying inhibitors for various diseases. In our study, the interaction between Epigallocatechin-3-gallate, a component of green tea, and envelope glycoprotein E2 of HCV is evaluated. Epigallocatechin-3-gallate is the most promising polyphenol approved through cell culture analysis that can inhibit the entry of HCV. Therefore, various in silico techniques have been employed to find out other potential inhibitors that can behave as EGCG. Thus, the homology modelling of E2 protein was performed. The potential lead molecules were predicted using ligand-based as well as structure-based virtual screening methods. The compounds obtained were then screened through PyRx. The drugs obtained were ranked based on their binding affinities. Furthermore, the docking of the topmost drugs was performed by AutoDock Vina, while its 2D interactions were plotted in LigPlot+. The lead compound mms02387687 (2-[[5-[(4-ethylphenoxy) methyl]-4-prop-2-enyl-1,2,4-triazol-3-yl] sulfanyl]-N-[3(trifluoromethyl) phenyl] acetamide) was ranked on top, and we believe it can serve as a drug against HCV in the future, owing to experimental validation.

In silico profiling and structural insights of missense mutations in RET protein kinase domain by molecular dynamics and docking approach

2014 ◽  
Vol 10 (3) ◽  
pp. 421-436 ◽  
Author(s):  
C. George Priya Doss ◽  
B. Rajith ◽  
Chiranjib Chakraboty ◽  
V. Balaji ◽  
R. Magesh ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Protein Kinase ◽  
In Silico ◽  
Kinase Domain ◽  
Missense Mutations ◽  
Protein Kinase Domain ◽  
Docking Approach ◽  
Structural Insights

Suppression of death-associated protein kinase 2 by interaction with 14-3-3 proteins

2015 ◽  
Vol 464 (1) ◽  
pp. 70-75 ◽  
Author(s):  
Keizo Yuasa ◽  
Reina Ota ◽  
Shinya Matsuda ◽  
Kinuka Isshiki ◽  
Masahiro Inoue ◽  
...  
Keyword(s):  
Protein Kinase ◽  
Death Associated Protein Kinase
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