scholarly journals In silico QSAR and molecular docking simulation of some novel aryl sulfonamide derivatives as inhibitors of H5N1 influenza A virus subtype

Author(s):  
Mustapha Abdullahi ◽  
Gideon Adamu Shallangwa ◽  
Adamu Uzairu
2020 ◽  
Vol 840 ◽  
pp. 270-276
Author(s):  
Anjas Randy Bagastama ◽  
Ahmad Husein Alkaff ◽  
Usman Sumo Friend Tambunan

Dengue is a global health problem which predominantly affected the tropical and subtropical region of Asia, Africa, and America. However, there are no available antiviral agents to treat dengue virus (DENV) infection. This study was conducted to utilize natural product compounds as an inhibitor of NS5 Methyltransferase, a viral protein which plays an essential role in the synthesis of DENV RNA. The natural product compounds were collected from the Universal Natural Product Database (UNPD), totaling 229,000 compounds. The in silico screening of the natural product compounds was performed by molecular docking simulation method, which simulates the interaction of the compounds on the active site of the NS5 methyltransferase. From the molecular docking simulation, about 51 compounds showed better affinity and interaction compared to the standard compound, S-Adenosyl-L-Homocysteine (SAH). Then, a series of pharmacological tests were performed to find the best drug candidates by employing DataWarrior and SwissADME software. Finally, three natural product compounds, namely UNPD98966, UNPD183023, and UNDP104952, were regarded as the best inhibitor against NS5 methyltransferase based on its molecular affinity and interaction. These compounds also showed potential as drug candidates due to their desirable pharmacological properties.


Author(s):  
HOLIS ABDUL HOLIK ◽  
FAISAL MAULANA IBRAHIM ◽  
ABIB LATIFU FATAH ◽  
ARIFUDIN ACHMAD ◽  
ACHMAD HUSSEIN SUNDAWA KARTAMIHARDJA

Objective: This study aims to obtain a good activity of radiotheranostic kit for cancer which is built by combining (S)-2-amino-4-(3,5-dichlorophenyl) butanoic acid (ADPB) with various bifunctional chelators. Methods: This study was conducted through in silico method that consists of molecular docking simulation using AutoDock 4 as well as ADMET prediction using vNN-ADMET and Pre-ADMET. Six bifunctional chelators (i.e. CTPA, DOTA, H2CB-TE2A, H2CB-DO2A, NOTA, and TETA) were conjugated with ADPB as a carrier molecule and further analyzed through molecular docking and ADMET prediction. Results: The results showed that the ADPB-NOTA has the best affinity with the Gibbs free energy (ΔG) of-7.68 kcal/mol with an inhibition constant of 2.36 µM and its ability to bind with the gating residue of LAT1 (ASN258) through hydrogen interactions. Besides that, the ADPB-NOTA compound has a good ADME profile and is predicted to be safe for human use. Conclusion: This study showed that ADPB-NOTA is the most prospective candidate to be used as a radiotheranostic agent.


Author(s):  
HOLIS ABDUL HOLIK ◽  
FAISAL MAULANA IBRAHIM ◽  
ELISHA WIANATALIE ◽  
ARIFUDIN ACHMAD ◽  
AHMAD FARIED ◽  
...  

Objective: In this study, various types of pharmacokinetic modifying linkers and chelators are combined with JPH203 to obtain the best-docked molecule for prospective radiopharmaceutical kits. Methods: AutoDock 4.2.6 and AutoDockTools 1.5.6 programs was used to do the molecular docking simulation and ADMET prediction was done using VNN-ADMET to predict the pharmacokinetics and toxicity of the ligand. Results: The result of this study showed that JPH203-linker K-NOTA has the best affinity with a docking score of about-10.7 kcal/mol and shows hydrogen interaction with Tyr259, which acts as key residue of the active site. Conclusion: Based on the results, JPH203-linker K-NOTA has good potential as a radiopharmaceutical kit of cancer.


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