scholarly journals Study of Molecular Docking, Molecular Dynamic and Toxicity Prediction of Several Quinoline Alkaloid Derivatives as a Bruton Tyrosine Kinase Inhibitor as Anti-Leukemia

2021 ◽  
Vol 11 (6-S) ◽  
pp. 70-78
Author(s):  
Fauzan Zein Muttaqin ◽  
Ikma Hanifah Restisari ◽  
Hubbi Nasrullah Muhammad
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Tyrosine Kinase ◽  
Kinase Inhibitor ◽  
Dynamics Simulation ◽  
Toxicity Prediction ◽  
Docking Simulations ◽  
Quinoline Alkaloids ◽  
Quinoline Alkaloid ◽  
Bruton Tyrosine Kinase

Quinoline alkaloid and its derivatives play a vital role in the development of new therapeutic agents. Cinnoline structure has similarities with quinoline alkaloid compound and has the potential to inhibit Bruton’s Tyrosine Kinase (BTK) in leukemia treatment. This research aims to study the interaction of several quinoline alkaloids with BTK and to predict the toxicity to ensure their safety. This study was carried out using computational studies, including molecular docking, molecular dynamics simulation, and toxicity prediction, to assess the compound’s activity towards BTK and their toxicity. Molecular docking simulations showed that ten compounds (S1, S2, S4, S5, S8, S13, S14, S16, S17, and S20) had the best affinity to BTK. Molecular dynamics simulations to these ten compounds showed that only seven compounds (S1, S5, S8, S13, S16, S17, and S20) could stabilize the interaction towards BTK with RMSD and RMSF value of 0.5 ± 2 Å and 0.5 ± 6, 5 Å, respectively. Toxicity prediction results showed that these quinoline alkaloids had various toxicity characteristics, but most were not carcinogens and mutagens (S4, S5, S6, S7, S8, S10 S11, S12, S14, and S15). It can be concluded that Yukositrin (S8) has the most potential affinity towards BTK, which can be used as anti-leukemia with low toxicity. Keywords: anti-leukemia, Bruton Tyrosine Kinase, docking, MD, quinoline alkaloids

scholarly journals MOLECULAR DOCKING, MOLECULAR DYNAMICS, AND IN SILICO TOXICITY PREDICTION STUDIES OF COUMARIN, N-OXALYLGLYCINE, ORGANOSELENIUM, ORGANOSULFUR, AND PYRIDINE DERIVATIVES AS HISTONE LYSINE DEMETHYLASE INHIBITORS

2017 ◽  
Vol 10 (12) ◽  
pp. 212
Author(s):  
Fauzan Zein Muttaqin ◽  
Taufik Muhammad Fakih ◽  
Hubbi Nashrullah Muhammad
Keyword(s):  
Prostate Cancer ◽  
Molecular Dynamics ◽  
Molecular Docking ◽  
Strong Interactions ◽  
Pyridine Derivative ◽  
Toxicity Prediction ◽  
Docking Simulations ◽  
Histone Lysine ◽  
Histone Lysine Demethylase ◽  
Lysine Demethylase

Objective: Prostate cancer is the second most common cancer in men. One of the efforts in the treatment of prostate cancer is by inhibiting histone lysine demethylase. Derivative compounds of coumarine, N-oxalylglycine, organoselenium, organosulfur, and pyridine have been reported to be active against two types of histone lysine demethylase (KDM) enzymes, KDM4E and KDM5B. This study aims to study the interactions of these derivatives with KDM.Methods: In this study, we performed computational studies, including molecular docking and molecular dynamics (MDs) simulations, and toxicity prediction, to assess the compounds’ activities toward three other KDM enzymes, KDM1A, KDM4A, and KDM4C.Results: Molecular docking simulations showed that a derivative compound of N-oxalylglycine, (R)-3-(4-[benzyloxy]phenyl)-2-(carboxyformamido) propanoic acid, and a derivative compound of pyridine, 3-(4-methoxybenzylamino)pyridine-2,4-dicarboxylic acid, has the highest affinity toward KDM. These results were confirmed in MDs studies which showed strong interactions at the active site of the five receptors. Toxicity prediction results show that the derivative compounds of coumarine, N-oxalylglycine, organoselenium, organosulfur, and pyridine are classified in category (high class), which suggests that the safety is not guaranteed, but is likely, not carcinogenic and nongenotoxic.Conclusion: Several coumarin, N-oxalylglycine, organoselenium, organosulfur, and pyridine derivative compounds are predicted to be able to interact strongly with KDM. The results in this study are useful for further studies in the development of novel anticancer drugs that target KDM.

Study on the interactions of pyrimidine derivatives with FAK by 3D-QSAR, molecular docking and molecular dynamics simulation

2020 ◽  
Vol 44 (45) ◽  
pp. 19499-19507
Author(s):  
Chuan-ce Sun ◽  
Li-jun Feng ◽  
Xiao-hua Sun ◽  
Ri-lei Yu ◽  
Yan-yan Chu ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Growth Factor ◽  
Tyrosine Kinase ◽  
Focal Adhesion ◽  
3D Qsar ◽  
Dynamics Simulation ◽  
Growth Factor Signaling ◽  
Pyrimidine Derivatives

Focal adhesion kinase (FAK) is a kind of tyrosine kinase that modulates integrin and growth factor signaling pathways.

Exploring the effect of inhibitor AKB‐9778 on VE‐PTP by molecular docking and molecular dynamics simulation

2019 ◽  
Vol 120 (10) ◽  
pp. 17015-17029 ◽  
Author(s):  
Wen‐Shan Liu ◽  
Rui‐Rui Wang ◽  
Ying‐Zhan Sun ◽  
Wei‐Ya Li ◽  
Hong‐Lian Li ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Dynamics Simulation

scholarly journals Computational Study on Selective PDE9 Inhibitors on PDE9-Mg/Mg, PDE9-Zn/Mg, and PDE9-Zn/Zn Systems

Biomolecules ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 709
Author(s):  
Dakshinamurthy Sivakumar ◽  
Sathish-Kumar Mudedla ◽  
Seonghun Jang ◽  
Hyunjun Kim ◽  
Hyunjin Park ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Erectile Dysfunction ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Cardiovascular Diseases ◽  
Neurodegenerative Disorders ◽  
Computational Study ◽  
Dynamics Simulation ◽  
Interaction Patterns

PDE9 inhibitors have been studied to validate their potential to treat diabetes, neurodegenerative disorders, cardiovascular diseases, and erectile dysfunction. In this report, we have selected highly potent previously reported selective PDE9 inhibitors BAY73-6691R, BAY73-6691S, 28r, 28s, 3r, 3s, PF-0447943, PF-4181366, and 4r to elucidate the differences in their interaction patterns in the presence of different metal systems such as Zn/Mg, Mg/Mg, and Zn/Zn. The initial complexes were generated by molecular docking followed by molecular dynamics simulation for 100 ns in triplicate for each system to understand the interactions’ stability. The results were carefully analyzed, focusing on the ligands’ non-bonded interactions with PDE9 in different metal systems.

scholarly journals Identification of Anti-SARS-CoV-2 Compounds from Food Using QSAR-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation Analysis

2021 ◽  
Vol 14 (4) ◽  
pp. 357
Author(s):  
Magdi E. A. Zaki ◽  
Sami A. Al-Hussain ◽  
Vijay H. Masand ◽  
Siddhartha Akasapu ◽  
Sumit O. Bajaj ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Virtual Screening ◽  
Simulation Analysis ◽  
Qsar Model ◽  
Quantitative Structure Activity Relationship ◽  
Dynamics Simulation ◽  
Multilinear Regression ◽  
Qsar Analysis ◽  
Main Protease

Due to the genetic similarity between SARS-CoV-2 and SARS-CoV, the present work endeavored to derive a balanced Quantitative Structure−Activity Relationship (QSAR) model, molecular docking, and molecular dynamics (MD) simulation studies to identify novel molecules having inhibitory potential against the main protease (Mpro) of SARS-CoV-2. The QSAR analysis developed on multivariate GA–MLR (Genetic Algorithm–Multilinear Regression) model with acceptable statistical performance (R2 = 0.898, Q2loo = 0.859, etc.). QSAR analysis attributed the good correlation with different types of atoms like non-ring Carbons and Nitrogens, amide Nitrogen, sp2-hybridized Carbons, etc. Thus, the QSAR model has a good balance of qualitative and quantitative requirements (balanced QSAR model) and satisfies the Organisation for Economic Co-operation and Development (OECD) guidelines. After that, a QSAR-based virtual screening of 26,467 food compounds and 360 heterocyclic variants of molecule 1 (benzotriazole–indole hybrid molecule) helped to identify promising hits. Furthermore, the molecular docking and molecular dynamics (MD) simulations of Mpro with molecule 1 recognized the structural motifs with significant stability. Molecular docking and QSAR provided consensus and complementary results. The validated analyses are capable of optimizing a drug/lead candidate for better inhibitory activity against the main protease of SARS-CoV-2.

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