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).

scholarly journals Deciphering Molecular Mechanism of the Neuropharmacological Action of Fucosterol through Integrated System Pharmacology and In Silico Analysis

Marine Drugs ◽  
2019 ◽  
Vol 17 (11) ◽  
pp. 639 ◽  
Author(s):  
Md. Abdul Hannan ◽  
Raju Dash ◽  
Abdullah Al Mamun Sohag ◽  
Il Soo Moon
Keyword(s):  
Protein Kinase ◽  
In Silico ◽  
In Silico Analysis ◽  
Integrated System ◽  
Mitogen Activated Protein Kinase ◽  
Network Pharmacology ◽  
Present System ◽  
Toll Like Receptor ◽  
System Pharmacology ◽  
Silico Analysis

Fucosterol is an algae-derived unique phytosterol having several medicinal properties, including antioxidant, anti-inflammatory, anticholinesterase, neuroprotective, and so on. Accumulated evidence suggests a therapeutic promise of fucosterol in neurodegeneration; however, the in-depth pharmacological mechanism of its neuroprotection is poorly understood. Here, we employed system pharmacology and in silico analysis to elucidate the underlying mechanism of neuropharmacological action of fucosterol against neurodegenerative disorders (NDD). Network pharmacology revealed that fucosterol targets signaling molecules, receptors, enzymes, transporters, transcription factors, cytoskeletal, and various other proteins of cellular pathways, including tumor necrosis factor (TNF), mitogen-activated protein kinase (MAPK), phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt), neurotrophin, and toll-like receptor (TLR) signaling, which are intimately associated with neuronal survival, immune response, and inflammation. Moreover, the molecular simulation study further verified that fucosterol exhibited a significant binding affinity to some of the vital targets, including liver X-receptor-beta (LXR-), glucocorticoid receptor (GR), tropomyosin receptor kinase B (TrkB), toll-like receptor 2/4 (TLR2/4), and β -secretase (BACE1), which are the crucial regulators of molecular and cellular processes associated with NDD. Together, the present system pharmacology and in silico findings demonstrate that fucosterol might play a significant role in modulating NDD-pathobiology, supporting its therapeutic application for the prevention and treatment of NDD.

scholarly journals In silico analysis of the supposed absence of therapeutic synergism in the association of hydroxychloroquine and azithromycin in COVID-19

2020 ◽  
Vol 9 (11) ◽  
pp. e2249119712
Author(s):  
Bruna Fernandes ◽  
Luan Gabriel Pinto ◽  
Ériky Fernandes Guimarães Silva ◽  
Angélica De Fátima Marcussi ◽  
Anderson Dillmann Groto ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Autodock Vina ◽  
Silico Analysis

A associação terapêutica entre hidroxicloroquina (HCQ) e azitromicina (AZI) foi considerada como terapia para COVID-19, no entanto, não está claro se ocorre uma ação sinérgica. Para melhor compreender esta associação terapêutica, este estudo teve como objetivo analisar a interação do HCQ e AZI com receptores humanos in silico.. A análise foi realizada por simulação de docking molecular. As interações químicas do HCQ e AZI com prováveis ​​receptores no organismo humano, ACE2 e CD147, foram analisadas no software AutoDock Vina e os resultados analisados ​​no software PyMol. Os conformadores HCQ-ACE2 e AZI-CD147 foram formados com energia de afinidade significativa de -7,0 Kcal / mol e -7,8 Kcal / mol, respectivamente. Apesar da interação entre HCQ e ACE2 poder prevenir a invasão das células pelo vírus, essa interação pode levar a efeitos colaterais graves. Por sua vez, a interação AZI-CD147 também pode atuar impedindo a entrada do vírus nas células. Além disso, de acordo com o in silicodados, a interação AZI-CD147 ocorreria de forma mais eficaz, o que leva a crer que a ação terapêutica do HCQ no COVID-19 não é tão relevante quanto a ação do AZI e não haveria sinergismo.

SYNTHESIS, IN SILICO ANALYSIS AND ANTICONVULSANT ACTIVITY OF NOVEL PYRIMIDINE DERIVATIVES

INDIAN DRUGS ◽  
2021 ◽  
Vol 58 (05) ◽  
pp. 21-29
Author(s):  
Natasha N. Aggarwal ◽  
B. C. Revanasiddappa ◽  
Banylla Felicity ◽  
Vijay Kumar ◽  
Hemanth Kumar ◽  
...  
Keyword(s):  
In Silico ◽  
Anticonvulsant Activity ◽  
In Silico Analysis ◽  
Aromatic Aldehydes ◽  
Pyrimidine Derivatives ◽  
Mass Spectral ◽  
Seizure Models ◽  
Guanidine Carbonate ◽  
Silico Analysis

In this present study, a novel series of chalcones (C1-10) were synthesized by reacting 4-nitro acetophenone and various substituted aromatic aldehydes in an alcohol medium. The title compounds, pyrimidine derivatives (PD1-10), were obtained by the cyclization of chalcones (C1-10) with guanidine carbonate in an alcoholic medium. Each of the newly synthesized compounds was structurally assigned in accordance with FT-IR, 1 H-NMR and mass spectral data. All the synthesized compounds were subjected to in silico analysis among which, some of the synthesized compounds were chosen and evaluated for in vivo anticonvulsant study by employing PTZ-induced seizure and MES seizure models. Compounds PD2 and PD7 demonstrated significant anticonvulsant activity when compared to the standard.

scholarly journals Highlighting the Role of Cdk6 Associated MicroRNAs in Cancer Treatment Using In Silico Approaches

2020 ◽  
pp. 1-14
Author(s):  
Sidra Batool ◽  
Muhammad Sibte Hasan Mahmood ◽  
Tiyyaba Furqan ◽  
Sidra Batool
Keyword(s):  
Breast Cancer ◽  
Protein Kinase ◽  
In Silico ◽  
Drug Target ◽  
In Silico Analysis ◽  
Kinase Domain ◽  
Protein Kinase Domain ◽  
Over Expression ◽  
Silico Analysis

MicroRNAs (miRNAs) are small non-coding RNA’s that controls the regulation of a gene. Due to the over expression or under expression of miRNAs it leads to cause tumor or any other type of cancers such as, melanoma, lymphoma, cardiovascular issue, breast cancer etc. So, miRNAs can be used as a drug target for cancer therapy. This study aimed to check binding cavities of microRNA's involved in regulation of CDK6 protein. There are 23 different families of miRNAs that are involved in regulation of CDK6. Each family has one or more miRNAs. All these miRNAs are involved in the up regulation or downregulation of a gene, which lead to different type of cancers. All miRNAs of each family docked with mRNA CDK6 protein. After performing in silico analysis of binding interactions of mRNA with miRNAs the results were further refined by their comparison with information regarding their energies, interaction of the mRNA and miRNAs. The results show that all miRNAs lie in Protein Kinase domain, but the residues that lie is different within the families and across the families.

scholarly journals Inhibitory Effect of Phytochemicals from Azadirachta indica A Juss. and Tinospora cordifolia (Thunb.) Miers against SARS-CoV-2 Mpro and Spike Protease- An In Silico Analysis

2020 ◽  
Author(s):  
RAMAKRISHNAMACHARYA CH ◽  
VANITHA MURALIKUMAR ◽  
CHANDRASEKAR S
Keyword(s):  
Medicinal Plants ◽  
Azadirachta Indica ◽  
In Silico ◽  
Viral Infections ◽  
In Silico Analysis ◽  
Inhibitory Effect ◽  
Tinospora Cordifolia ◽  
Autodock Vina ◽  
Reference Drug ◽  
Silico Analysis

Abstract COVID 19 caused by SARS-CoV-2 is spreading worldwide and affected 10 million people with a mortality rate between 0.5 % to 5%. Medicinal plants from China, Morocco, Algeria, Africa and India were tested for antiviral efficacy in SARS-CoV-2. Ayurveda Medicine described many medicinal plants. The Nimba (Azadirachta indica A. Juss) is used in fever, bacterial and viral infections, and Amrita (Tinospora cordifolia (Thunb.) Miers) is used as antiviral, antipyretic, and anti-inflammatory purposes. The combination of both these plants is called Nimbamritam, and it is widely used in pyrexia, dermatitis, viral infections, etc. Spike protease (PDB ID 6VXX) and Mpro (PDB ID 6LU) were retrieved from RCSB and 16 ligands from A. indica and 6 ligands from T. cordifolia were obtained from IMPPAT and PubChem. AutoDock Vina embedded PyRx was used for docking. Remdesivir was taken as a reference drug. In silico study of Cordifolide A of T cordifolia showed the highest scores with -8.2 Kcal/mol and -10.3Kcal/mol with Mpro protease and Spike protease respectively. Cordifolide A had 4 H bonds and Kaempferol had 7 non-conventional bonds, including van der Waal with Mpro (6LU7) protease. The interactions with 6VXX had 5 H bonds in each ligand Cordifolide A and Azadirachtin B. The prevention of virus entry by targeting spike protease host receptor ACE2 and restricting replication of the viral genome by targeting Mpro residues were identified in our study. A. indica and T. cordifolia are promising therapeutic agents in COVID 19.

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