In Silico Appraisal, Synthesis, Antibacterial Screening and DNA Cleavage for 1,2,5-thiadiazole Derivative

2019 ◽  
Vol 15 (5) ◽  
pp. 445-455 ◽  
Author(s):  
Suraj N. Mali ◽  
Sudhir Sawant ◽  
Hemchandra K. Chaudhari ◽  
Mustapha C. Mandewale
Keyword(s):  
Molecular Docking ◽  
Dna Cleavage ◽  
In Silico ◽  
Oral Absorption ◽  
Inhibition Mechanism ◽  
Hydrogen Binding ◽  
Docking Score ◽  
Antibacterial Screening ◽  
Mycobacteria Tuberculosis

Background: : Thiadiazole not only acts as “hydrogen binding domain” and “two-electron donor system” but also as constrained pharmacophore. Methods:: The maleate salt of 2-((2-hydroxy-3-((4-morpholino-1, 2,5-thiadiazol-3-yl) oxy) propyl) amino)- 2-methylpropan-1-ol (TML-Hydroxy)(4) has been synthesized. This methodology involves preparation of 4-morpholino-1, 2,5-thiadiazol-3-ol by hydroxylation of 4-(4-chloro-1, 2,5-thiadiazol-3-yl) morpholine followed by condensation with 2-(chloromethyl) oxirane to afford 4-(4-(oxiran-2-ylmethoxy)-1,2,5-thiadiazol- 3-yl) morpholine. Oxirane ring of this compound was opened by treating with 2-amino-2-methyl propan-1- ol to afford the target compound TML-Hydroxy. Structures of the synthesized compounds have been elucidated by NMR, MASS, FTIR spectroscopy. Results: : The DSC study clearly showed that the compound 4-maleate salt is crystalline in nature. In vitro antibacterial inhibition and little potential for DNA cleavage of the compound 4 were explored. We extended our study to explore the inhibition mechanism by conducting molecular docking, ADMET and molecular dynamics analysis by using Schrödinger. The molecular docking for compound 4 showed better interactions with target 3IVX with docking score of -8.508 kcal/mol with respect to standard ciprofloxacin (docking score= -3.879 kcal/mol). TML-Hydroxy was obtained in silico as non-carcinogenic and non-AMES toxic with good percent human oral absorption profile (69.639%). TML-Hydroxy showed the moderate inhibition against Mycobacteria tuberculosis with MIC 25.00 μg/mL as well as moderate inhibition against S. aureus, Bacillus sps, K. Pneumoniae and E. coli species. Conclusion: : In view of the importance of the 1,2,5-thiadiazole moiety involved, this study would pave the way for future development of more effective analogs for applications in medicinal field.

scholarly journals Investigation of biological activities of Colocasia gigantea Hook.f. leaves and PASS prediction, in silico molecular docking with ADME/T analysis of its isolated bioactive compounds

2020 ◽  
Author(s):  
Safaet Alam ◽  
Nazim Uddin Emon ◽  
Mohammad A. Rashid ◽  
Mohammad Arman ◽  
Mohammad Rashedul Haque
Keyword(s):  
Molecular Docking ◽  
Binding Affinity ◽  
In Silico ◽  
Castor Oil ◽  
Biological Activities ◽  
Kappa Opioid Receptor ◽  
Soluble Extract ◽  
Docking Score

AbstractBackgroundColocasia gigantea is locally named as kochu and also better known due to its various healing power. This research is to investigate the antidiarrheal, antimicrobial, and antioxidant possibilities of the methanol soluble extract of Colocasia gigantea.MethodsAntidiarrheal investigation was performed by using in vivo castor oil induced diarrheal method where as in vitro antimicrobial and antioxidant investigation have been implemented by disc diffusion and DPPH scavenging method respectively. Moreover, in silico studies were followed by molecular docking analysis of several secondary metabolites were appraised with Schrödinger-Maestro v 11.1.ResultsThe induction of plant extract (200 and 400 mg/kg, b.w, p.o), the castor oil mediated diarrhea has been minimized 19.05 % (p < 0.05) and 42.86 % (p < 0.001) respectively. The methanolic extract of C. gigantea showed mild sensitivity against almost all the tested strains but it shows high consistency of phenolic content and furthermore yielded 67.68 μg/mL of IC50 value in the DPPH test. The higher and lower binding affinity was shown in beta-amyrin and monoglyceryl stearic acid against the kappa-opioid receptor (PDB ID: 4DJH) with a docking score of -3.28 kcal/mol and -6.64 kcal/mol respectively. In the antimicrobial investigation, Penduletin and Beta-Amyrin showed the highest and lowest binding affinity against the selected receptors with the docking score of -8.27 kcal/mol and -1.66 kcal/mol respectively.ConclusionThe results of our scientific research reflect that the methanol soluble extract of C. gigantea is safe which may provide possibilities of alleviation of diarrhea and as a potential wellspring of antioxidants which can be considered as an alternate source for exploration of new medicinal products.

The Inhibitory Effect of Three Essential Oils on Candida rugosa Lipase: In Vitro and In Silico Studies

2020 ◽  
Vol 10 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Talia Serseg ◽  
Khedidja Benarous ◽  
Mohamed Yousfi
Keyword(s):  
Molecular Docking ◽  
Essential Oils ◽  
In Silico ◽  
Candida Rugosa ◽  
Inhibitory Effect ◽  
Mentha Piperita ◽  
Inhibition Mechanism ◽  
Syzygium Aromaticum ◽  
In Silico Studies

Background: Essential oils have been used for centuries. EOs are gaining increasing interest because of their acceptance by consumers and their safe status. For the first time, the effect of essential oils on the inhibition of lipases has been investigated in this work. Objective: We aimed in this study to investigate in vitro the inhibitory effects of the three essential oils of most used spices: Peppermint (Mentha piperita L.), cinnamon (Cinnamomum zeylanicum L.) and Cloves (Syzygium aromaticum L. Merr. et Perry) against Candida rugose lipase. In silico studies using molecular docking have been achieved to study the inhibition mechanism of major compounds of EO: menthol, carvacrol, eugenol and cinnamylaldehyde toward CRL. Methods: The inhibitory effect of three essential oils were determined by candida rugosa enzyme and pNP-L as substrate using spectrophotometry. Autodock vina was used for molecular docking with 50 runs. Results: We have found that these essential oils have a strong inhibitory effect with IC50 values 1.09, 1.78 and 1.13 mg/ml compared with Orlistat 0.06 mg/ml. The results show competitive inhibition for the three major compounds Menthol, Carvacrol and Eugenol with uncompetitive inhibition for Cinnamaldehyde. Different repetition ratios of hydrogen bonds and hydrophobic interactions were observed. The saved interactions were with His449, Ser209, Gly123, Gly124 and Phe344 for all molecules. Conclusion: These observations support using and considering essential oils and their major compounds as good sources for design new drugs to treat candidiasis and other diseases related to Lipases.

scholarly journals Synthesis, anti-tubercular evaluation and molecular docking studies of Nitrogen-rich piperazine-pyrimidine-pyrazole Hybrid Motifs

2022 ◽  
Vol 11 (1) ◽  
pp. 95-104
Author(s):  
Bhavinkumar Vavaiya ◽  
Shivani Patel ◽  
Vrajlal Pansuriya ◽  
Vanita Marvaniya ◽  
Popatbhai Patel
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Molecular Docking ◽  
In Silico ◽  
Docking Studies ◽  
In Vitro Studies ◽  
Coupling Reactions ◽  
Efficient Synthesis ◽  
Docking Score ◽  
Methylene Group

A convenient and efficient synthesis of a series of ethyl-1-(6-(4-substitutedacetylatedpiperazin-1-yl)pyrimidin-4-yl)-5-amino-1H-pyrazole-4-carboxylate (8a-8j) has been developed by five steps which include activation of a methylene group, hydrazinolysis, cyclisation and chloro-amine coupling reactions. Moreover, our proposed mechanism was confirmed in this study demonstrating that ethyl 5-amino-1-(6-chloropyrimidin-4-yl)-1H-pyrazole-4-carboxylate is the key intermediate to fulfill the desired outcomes. In silico and in vitro studies were carried out to identify the active agents among the developed adducts against mycobacterium tuberculosis (PDB ID:4TRO). Compound 8a (Docking Score: -26.81 and MIC: 1.6 ug/mL) was found to be the most potent among the synthesized molecules. All the synthesized compounds showed acceptable drug-like properties which make them suitable for further lead modification using in silico design approaches.

Structure Based Drug Design and Molecular Docking Studies of Anticancer Molecules Paclitaxel, Etoposide and Topotecan using Novel Ligands

2020 ◽  
Vol 17 (2) ◽  
pp. 183-190
Author(s):  
Manisha Yadav ◽  
Swasti Dhagat ◽  
Jujjavarapu S. Eswari
Keyword(s):  
Molecular Docking ◽  
Drug Design ◽  
In Silico ◽  
Target Protein ◽  
Cancer Drugs ◽  
Docking Score ◽  
In Silico Drug Design ◽  
Effective Manner ◽  
Anti Cancer

Background: Tubulin is the biochemical target for several clinically used anticancer drugs as it helps in the formation of mitotic spindle during mitosis stage of cell division. Many of the anti-cancer drugs are known to interact with tubulin and microtubules including some plant alkaloids, such as paclitaxel, etoposide and topotecan. In silico drug design of these molecules were performed prior to testing these drugs in vitro. In silico drug design of these anti-cancer drugs becomes a challenge due to the complex structure of target protein. This challenge was overcome by predicting the structure of the target protein (tubulin) by homology modeling. Methods: In this study, computer aided drug designing approach was applied to predict the suitable docking site in target protein and the interaction of tubulin protein with paclitaxel, etoposide and topotecan was explored by molecular docking using Schrödinger software. Docking score and glide energy were determined with ligands to validate their anticancer properties. Results: The results indicate that etoposide is the best drug for tubulin with a docking score of - 4.916 and glide energy of -46.470 kcal/mol compared to paclitaxel and topotecan. Conclusion: The testing of these drugs in silico provides an alternate to in vitro testing of these molecules on cancer cell lines which is a time and cost intensive process. The in silico study of parameters, such as docking score and glide energy, will help pharmacists in developing new molecules as targets for cancers in a time and cost-effective manner.

The Antiviral and Antimalarial Drug Repurposing in Quest of Chemotherapeutics to Combat COVID-19 Utilizing Structure-Based Molecular Docking

2020 ◽  
Vol 23 ◽  
Author(s):  
Sisir Nandi ◽  
Mohit Kumar ◽  
Mridula Saxena ◽  
Anil Kumar Saxena
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Drug Repurposing ◽  
Clinical Settings ◽  
The Novel ◽  
In Silico Docking ◽  
Biochemical Mechanisms ◽  
Novel Coronavirus ◽  
In Silico Molecular Docking

Background: The novel coronavirus disease (COVID-19) is caused by a new strain (SARS-CoV-2) erupted in 2019. Nowadays, it is a great threat that claims uncountable lives worldwide. There is no specific chemotherapeutics developed yet to combat COVID-19. Therefore, scientists have been devoted in the quest of the medicine that can cure COVID- 19. Objective: Existing antivirals such as ASC09/ritonavir, lopinavir/ritonavir with or without umifenovir in combination with antimalarial chloroquine or hydroxychloroquine have been repurposed to fight the current coronavirus epidemic. But exact biochemical mechanisms of these drugs towards COVID-19 have not been discovered to date. Method: In-silico molecular docking can predict the mode of binding to sort out the existing chemotherapeutics having a potential affinity towards inhibition of the COVID-19 target. An attempt has been made in the present work to carry out docking analyses of 34 drugs including antivirals and antimalarials to explain explicitly the mode of interactions of these ligands towards the COVID-19protease target. Results: 13 compounds having good binding affinity have been predicted towards protease binding inhibition of COVID-19. Conclusion: Our in silico docking results have been confirmed by current reports from clinical settings through the citation of suitable experimental in vitro data available in the published literature.

Virtual Screening, Molecular docking and in-silico ADME-Tox analysis for identification of potential main protease (Mpro) enzyme inhibitors

2020 ◽  
Vol 18 ◽  
Author(s):  
Debadash Panigrahi ◽  
Ganesh Prasad Mishra
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Data Bank ◽  
Future Research ◽  
Reference Compound ◽  
Unexpected Death ◽  
Main Protease ◽  
In Silico Admet

Objective:: Recent pandemic caused by SARS-CoV-2 described in Wuhan China in December-2019 spread widely almost all the countries of the world. Corona virus (COVID-19) is causing the unexpected death of many peoples and severe economic loss in several countries. Virtual screening based on molecular docking, drug-likeness prediction, and in silico ADMET study has become an effective tool for the identification of small molecules as novel antiviral drugs to treat diseases. Methods:: In the current study, virtual screening was performed through molecular docking for identifying potent inhibitors against Mpro enzyme from the ZINC library for the possible treatment of COVID-19 pandemic. Interestingly, some compounds are identified as possible anti-covid-19 agents for future research. 350 compounds were screened based on their similarity score with reference compound X77 from ZINC data bank and were subjected to docking with crystal structure available of Mpro enzyme. These compounds were then filtered by their in silico ADME-Tox and drug-likeness prediction values. Result:: Out of these 350 screened compounds, 10 compounds were selected based on their docking score and best docked pose in comparison to the reference compound X77. In silico ADME-Tox and drug likeliness predictions of the top compounds were performed and found to be excellent results. All the 10 screened compounds showed significant binding pose with the target enzyme main protease (Mpro) enzyme and satisfactory pharmacokinetic and toxicological properties. Conclusion:: Based on results we can suggest that the identified compounds may be considered for therapeutic development against the COVID-19 virus and can be further evaluated for in vitro activity, preclinical, clinical studies and formulated in a suitable dosage form to maximize their bioavailability.

scholarly journals Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2505
Author(s):  
Raheem Remtulla ◽  
Sanjoy Kumar Das ◽  
Leonard A. Levin
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
In Silico ◽  
Disulfide Bonds ◽  
Oral Absorption ◽  
In Vivo Studies ◽  
Drug Candidates ◽  
In Silico Methods

Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and ophthalmic disease models. In vitro and in vivo studies showed that the metabolites of these compounds are capable of cleaving disulfide bonds implicated in the downstream effects of axonal injury. A difficulty in using standard in silico methods for studying these drugs is that most computational tools are not designed for borane-containing compounds. Using in silico and machine learning methodologies, the absorption-distribution properties of these unique compounds were assessed. Features examined with in silico methods included cellular permeability, octanol-water partition coefficient, blood-brain barrier permeability, oral absorption and serum protein binding. The resultant neural networks demonstrated an appropriate level of accuracy and were comparable to existing in silico methodologies. Specifically, they were able to reliably predict pharmacokinetic features of known boron-containing compounds. These methods predicted that phosphine-borane compounds and their metabolites meet the necessary pharmacokinetic features for orally active drug candidates. This study showed that the combination of standard in silico predictive and machine learning models with neural networks is effective in predicting pharmacokinetic features of novel boron-containing compounds as neuroprotective drugs.

scholarly journals In silico molecular docking and in vitro antimicrobial efficacy of phytochemicals against multi-drug-resistant enteroaggregative Escherichia coli and non-typhoidal Salmonella spp.

Gut Pathogens ◽  
2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Padikkamannil Abishad ◽  
Pollumahanti Niveditha ◽  
Varsha Unni ◽  
Jess Vergis ◽  
Nitin Vasantrao Kurkure ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Molecular Docking ◽  
In Silico ◽  
Docking Studies ◽  
Antimicrobial Efficacy ◽  
Drug Resistant ◽  
Protein Motifs ◽  
Phytochemical Compounds ◽  
In Silico Molecular Docking

Abstract Background In the wake of emergence of antimicrobial resistance, bioactive phytochemical compounds are proving to be important therapeutic agents. The present study envisaged in silico molecular docking as well as in vitro antimicrobial efficacy screening of identified phytochemical ligands to the dispersin (aap) and outer membrane osmoporin (OmpC) domains of enteroaggregative Escherichia coli (EAEC) and non-typhoidal Salmonella spp. (NTS), respectively. Materials and methods The evaluation of drug-likeness, molecular properties, and bioactivity of the identified phytocompounds (thymol, carvacrol, and cinnamaldehyde) was carried out using Swiss ADME, while Protox-II and StopTox servers were used to identify its toxicity. The in silico molecular docking of the phytochemical ligands with the protein motifs of dispersin (PDB ID: 2jvu) and outer membrane osmoporin (PDB ID: 3uu2) were carried out using AutoDock v.4.20. Further, the antimicrobial efficacy of these compounds against multi-drug resistant EAEC and NTS strains was determined by estimating the minimum inhibitory concentrations and minimum bactericidal concentrations. Subsequently, these phytochemicals were subjected to their safety (sheep and human erythrocytic haemolysis) as well as stability (cationic salts, and pH) assays. Results All the three identified phytochemicals ligands were found to be zero violators of Lipinski’s rule of five and exhibited drug-likeness. The compounds tested were categorized as toxicity class-4 by Protox-II and were found to be non- cardiotoxic by StopTox. The docking studies employing 3D model of dispersin and ompC motifs with the identified phytochemical ligands exhibited good binding affinity. The identified phytochemical compounds were observed to be comparatively stable at different conditions (cationic salts, and pH); however, a concentration-dependent increase in the haemolytic assay was observed against sheep as well as human erythrocytes. Conclusions In silico molecular docking studies provided useful insights to understand the interaction of phytochemical ligands with protein motifs of pathogen and should be used routinely before the wet screening of any phytochemicals for their antibacterial, stability, and safety aspects.

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