scholarly journals In Silico Study on Interaction and Preliminary Toxicity Prediction of Eleutherine americana Components as an Antifungal and Antitoxoplasmosis Candidate

2020 ◽  
Vol 20 (4) ◽  
pp. 899
Author(s):  
Sophi Damayanti ◽  
Nadiyah Athifah Salim Martak ◽  
Benny Permana ◽  
Adi Suwandi ◽  
Rika Hartati ◽  
...  
Keyword(s):  
Binding Energy ◽  
In Silico ◽  
Aquatic Toxicity ◽  
Three Dimensional ◽  
Positive Control ◽  
Toxicity Prediction ◽  
Target Proteins ◽  
Discovery Studio ◽  
Free Binding Energy ◽  
Eleutherine Americana

Red bulbs of Eleutherine americana (Aubl.) Merr. ex K. Heyne has been known for its high content of naphthoquinones that have antifungal and antiparasitic activities. In this research, in silico interaction study was performed between 31 compounds reported to be found in E. americana with the selected target proteins for antifungal and antitoxoplasmosis activity using the molecular docking method. An ORPs (OSBP-related proteins), Osh4 (PDB ID: 1ZHX), and N-myristoyltransferase (Nmt, PDB ID: 1IYL) were used as the antifungal target proteins. Toxoplasma gondii purine nucleoside phosphorylase (TgPNP, PDB ID: 3MB8) and calcium-dependent protein kinase-1 (TgCDPK1, PDB ID: 4M84) were used as antitoxoplasmosis target proteins. Three-dimensional structures of the test compounds were made and optimized using GaussView 6.0 and Gaussian 09W. The target proteins were prepared using the Discovery Studio 2016 Program. Aquatic toxicity prediction as the preliminary assessment of the safety of the compounds was performed using ECOSAR v2.0. The results suggest that the compound having both the smallest free binding energy compared with positive control and other test compounds and low predicted toxicity is β-sitosterol with a free binding energy of ‒11.55 and ‒11.18 kcal/mol towards Osh4 and Nmt and ‒8.06 and ‒10.29 kcal/mol towards TgPNP and TgCDPK1, respectively.

Novel Thiazole-Based Thiazolidinones as Potent Anti-infective Agents: In silico PASS and Toxicity Prediction, Synthesis, Biological Evaluation and Molecular Modelling

2020 ◽  
Vol 23 (2) ◽  
pp. 126-140 ◽  
Author(s):  
Christophe Tratrat
Keyword(s):  
In Silico ◽  
Antimicrobial Agents ◽  
Target Identification ◽  
Biological Evaluation ◽  
Microbial Infection ◽  
Toxicity Prediction ◽  
Discovery Studio ◽  
Bacteria And Fungi ◽  
Multiple Drugs ◽  
Antibacterial And Antifungal

Aims and Objective: The infectious disease treatment remains a challenging concern owing to the increasing number of pathogenic microorganisms associated with resistance to multiple drugs. A promising approach for combating microbial infection is to combine two or more known bioactive heterocyclic pharmacophores in one molecular platform. Herein, the synthesis and biological evaluation of novel thiazole-thiazolidinone hybrids as potential antimicrobial agents were dissimilated. Materials and Methods: The preparation of the substituted 5-benzylidene-2-thiazolyimino-4- thiazolidinones was achieved in three steps from 2-amino-5-methylthiazoline. All the compounds have been screened in PASS antibacterial activity prediction and in a panel of bacteria and fungi strains. Minimum inhibitory concentration and minimum bacterial concentration were both determined by microdilution assays. Molecular modeling was conducted using Accelrys Discovery Studio 4.0 client. ToxPredict (OPEN TOX) and ProTox were used to estimate the toxicity of the title compounds. Results: PASS prediction revealed the potentiality antibacterial property of the designed thiazolethiazolidinone hybrids. All tested compounds were found to kill and to inhibit the growth of a vast variety of bacteria and fungi, and were more potent than the commercial drugs, streptomycin, ampicillin, bifomazole and ketoconazole. Further, in silico study was carried out for prospective molecular target identification and revealed favorable interaction with the target enzymes E. coli MurB and CYP51B of Aspergillus fumigatus. Toxicity prediction revealed that none of the active compounds was found toxic. Conclusion: Substituted 5-benzylidene-2-thiazolyimino-4-thiazolidinones, endowing remarkable antibacterial and antifungal properties, were identified as a novel class of antimicrobial agents and may find a potential therapeutic use to eradicate infectious diseases.

scholarly journals Kaempferol-Mediated Sensitization Enhances Chemotherapeutic Efficacy of Sorafenib Against Hepatocellular Carcinoma: An In Silico and In Vitro Approach

2020 ◽  
Vol 10 (3) ◽  
pp. 472-476
Author(s):  
Bhagyalakshmi Nair ◽  
Ruby John Anto ◽  
Sabitha M ◽  
Lekshmi R. Nath
Keyword(s):  
Hepatocellular Carcinoma ◽  
Multidrug Resistance ◽  
Liver Cancer ◽  
In Silico ◽  
Culture Media ◽  
Positive Control ◽  
Advanced Hepatocellular Carcinoma ◽  
Discovery Studio ◽  
Toxic Concentrations

Purpose : Sorafenib is the sole FDA approved drug conventionally used for the treatment of advanced hepatocellular carcinoma (HCC). Despite of the beneficial use of sorafenib in the treatment of HCC, multidrug resistance still remains a challenge. HCC is inherently known as chemotherapy resistant tumor due to P-glycoprotein (P-gp)-mediated multidrug resistance. Methods: We studied the interaction energy of kaempferol with human multidrug resistance protein-1 (RCSB PDB ID: 2CBZ) using in silico method with the help of BIOVIA Discovery Studio. HepG2 and N1S1 liver cancer cell lines were treated in suitable cell culture media to evaluate the efficacy of kaempferol in chemo-sensitizing liver cancer cells towards the effect of sorafenib. Cell viability study was performed by MTT assay. Results: In silico analysis of kaempferol showed best docking score of 23.14 with Human Multi Drug Resistant Protein-1 (RCSB PDB ID: 2CBZ) compared with positive control verapamil. In in-vitro condition, combination of sub-toxic concentrations of both kaempferol and sorafenib produced 50% cytotoxicity with concentration of 2.5 µM each which indicates that kaempferol has the ability to reverse the MDR by decreasing the over-expression of P-gp. Conclusion: Kaempferol is able to sensitize the HepG2 and N1S1 against the sub-toxic concentration of sorafenib. Hence, we consider that the efficacy of sorafenib chemotherapy can be enhanced by the significant approach of combining the sub-toxic concentrations of sorafenib with kaempferol. Thus, kaempferol can be used as a better candidate molecule along with sorafenib for enhancing its efficacy, if validated through preclinical studies.

scholarly journals Molecular Docking and In Silico ADMET Study Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Chaluveelaveedu Murleedharan Nisha ◽  
Ashwini Kumar ◽  
Prateek Nair ◽  
Nityasha Gupta ◽  
Chitrangda Silakari ◽  
...  
Keyword(s):  
Binding Energy ◽  
Tartaric Acid ◽  
In Silico ◽  
Data Bank ◽  
Positive Control ◽  
Phase Iii ◽  
Phase Iii Trial ◽  
Promising Target ◽  
In Silico Admet ◽  
As Solubility

Amyloidogenic pathway in Alzheimer’s disease (AD) involves breakdown of APP by β-secretase followed by γ-secretase and results in formation of amyloid beta plaque. β-secretase has been a promising target for developing novel anti-Alzheimer drugs. To test different molecules for this purpose, test ligands like acylguanidine 7a, rosiglitazone, pioglitazone, and tartaric acid were docked against our target protein β-secretase enzyme retrieved from Protein Data Bank, considering MK-8931 (phase III trial, Merck) as the positive control. Docking revealed that, with respect to their free binding energy, acylguanidine 7a has the lowest binding energy followed by MK-8931 and pioglitazone and binds significantly to β-secretase. In silico ADMET predictions revealed that except tartaric acid all other compounds had minimal toxic effects and had good absorption as well as solubility characteristics. These compounds may serve as potential lead compound for developing new anti-Alzheimer drug.

scholarly journals ANTI-PARKINSON POTENTIAL OF PERSEA AMERICANA SEED EXTRACTS THROUGH IN-SILICO DOCKING STUDY

2020 ◽  
pp. 152-155
Author(s):  
RACHAEL EVANGELINE ◽  
NIHAL AHMED
Keyword(s):  
Binding Energy ◽  
Hydrogen Bonds ◽  
In Silico ◽  
Water Extract ◽  
Docking Study ◽  
Persea Americana ◽  
Ligand Docking ◽  
Docking Analysis ◽  
In Silico Docking ◽  
Free Binding Energy

Objective: The aim of this study is to investigate the potential of Persea americana extracts for their Anti-Parkinson application through an in-silico docking study. Methods: PubChem and protein data bank databases were used to retrieve 3D structures. AutoDock4 was used to perform protein-ligand docking analysis. PyMOL was used to visualize the docking results. Results: Among the 30 ligand, the highest affinity was demonstrated by Hesperidin with a free binding energy of −6.8 kcal/mol and formation of five hydrogen bonds. The second highest significance was demonstrated by Biphenyl 4-(4-diethylaminobenzylidenamino) with a free binding energy of −5.9 kcal/mol with the formation of 2 hydrogen bonds. Among the three sets of phytochemicals from different solvent extracts, water extract demonstrated the highest potential as Anti-Parkinson active. Conclusion: P. americana extracts were analyzed for their Anti-Parkinson potential, and among the three extracts, the aqueous extract was predicted to have significant Anti-Parkinson potential, based on in silico docking analysis, due to the presence of active phytochemicals such as Hesperidin and others.

scholarly journals STUDI MOLECULAR DOCKING SENYAWA GOLONGAN FLAVONOL SEBAGAI ANTIBAKTERI

2018 ◽  
Vol 1 (2) ◽  
pp. 20-27
Author(s):  
Isna Wardaniati ◽  
Muhammad Azhari Herli
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Binding Affinity ◽  
Bioactive Compounds ◽  
In Silico ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Three Dimensional Structure ◽  
Receptor Interactions

In this paper we studied the bioactive compounds of Flavonol-D-alanil D-alanin dekarboksipeptidase receptor interactions In silico. First, prepared three dimensional structure of D-alanil D-alanin dekarboksipeptidase as receptor. Preparation of fourth bioactive compounds of flavonol which will be as ligands, klokasilin and D-alanil D-alanin as a comparison. The fourth bioactive compounds of flavonol, klokasilin and D-alanil D-alanin were docked with D-alanil D-alanin dekarboksipeptidase until energy values were obtained. The fourth bioactive compounds of flavonol had lesser binding energy values than D-alanil D-alanin, Quercitrine and rutin also predicted to have greater binding energy and binding affinity than klokasilin (antibiotic) and D-alanil D-alanin (nature ligand).

scholarly journals Assessment of Antidiabetic Activity of the Shikonin by Allosteric Inhibition of Protein-Tyrosine Phosphatase 1B (PTP1B) Using State of Art: An In Silico and In Vitro Tactics

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3996
Author(s):  
Mohd Saeed ◽  
Ambreen Shoaib ◽  
Munazzah Tasleem ◽  
Nadiyah M. Alabdallah ◽  
Md Jahoor Alam ◽  
...  
Keyword(s):  
Side Effects ◽  
In Silico ◽  
Unmet Need ◽  
In Vitro Studies ◽  
Health Concern ◽  
Antidiabetic Activity ◽  
Target Proteins ◽  
Protein Tyrosine ◽  
Discovery Studio

Diabetes mellitus is a multifactorial disease that affects both developing and developed countries and is a major public health concern. Many synthetic drugs are available in the market, which counteracts the associated pathologies. However, due to the propensity of side effects, there is an unmet need for the investigation of safe and effective drugs. This research aims to find a novel phytoconstituent having diminished action on blood glucose levels with the least side effects. Shikonin is a naturally occurring naphthoquinone dying pigment obtained by the roots of the Boraginaceae family. Besides its use as pigments, it can be used as an antimicrobial, anti-inflammatory, and anti-tumor agent. This research aimed to hypothesize the physicochemical and phytochemical properties of Shikonin’s in silico interaction with protein tyrosine phosphate 1B, as well as it’s in vitro studies, in order to determine its potential anti-diabetic impact. To do so, molecular docking experiments with target proteins were conducted to assess their anti-diabetic ability. Analyzing associations with corresponding amino acids revealed the significant molecular interactions between Shikonin and diabetes-related target proteins. In silico pharmacokinetics and toxicity profile of Shikonin using ADMET Descriptor, Toxicity Prediction, and Calculate Molecular Properties tools from Biovia Discovery Studio v4.5. Filter by Lipinski and Veber Rule’s module from Biovia Discovery Studio v4.5 was applied to assess the drug-likeness of Shikonin. The in vitro studies exposed that Shikonin shows an inhibitory potential against the PTP1B with an IC50 value of 15.51 µM. The kinetics studies revealed that it has a competitive inhibitory effect (Ki = 7.5 M) on the enzyme system, which could be useful in the production of preventive and therapeutic agents. The findings of this research suggested that the Shikonin could be used as an anti-diabetic agent and can be used as a novel source for drug delivery.

scholarly journals Potential Inhibitors of Galactofuranosyltransferase 2 (GlfT2): Molecular Docking, 3D-QSAR, and In Silico ADMETox Studies

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christopher Llynard D. Ortiz ◽  
Gladys C. Completo ◽  
Ruel C. Nacario ◽  
Ricky B. Nellas
Keyword(s):  
Cell Wall ◽  
Molecular Docking ◽  
Binding Energy ◽  
In Silico ◽  
Effective Interaction ◽  
Three Dimensional ◽  
3D Qsar ◽  
Quantitative Structure Activity Relationship ◽  
Docking Studies ◽  
Design And Synthesis

AbstractA strategy in the discovery of anti-tuberculosis (anti-TB) drug involves targeting the enzymes involved in the biosynthesis of Mycobacterium tuberculosis’ (Mtb) cell wall. One of these enzymes is Galactofuranosyltransferase 2 (GlfT2) that catalyzes the elongation of the galactan chain of Mtb cell wall. Studies targeting GlfT2 have so far produced compounds showing minimal inhibitory activity. With the current challenge of designing potential GlfT2 inhibitors with high inhibition activity, computational methods such as molecular docking, receptor-ligand mapping, molecular dynamics, and Three-Dimensional-Quantitative Structure-Activity Relationship (3D-QSAR) were utilized to deduce the interactions of the reported compounds with the target enzyme and enabling the design of more potent GlfT2 inhibitors. Molecular docking studies showed that the synthesized compounds have binding energy values between −3.00 to −6.00 kcal mol−1. Two compounds, #27 and #31, have registered binding energy values of −8.32 ± 0.01, and −8.08 ± 0.01 kcal mol−1, respectively. These compounds were synthesized as UDP-Galactopyranose mutase (UGM) inhibitors and could possibly inhibit GlfT2. Interestingly, the analogs of the known disaccharide substrate, compounds #1–4, have binding energy range of −10.00 to −19.00 kcal mol−1. The synthesized and newly designed compounds were subjected to 3D-QSAR to further design compounds with effective interaction within the active site. Results showed improved binding energy from −6.00 to −8.00 kcal mol−1. A significant increase on the binding affinity was observed when modifying the aglycon part instead of the sugar moiety. Furthermore, these top hit compounds were subjected to in silico ADMETox evaluation. Compounds #31, #70, #71, #72, and #73 were found to pass the ADME evaluation and throughout the screening, only compound #31 passed the predicted toxicity evaluation. This work could pave the way in the design and synthesis of GlfT2 inhibitors through computer-aided drug design and can be used as an initial approach in identifying potential novel GlfT2 inhibitors with promising activity and low toxicity.

In Silico Screening Reveals Histone Deacetylase 7 and ERK1/2 as Potential Targets for Artemisinin Dimer and Artemisinin Dimer Hemisuccinate

2020 ◽  
Vol 17 (5) ◽  
pp. 725-734
Author(s):  
Ahmed A. Ishola ◽  
Kayode E. Adewole
Keyword(s):  
Histone Deacetylase ◽  
Anticancer Drug ◽  
In Silico ◽  
Great Promise ◽  
Binding Affinities ◽  
Target Proteins ◽  
Discovery Studio ◽  
Artemisinin Derivatives ◽  
Anticancer Properties ◽  
Extracellular Signal

Background: Recent studies have observed overexpression of histone deacetylase 7 (HDAC7) and overactivity of extracellular signal-regulated kinases 1/2 (ERK1/2) in many tumors; therefore, pharmacological interventions to inhibit overexpression of HDAC7 and overactivity of ERK1/2 in cancerous cells holds great promise in cancer treatment. The promising anticancer properties of artemisinin and artemisinin-derivatives (ARTs) have been validated by various experimental reports, including advanced pre-clinical trials. Objective: Our aim in this in silico study is to identify additional inhibitors of HDAC7, ERK1 and ERK2 as potential anticancer drug agents and provide insight into the molecular level of interactions of such ligands relative to known standards. Methods: To achieve this aim, the binding affinities of ulixertinib (the standard ERK inhibitor), apicidin (the standard HDAC7 inhibitor) as well as 49 ARTs for HDAC7, ERK1 and ERK2 were evaluated using AutodockVina. The molecular binding interactions of compounds with remarkable binding affinity for all the 3 target proteins, relative to their respective standards, were viewed with Discovery Studio Visualizer, BIOVIA, 2016. Results: Out of the 49 ARTs, our study identified 2 compounds, artemisinin dimer and artemisinin dimer hemisuccinate, as having higher binding affinities for all the target proteins compared to their respective standard inhibitors. Conclusion: These findings suggest that artemisinin dimer and artemisinin dimer hemisuccinate could be promising anticancer drug agents, with better therapeutic efficacy than ulixertinib and apicidin for the treatment of cancer via inhibition of HDAC7, ERK1 and ERK2.

scholarly journals In silico Identification of Characteristics Spike Glycoprotein of SARS-CoV-2 in the Development Novel Candidates for COVID-19 Infectious Diseases

2020 ◽  
Vol 6 (2) ◽  
pp. 48-52
Author(s):  
Taufik Muhammad Fakih ◽  
Mentari Luthfika Dewi
Keyword(s):  
Infectious Diseases ◽  
In Silico ◽  
Three Dimensional ◽  
Protein Docking ◽  
Dimensional Structure ◽  
Spike Glycoprotein ◽  
Angiotensin Converting Enzyme 2 ◽  
Docking Simulations ◽  
Discovery Studio ◽  
Identification Evaluation

Background: The emergence of infectious diseases caused by SARS-CoV-2 has resulted in more than 90,000 infections and 3,000 deaths. The coronavirus spike glycoprotein encourages the entry of SARS-CoV-2 into cells and is the main target of antivirals. SARS-CoV-2 uses ACE2 to enter cells with an affinity similar to SARS-CoV, correlated with the efficient spread of SARS-CoV-2 among humans.Objective: In the research, identification, evaluation, and exploration of the structure of SARS-CoV and SARS-CoV-2 spike glycoprotein macromolecules and their effects on Angiotensin-Converting Enzyme 2 (ACE-2) using in silico studies.Methods: The spike glycoproteins of the two coronaviruses were prepared using the BIOVIA Discovery Studio 2020. Further identification of the three-dimensional structure and sequencing of the macromolecular spike glycoprotein structure using Chimera 1.14 and Notepad++. To ensure the affinity and molecular interactions between the SARS-CoV and SARS-CoV-2 spike glycoproteins against ACE-2 protein-protein docking simulations using PatchDock was accomplished. The results of the simulations were verified using the BIOVIA Discovery Studio 2020.Results: Based on the results of the identification of the macromolecular structure of the spike glycoprotein, it was found that there are some similarities in characteristics between SARS-CoV and SARS-CoV-2. Protein-protein docking simulations resulted that SARS-COV-2 spike glycoprotein has the strongest bond with ACE-2, with an ACE score of −1509.13 kJ/mol.Conclusion: Therefore, some information obtained from the results of this research can be used as a reference in the development of SARS-CoV-2 spike glycoprotein inhibitor candidates for the treatment of infectious diseases of COVID-19.

scholarly journals IN SILICO MOLECULAR DOCKING OF XANTHONE DERIVATIVES AS CYCLOOXYGENASE-2 INHIBITOR AGENTS

2017 ◽  
Vol 9 (3) ◽  
pp. 98 ◽  
Author(s):  
Isnatin Miladiyah ◽  
Jumina Jumina ◽  
Sofia Mubarika Haryana ◽  
Mustofa Mustofa
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Active Site ◽  
In Silico ◽  
Cyclooxygenase 2 ◽  
Xanthone Derivatives ◽  
In Silico Studies ◽  
Free Binding Energy ◽  
Cox 2 ◽  
Cox 1

Objective: To demonstrate the potential ofdifferent xanthone derivatives as cyclooxygenase-2 (COX-2) inhibitor agents and their selectivity against cycloooxygenase-1 (COX-1) and COX-2 using molecular simulation.Methods: Nine novel xanthone derivatives (compounds A-I) were employed to dock against protein COX-2 (Protein Data Bank/PDB ID: 1CX2) and COX-1 (PDB ID: 3N8Z). Celecoxib, a selective COX-2 inhibitor, was chosen as a control compound. The free binding energy produced by the docking was scored using Protein-Ligand Ant System (PLANTS) and the hydrogen bonds (H-bonds) between ligands and enzymes were visualised using Pymol.Results: Molecular docking studies revealed that celecoxib docked to the active site of COX-2 enzyme, but not to COX-1; whereasxanthone derivatives docked to the active site of both COX-2 and COX-1. Free binding energy of xanthone derivatives ranged between-73,57 to-79,18 and between-73,06 to-79,25 against COX-2 and COX-1, respectively, and-78,13 against celecoxib. H-bonds in the molecule of xanthone derivatives and COX-2 protein were found in amino acid residues Arg120, Tyr355, Tyr385,and Ser353. There was an insignificant difference between the free binding energyof xanthone derivatives against COX-2 and against COX-1, suggesting that their inhibition was non-selective.Conclusion: In conclusion, in silico studies showed that xanthone derivatives could be effective as potential inhibitors against COX-2, although they are not selective.

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