Phytochemical Screening of Adathodai Kudineer a Siddha Concoction and Evaluation of Binding Affinity of Its Constituents with SARS-CoV-2 Spike Protein and ACE2 Receptor Spike Protein Complex Through Molecular Docking In-Silico Approach

In silico technique is widely used for drug discovery because it can predict the conformation of ligands in protein macromolecules and it can calculate the binding affinity. The energy minimization is carried out to make the ligand more stable near the initial state during molecular docking process. The Merck Molecular Force Field (MMFF94) is one type of energy minimization process often used in organic compounds. The molecular docking of substituted oxindole derivatives on indoleamine macromolecules 2,3-dioxygenase (IDO-1, PDB: 2D0T) by MMFF94 minimization operated by MarvinSketch and Open Babel in PyRx showed different results. The binding affinity energy obtained was also quite different, but the ligands have the same conformation and bind the same residue with slightly different bond distances. Keywords: Molecular docking, energy minimization, substituted oxindole, Merck Molecular Force Field 94 Teknik in silico banyak digunakan untuk penemuan senyawa obat karena dapat memprediksi konformasi suatu ligan dalam makromolekul protein dan mampu menghitung nilai afinitas ikatan. Proses minimisasi energi dilakukan untuk menjadikan ligan lebih stabil mendekati keadaan awal selama penambatan molekular berlangsung. Merck Molecular Force Field (MMFF94) adalah salah satu jenis persamaan minimisasi energi yang sering digunakan pada senyawa organik. Hasil pengujian pengaruh minimisasi energi dengan MMFF94 menggunakan program MarvinSketch dan Open Babel dalam PyRx pada turunan oksindola tersubstitusi alkil terhadap makromolekul 2,3-dioxygenase indoleamine (IDO-1, PDB: 2D0T) menunjukkan hasil dengan nilai yang berbeda. Energi afinitas ikatan yang didapatkan juga cukup berbeda, namun ligan memiliki konformasi yang sama dan mengikat residu yang sama dengan jarak ikatan yang sedikit berbeda. Kata kunci: Penambatan molekular, minimisasi energi, oksindola tersubstitusi, Merck Molecular Force Field 94

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Prediction Mechanism of Nevadensin as Antibacterial Agent against S. sanguinis: In vitro and In silico Studies

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207324666210707104440 ◽

2021 ◽

Vol 24 ◽

Author(s):

Aldina Amalia Nur Shadrina ◽

Yetty Herdiyati ◽

Ika Wiani ◽

Mieke Hemiawati Satari ◽

Dikdik Kurnia

Keyword(s):

Antibacterial Activity ◽

Molecular Docking ◽

Dental Caries ◽

Binding Affinity ◽

In Silico ◽

Antibacterial Agent ◽

In Silico Analysis ◽

Dna Gyrase ◽

Silico Analysis

Background: Streptococcus sanguinis can contribute to tooth demineralization, which can lead to dental caries. Antibiotics used indefinitely to treat dental caries can lead to bacterial resistance. Discovering new antibacterial agents from natural products like Ocimum basilicum will help combat antibiotic resistance. In silico analysis (molecular docking) can help determine the lead compound by studying the molecular interaction between the drug and the target receptor (MurA enzyme and DNA gyrase). It is a potential candidate for antibacterial drug development. Objective: The research objective is to isolate the secondary metabolite of O. basilicum extract that has activity against S. sanguinis through in vitro and in silico analysis. Methods: n-Hexane extract of O. basilicum was purified by combining column chromatography with bioactivity-guided. The in vitro antibacterial activity against S. sanguinis was determined using the disc diffusion and microdilution method, while molecular docking simulation of nevadensin (1) with MurA enzyme and DNA gyrase was performed used PyRx 0.8 program. Results: Nevadensin from O. basilicum was successfully isolated and characterized by spectroscopic methods. This compound showed antibacterial activity against S. sanguinis with MIC and MBC values of 3750 and 15000 μg/mL, respectively. In silico analysis showed that the binding affinity to MurA was -8.5 Kcal/mol, and the binding affinity to DNA gyrase was -6.7 Kcal/mol. The binding of nevadensin-MurA is greater than fosfomycin-MurA. Otherwise, Nevadensin-DNA gyrase has a weaker binding affinity than fluoroquinolone-DNA gyrase and chlorhexidine-DNA gyrase. Conclusion: Nevadensin showed potential as a new natural antibacterial agent by inhibiting the MurA enzyme rather than DNA gyrase.

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Characterization of α-Glucosidase Inhibitors from Psychotria malayana Jack Leaves Extract Using LC-MS-Based Multivariate Data Analysis and In-Silico Molecular Docking

Molecules ◽

10.3390/molecules25245885 ◽

2020 ◽

Vol 25 (24) ◽

pp. 5885

Author(s):

Tanzina Sharmin Nipun ◽

Alfi Khatib ◽

Zalikha Ibrahim ◽

Qamar Uddin Ahmed ◽

Irna Elina Redzwan ◽

...

Keyword(s):

Molecular Docking ◽

Data Analysis ◽

Binding Affinity ◽

Bioactive Compounds ◽

In Silico ◽

Multivariate Data Analysis ◽

Multivariate Data ◽

Partial Least Square ◽

Protein Data Bank Code ◽

Glucosidase Inhibitors

Psychotria malayana Jack has traditionally been used to treat diabetes. Despite its potential, the scientific proof in relation to this plant is still lacking. Thus, the present study aimed to investigate the α-glucosidase inhibitors in P.malayana leaf extracts using a metabolomics approach and to elucidate the ligand–protein interactions through in silico techniques. The plant leaves were extracted with methanol and water at five various ratios (100, 75, 50, 25 and 0% v/v; water–methanol). Each extract was tested for α-glucosidase inhibition, followed by analysis using liquid chromatography tandem to mass spectrometry. The data were further subjected to multivariate data analysis by means of an orthogonal partial least square in order to correlate the chemical profile and the bioactivity. The loading plots revealed that the m/z signals correspond to the activity of α-glucosidase inhibitors, which led to the identification of three putative bioactive compounds, namely 5′-hydroxymethyl-1′-(1, 2, 3, 9-tetrahydro-pyrrolo (2, 1-b) quinazolin-1-yl)-heptan-1′-one (1), α-terpinyl-β-glucoside (2), and machaeridiol-A (3). Molecular docking of the identified inhibitors was performed using Auto Dock Vina software against the crystal structure of Saccharomyces cerevisiae isomaltase (Protein Data Bank code: 3A4A). Four hydrogen bonds were detected in the docked complex, involving several residues, namely ASP352, ARG213, ARG442, GLU277, GLN279, HIE280, and GLU411. Compound 1, 2, and 3 showed binding affinity values of −8.3, −7.6, and −10.0 kcal/mol, respectively, which indicate the good binding ability of the compounds towards the enzyme when compared to that of quercetin, a known α-glucosidase inhibitor. The three identified compounds that showed potential binding affinity towards the enzymatic protein in molecular docking interactions could be the bioactive compounds associated with the traditional use of this plant.

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In-silico Molecular Docking and ADME/Pharmacokinetic Prediction Studies of Some Novel Carboxamide Derivatives as Anti-tubercular Agents

Chemistry Africa ◽

10.1007/s42250-020-00162-3 ◽

2020 ◽

Vol 3 (4) ◽

pp. 989-1000

Author(s):

Mustapha Abdullahi ◽

Shola Elijah Adeniji

Keyword(s):

Molecular Docking ◽

Binding Affinity ◽

In Silico ◽

Density Functional ◽

Docking Simulation ◽

Basis Set ◽

Hybrid Functional ◽

Standard Drug

AbstractMolecular docking simulation of thirty-five (35) molecules of N-(2-phenoxy)ethyl imidazo[1,2-a]pyridine-3-carboxamide (IPA) with Mycobacterium tuberculosis target (DNA gyrase) was carried out so as to evaluate their theoretical binding affinities. The chemical structure of the molecules was accurately drawn using ChemDraw Ultra software, then optimized at density functional theory (DFT) using Becke’s three-parameter Lee–Yang–Parr hybrid functional (B3LYP/6-311**) basis set in a vacuum of Spartan 14 software. Subsequently, the docking operation was carried out using PyRx virtual screening software. Molecule 35 (M35) with the highest binding affinity of − 7.2 kcal/mol was selected as the lead molecule for structural modification which led to the development of four (4) newly hypothetical molecules D1, D2, D3 and D4. In addition, the D4 molecule with the highest binding affinity value of − 9.4 kcal/mol formed more H-bond interactions signifying better orientation of the ligand in the binding site compared to M35 and isoniazid standard drug. In-silico ADME and drug-likeness prediction of the molecules showed good pharmacokinetic properties having high gastrointestinal absorption, orally bioavailable, and less toxic. The outcome of the present research strengthens the relevance of these compounds as promising lead candidates for the treatment of multidrug-resistant tuberculosis which could help the medicinal chemists and pharmaceutical professionals in further designing and synthesis of more potent drug candidates. Moreover, the research also encouraged the in vivo and in vitro evaluation study for the proposed designed compounds to validate the computational findings.

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A novel recombinant AzrC protein proposed by molecular docking and in silico analyses to improve azo dye's binding affinity

Gene ◽

10.1016/j.gene.2015.05.063 ◽

2015 ◽

Vol 569 (2) ◽

pp. 233-238 ◽

Cited By ~ 11

Author(s):

Fariba Dehghanian ◽

Maryam Kay ◽

Danial Kahrizi

Keyword(s):

Molecular Docking ◽

Binding Affinity ◽

In Silico ◽

In Silico Analyses

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Molecular Docking Senyawa Asam Askorbat dan Kuersetin pada Tumbuhan Jambu Biji Merah (Psidium guajava L.) Sebagai Pencegah COVID-19

Jurnal e-Biomedik ◽

10.35790/ebm.v9i2.31846 ◽

2021 ◽

Vol 9 (2) ◽

Author(s):

Inggrid V. Gandu ◽

Fona D. H. Budiarso ◽

Billy J. Kepel ◽

. Fatimawali ◽

Aaltje Manampiring ◽

...

Keyword(s):

Infectious Disease ◽

Ascorbic Acid ◽

Molecular Docking ◽

Immune System ◽

Binding Affinity ◽

In Silico ◽

Preventive Measure ◽

Psidium Guajava ◽

Positive Control ◽

Important Thing

Abstract: Coronavirus Disease 2019 or COVID-19 is an infectious disease first identified in Wuhan, China in December 2019. Prevention of COVID-19 infection is an important thing to do in reducing the spread of this virus. Boosting the body's immune system can be done as a preventive measure, one of which is by consuming natural plants such as red guava. This study aims to determine the molecular docking of red guava (Psidium guajava L.) as a plant to prevent COVID-19. This was an in silico with computerized methods. The samples in this study were ascorbic acid and quercetin compounds in red guava plants obtained from the PubChem website. The results showed that the binding affinity of ascorbic acid is -5.4 and the binding affinity of quercetin is -7.6. Remdesivir which was used as a positive control had a binding affinity of -7.3. In conclusion, quercetin compounds have better results than ascorbic acid compounds and remdesivir.Keywords: COVID-19, red guava, molecular docking Abstrak: Coronavirus Disease 2019 atau COVID-19 merupakan suatu penyakit menular yang pertama kali ditemukan di Wuhan, Tiongkok pada Desember 2019. Pencegahan infeksi COVID-19 merupakan hal yang penting untuk dilakukan dalam mengurangi penyebaran dari virus ini. Meningkatkan sistem imun tubuh dapat dilakukan sebagai tindakan pencegahan salah satunya dengan mengonsumsi tumbuhan-tumbuhan alami seperti jambu biji merah. Penelitian ini bertujuan untuk mengetahui molecular docking jambu biji merah (Psidium guajava L.) sebagai tanaman pencegah COVID-19. Jenis penelitian ialah in silico dengan metode komputerisasi. Sampel penelitian yaitu senyawa asam askorbat dan kuersetin pada tumbuhan jambu biji merah yang diperoleh dari website pubchem. Hasil penelitian mendapatkan binding affinity dari senyawa asam askorbat yaitu -5.4 dan binding affinity dari senyawa kuersetin yaitu -7.6. Remdesivir yang dijadikan sebagai kontrol positif mendapatkan hasil binding affinity yaitu -7.3. Simpulan penelitian ini ialah senyawa kuersetin memiliki hasil yang lebih baik daripada senyawa asam askorbat dan juga obat remdesivir.Kata kunci: COVID-19, jambu biji merah, molecular docking

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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

10.1101/2020.05.18.101113 ◽

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.

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Harnessing the Sars-cov-2 Spike Protein Binding Affinity to Ace2 Receptor Through Narcotinic Compounds Combined With Adjuvants: an in Silico Insight

10.21203/rs.3.rs-254891/v1 ◽

2021 ◽

Author(s):

Saeedeh Mohammadi ◽

Esmail Doustkhah ◽

Nader Sakhaee ◽

Ayoub Esmailpour ◽

Mohammad Esmailpour

Keyword(s):

Binding Affinity ◽

In Silico ◽

Muramyl Dipeptide ◽

Docking Studies ◽

Spike Protein ◽

Binding Affinities ◽

Narcotic Analgesics ◽

S Protein ◽

Suitable Combination ◽

Spike Proteins

Abstract Protein products of SARS-CoV-2 spike (S) coding gene sequence, were all analyzed and compared to other SARS-CoV S proteins to elucidate structural similarities of spike proteins. A homology modeling of SARS-CoV-2 S protein was obtained and used in molecular docking studies to find binding affinities of spike protein for angiotensin-converting enzyme 2 (ACE2). The two most important binding sites of S protein, namely, RBD and CTD, critically responsible for binding interactions, were identified. Finally, binding affinity of RBD and CTD domains of S protein with narcotic analgesics are studied. Moreover, interactions of ACE2 receptor- S protein with narcotic compounds when mixed with small molecule adjuvants to improve the immune response and increase the efficacy of potential vaccines, were taken into consideration. In-silico results suggest that the combination of narcotine hemiacetal with mannide monooleate shows a stronger binding affinity with CTD, while carprofen-muramyl dipeptide and squalene have stronger binding affinities for the RBD portion of S protein. Thus, a suitable combination of these narcotic is proposed to yield potent site-blocking efficacy for ACE2 receptor against SARS-CoV-2 spike proteins.

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In-silico screening of active molecules from medicinal plant resources for controlling SARS-CoV-2 infection

Journal of Ayurvedic and Herbal Medicine ◽

10.31254/jahm.2020.6310 ◽

2020 ◽

Vol 6 (3) ◽

pp. 149-153

Author(s):

Rajdeep Ghosh ◽

◽

Satadru Palbag ◽

Debasish Ghosh ◽

◽

...

Keyword(s):

Molecular Docking ◽

Medicinal Plant ◽

In Silico ◽

Human Population ◽

Treatment Strategies ◽

Viral Proteins ◽

Spike Protein ◽

Plant Resources ◽

In Silico Screening ◽

Life Threatening

The entire human population is under treat of SARS-Cov-2 virus causing life threatening complicacies. Three proteins namely papain-like protease (PLpro), 3C-like protease (3CLpro) and spike protein isolated from the virus have been targeted for formulating the antiviral medicament. Ayurvedic medicinal plants with established antiviral efficacy are great choice to design immediate treatment strategies in this trying time. Here, 9 active molecules from ayurvedic medicinal plant resources were selected, out of which only 6 have screened through ADME analysis and molecular docking was performed with the three viral proteins to understand their antiviral performances in in silico model. Outcome of this study will surely open up a floodgate of thousand new possibilities in exploiting the existing natural herbs in COVID 19 treatments.

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