In Silico-Mediated Virtual Screening and Molecular Docking Platforms for Discovery of Non β-Lactam Inhibitors of Y-49 β-Lactamase from Mycobacterium Tuberculosis

Background: Postprandial hyperglycemia considered to be a major risk factor for cerebrovascular complications. Objective: The current study was designed to elucidate the beneficial role of voglibose via in-silico in vitro to in-vivo studies in improving the postprandial glycaemic state by protection against strokeprone type 2 diabetes. Material and Methods: In-Silico molecular docking and virtual screening were carried out with the help of iGEMDOCK+ Pymol+docking software and Protein Drug Bank database (PDB). Based on the results of docking studies, in-vivo investigation was carried out for possible neuroprotective action. T2DM was induced by a single injection of streptozotocin (90mg/kg, i.v.) to neonates. Six weeks after induction, voglibose was administered at the dose of 10mg/kg p.o. for two weeks. After eight weeks, diabetic rats were subjected to middle cerebral artery occlusion, and after 72 hours of surgery, neurological deficits were determined. The blood was collected for the determination of serum glucose, CK-MB, LDH and lipid levels. Brains were excised for determination of brain infarct volume, brain hemisphere weight difference, Na+-K+ ATPase activity, ROS parameters, NO levels, and aldose reductase activity. Results: In-silico docking studies showed good docking binding score for stroke associated proteins, which possibly hypotheses neuroprotective action of voglibose in stroke. In the present in-vivo study, pre-treatment with voglibose showed a significant decrease (p<0.05) in serum glucose and lipid levels. Voglibose has shown significant (p<0.05) reduction in neurological score, brain infarct volume, the difference in brain hemisphere weight. On biochemical evaluation, treatment with voglibose produced significant (p<0.05) decrease in CK-MB, LDH, and NO levels in blood and reduction in Na+-K+ ATPase, oxidative stress, and aldose reductase activity in brain homogenate. Conclusion: In-silico molecular docking and virtual screening studies and in-vivo studies in MCAo induced stroke, animal model outcomes support the strong anti-stroke signature for possible neuroprotective therapeutics.

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

Anti-Infective Agents ◽

10.2174/2211352518999201208201854 ◽

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.

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Molecular Modeling Studies on 2,4-Disubstituted Imidazopyridines as Anti-Malarials: Atom-Based 3D-QSAR, Molecular Docking, Virtual Screening, In-Silico ADMET and Theoretical Analysis

Journal of Computational Biophysics and Chemistry ◽

10.1142/s2737416521500125 ◽

2021 ◽

pp. 2150012

Author(s):

Suraj N. Mali ◽

Anima Pandey

Keyword(s):

Molecular Docking ◽

Molecular Modeling ◽

Virtual Screening ◽

In Silico ◽

Energy Gap ◽

3D Qsar ◽

Modeling Studies ◽

In Vitro Investigation ◽

In Silico Admet ◽

Molecular Modeling Studies

Malarial parasites have been reported for moderate-high resistance towards classical antimalarial agents and henceforth development of newer novel chemical entities targeting multiple targets rather than targeting single target will be a highly promising strategy in antimalarial drug discovery. Herein, we carried out molecular modeling studies on 2,4-disubstituted imidazopyridines as anti-hemozoin formation inhibitors by using Schrödinger’s molecular modeling package (2020_4). We have developed statistically robust atom-based 3D-QSAR model (training set, [Formula: see text]; test set, [Formula: see text]; [Formula: see text] [Formula: see text]; root-mean-square error, [Formula: see text]; standard deviation, [Formula: see text]). Our molecular docking, in-silico ADMET analysis showed that dataset molecule 37, has highly promising results. Our ligand-based virtual screening resulted in top five ZINC hits, among them ZINC73737443 hit was observed with lesser energy gap, i.e. 7.85[Formula: see text]eV, higher softness value (0.127[Formula: see text]eV), and comparatively good docking score of [Formula: see text]10.2[Formula: see text]kcal/mol. Our in-silico analysis for a proposed hit, ZINC73737443 showed that this molecule has good ADMET, in-silico nonames toxic as well as noncarcinogenic profile. We believe that further experimental as well as the in-vitro investigation will throw more lights on the identification of ZINC73737443 as a potential antimalarial agent.

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Υπολογιστικά εργαλεία για την αναζήτηση νέων βιοδραστικών ενώσεων σε επιλεγμένους πρωτεϊνικούς στόχους

10.12681/eadd/40331 ◽

2017 ◽

Author(s):

Ευτυχία Κρίτση

Keyword(s):

Molecular Dynamics ◽

Molecular Docking ◽

Virtual Screening ◽

Molecular Dynamics Simulations ◽

In Silico ◽

Pharmacophore Modeling ◽

Lead Optimization ◽

Dynamics Simulations ◽

Hiv 1

Στην παρούσα διατριβή πραγματοποιήθηκε εκτενής μελέτη για την αναζήτηση πρόδρομων βιοδραστικών ενώσεων (hits) από χημικές βιβλιοθήκες για τρείς βιολογικούς στόχους, μέσω της εφαρμογής εμπορικά διαθέσιμων in silico τεχνικών και μεθοδολογιών.Οι στόχοι που επιλέχθηκαν ανήκουν σε διαφορετικές κατηγορίες πρωτεϊνών με μεγάλο φαρμακευτικό ενδιαφέρον, που όμως παρουσιάζουν διαφορετικό επίπεδο ωριμότητας όσον αφορά την εφαρμογή υπολογιστικών εργαλείωνγια την ανακάλυψη νέων φαρμακευτικών ενώσεων. Συγκεριμένα, οι στόχοι που μελετήθηκαν είναι οι ακόλουθοι:•το ένζυμο της 14-α διμεθυλάσης της λανοστερόλης (CYP51) για την αναζήτηση νέων πρόδρομων βιοδραστικών ενώσεων με αντιμικροβιακές ιδιότητες,•το ένζυμο της HIV τύπου 1 πρωτεάσης (HIV-1 PR) για την αναζήτηση νέων πρόδρομων βιοδραστικών ενώσεων με αντι-HIV δράση,•ο διαμεμβρανικός υποδοχέας της Αγγειοτασίνης ΙΙ (ΑΤ1) για την αναζήτηση νέων πρόδρομων βιοδραστικών με αντιυπερτασική δράσηΟι κυριότερες τεχνικές που χρησιμοποιήθηκαν για την αναζήτηση πρόδρομων βιοδραστικών ενώσεων περιλαμβάνουν την Εικονική Σάρωση (Virtual Screening) με χρήση Φαρμακοφόρων Μοντέλων (Pharmacophore modeling), τη Μοριακή Πρόσδεση (Molecular Docking), την πρόβλεψη μοριακών ιδιοτήτων καθώς και Προσομοιώσεις Μοριακής Δυναμικής (Molecular Dynamics Simulations). Η στρατηγική που ακολουθήθηκε διαφέρει σημαντικά ανά στόχο όσον αφορά τη μεθοδολογική προσέγγιση και την επιλογή των υπολογιστικών εργαλείων-αλγορίθμων, δίνοντας έμφαση στη συμπληρωματικότητα των αποτελεσμάτων τους. Για την ανάδειξη των πρόδρομων βιοδραστικών ενώσεων, πραγματοποιήθηκαν in vitro βιολογικές δοκιμές των ενώσεων που προτάθηκαν μέσω των υπολογιστικών τεχνικών. Οι ενώσεις που επιλέχθηκαν παρουσίασαν ανασταλτική δράση (ή συγγένεια πρόσδεσης) σε ικανοποιητικό εύρος τιμών 102 nM–μΜ για να χαρακτηριστούν πρόδρομες βιοδραστικές. Μείζονος σημασίας είναι και το γεγονός ότι οι δομικοί σκελετοί των προτεινόμενων ενώσεων για κάθε στόχο, είναι διαφορετικοί τόσο μεταξύ τους όσο και συγκρινόμενοι με τα υφιστάμενα φαρμακευτικά μόρια. Ως εκ τούτου, μπορούν να αποτελέσουν κατάλληλα "υποστρώματα" για το επόμενο στάδιο που αφορά τη βελτιστοποίησή τους προς ενώσεις-οδηγούς (hit to lead optimization) και δυνητικά προς νέα φαρμακευτικά προϊόντα.

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ANALYSIS OF MOLECULAR DOCKING EFFICIENCY OF CLEISTANTHIN-A, AS AN ALTERNATIVE FOR NICOTINE ADDICTION

International Journal of Pharmacy and Pharmaceutical Sciences ◽

10.22159/ijpps.2018v10i4.24637 ◽

2018 ◽

Vol 10 (4) ◽

pp. 98

Author(s):

A. Amala Lourthuraj ◽

M. Masilamani Selvam ◽

Bharathi Ravikrishnan ◽

M. Vinoth ◽

Waheeta Hopper

Keyword(s):

Molecular Docking ◽

Virtual Screening ◽

Protein Data Bank ◽

Acetylcholine Receptor ◽

Nicotinic Acetylcholine Receptor ◽

High Throughput ◽

In Silico ◽

Data Bank ◽

Tobacco Consumption ◽

Nicotinic Acetylcholine

Objective: The present research was aimed to understand the molecular docking efficiency of a plant-derived compound cleistanthin-A and a common ingredient in tobacco consumption nicotine with nicotinic acetylcholine receptor (nAChR).Methods: The 3-D structure of nAChR was retrieved from the protein data bank (ID 5AFH). Ligand was obtained from the PUBCHEM. The in silico protocol comprised of three steps: high-throughput virtual screening (HTVS), standard precision (SP) and extra precision (XP). The screened molecules were ranked accordingly using glide score. Schrödinger tool was used to perform the docking analysis.Results: The binding efficiency of the nicotine and cleistanthin-A was found to be docked at the cys-cys loop of the receptor. Based upon the glide score and glide energy it can be reported that, nicotine binding can be inhibited by the binding of cleistanthin-A to the nAChR.Conclusion: The docking efficiency of cleistanthin-A was good compared to nicotine towards nAChR. Hence, cleistanthin–A was derived as a better choice as an alternative for nicotine in smoke therapy.

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Virtual Screening Peptida Bioaktif Antihipertensi dari Hidrolisat Kasein Susu Kambing Etawa

ALCHEMY ◽

10.18860/al.v5i2.3671 ◽

2016 ◽

Vol 5 (2) ◽

pp. 45

Author(s):

Sandra Hermanto

Keyword(s):

Molecular Docking ◽

Virtual Screening ◽

Angiotensin Converting Enzyme ◽

Protease Inhibitor ◽

In Silico ◽

Reference Sequence ◽

Capra Hircus ◽

Converting Enzyme

Penapisan peptida bioaktif dari hidrolisat kasein susu kambing Etawa yang berpotensi sebagai obat antihipertensi berdasarkan kajian in silico telah dilakukan. Protein yang digunakan adalah α-S1-kasein prekursor [Capra hircus] NCBI Reference Sequence: NP_001272624.1, α-S2-kasein prekursor [C. hircus] NCBI Reference Sequence: NP_001272514.1, β-kasein [C. hircus] NCBI Reference Sequence: AAA30906.1 dan κ-kasein prekursor [C. hircus] NCBI Reference Sequence: NP_001272516.1. Perancangan struktur peptida bioaktif dilakukan melalui simulasi hidrolisis enzimatik dengan menggunakan 3 jenis enzim proteolitik (tripsin, kimotripsin dan pepsin) dan dilanjutkan dengan preparasi struktur 3D ligan hasil pemotongan secara in silico. Virtual screening terhadap fragmen peptida dilakukan melalui penentuan nilai drug likeness dan protease inhibitor. Dari 104 fragmen peptida diperoleh 10 kandidat peptida bioaktif yang dilakukan simulasi molecular docking dengan mengeksplorasi daya inhibisi fragmen melalui perhitungan nilai (∆Gbinding) dan interaksi antara kandidat peptida bioaktif dengan residu asam amino pada sisi aktif enzim ACE (Angiotensin Converting Enzyme). Sebagai kontrol positif digunakan lisinopril yang merupakan inhibitor ACE komersil. Hasil penelitian menunjukkan dari 10 kandidat peptida bioaktif terdapat 6 peptida yang diduga bersifat antihipertensi dengan nilai ∆Gbinding yang lebih rendah dari kontrol positif (lisinopril). Keenam peptida tersebut diharapkan dapat berfungsi sebagai obat alternatif antihipertensi.

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in Silico Docking and Molecular Dynamic Simulation of 3-Dehydroquinate Dehydratase from Mycobacterium Tuberculosis Through Virtual Screening and Pharmacokinetics Studies

10.26434/chemrxiv.12498155.v1 ◽

2020 ◽

Author(s):

Mustafa Alhaji Isa ◽

Muhammad M Ibrahim

Keyword(s):

Mycobacterium Tuberculosis ◽

Virtual Screening ◽

Molecular Dynamic ◽

In Silico ◽

Md Simulation ◽

Binding Energies ◽

In Silico Docking ◽

Pharmacokinetic Properties

The 3-hydroquinate synthase (DHQase) is an enzyme that catalyzes the third step of the shikimate pathway in Mycobacterium tuberculosis (MTB), by converting 3-dehydroquinate into 3-dehydroshikimate. In this study, the novel inhibitors of DHQase from MTB was identified using in silico approach. The crystal structure of DHQase bound to 1,3,4-trihydroxy-5-(3-phenoxypropyl)-cyclohexane-1-carboxylic acid (CA) obtained from the Protein Data Bank (PDB ID: 3N76). The structure prepared through energy minimization and structure optimization. A total of 9699 compounds obtained from Zinc and PubChem databases capable of binding to DHQase and subjected to virtual screening through Lipinski’s rule of five and molecular docking analysis. Eight (8) compounds with good binding energies, ranged between ─8.99 to ─8.39kcal/mol were selected, better than the binding energy of ─4.93kcal/mol for CA and further filtered for pharmacokinetic properties (Absorption, Distribution, Metabolism, Excretion, and Toxicity or ADMET). Five compounds (ZINC14981770, ZINC14741224, ZINC14743698, ZINC13165465, and ZINC8442077) which had desirable pharmacokinetic properties selected for molecular dynamic (MD) simulation and molecular generalized born surface area (MM-GBSA) analyses. The results of the analyses showed that all the compounds formed stable and rigid complexes after the 50ns MD simulation and also had a lower binding as compared to CA. Therefore, these compounds considered as good inhibitors of MTB after in vitro and in vivo validation.”

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Identification of novel and structurally diverse N-Methyl-D-Aspartate Receptor Antagonists: Successful Application of Pharmacophore Modeling, Virtual Screening and Molecular Docking

10.1101/314914 ◽

2018 ◽

Cited By ~ 1

Author(s):

Mukta Sharma ◽

Anupama Mittal ◽

Aarti Singh ◽

Ashwin K. Jainarayanan ◽

Sarvesh Kumar Paliwal

Keyword(s):

Hydrogen Bond ◽

Molecular Docking ◽

Nmda Receptor ◽

Virtual Screening ◽

Alzheimer Disease ◽

Receptor Antagonist ◽

In Silico ◽

Nmda Receptor Antagonist ◽

Receptor Antagonists ◽

Hydrogen Bond Acceptor

ABSTRACTIn view of “excitotoxic” effects of glutamate, wherein excessive excitatory input causes increase in intracellular Ca2+ and ultimately cell death, NMDA receptor has emerged as an important target for treatment and prevention of several neurological disorders, like Alzheimer disease. Prompted by the successful application of in-silico pharmacophore-based virtual screening in lead identification, we have made an effort to implement in-silico protocols to identify novel NMDA receptor antagonist. A series of novel benzo[b]quinolizinium cations as NMDA receptor antagonists have been used as a starting point to develop prognostic pharmacophore models. The most predictive pharmacophore model (hypothesis 1), consisting of four features, namely, one hydrogen bond acceptor, one hydrophobic and two ring aromatic, showed a correlation (r) of 0.89, root mean square of 0.259, and the cost difference of 43.01 bits between null and fixed cost. The model was thoroughly validated and subjected to a chemical database search, which lead to the identification of 400 hits from NCI and Maybridge databases which were checked for Lipinski’s violation and predictive potency.This reduced the list to 10 compounds, out of which, two most potent compounds were subjected to molecular docking using Libdock software and interestingly, all the docked conformations showed hydrogen bond interactions with important amino acids Tyr214, His88, Thr174, Val169 and Arg121. In summary, through our validated pharmacophore-based virtual screening protocol, we have identified two potent, structurally diverse, druggable and novel NMDA receptor antagonist which might be of great help to address the unmet medical need of Alzheimer disease.

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in silico Design, ADME Prediction, Molecular Docking, Synthesis of Novel Triazoles, Indazoles & Aminopyridines and in vitro Evaluation of Antitubercular Activity

Asian Journal of Chemistry ◽

10.14233/ajchem.2020.22790 ◽

2020 ◽

Vol 32 (11) ◽

pp. 2713-2721

Author(s):

S. Triveni ◽

C. Naresh Babu ◽

E. Bhargav ◽

M. Vijaya Jyothi

Keyword(s):

Mycobacterium Tuberculosis ◽

Molecular Docking ◽

Drug Design ◽

In Silico ◽

Antitubercular Activity ◽

Docking Studies ◽

Luciferase Reporter ◽

Assay Method ◽

Adme Prediction

To design and synthesize novel triazoles, indazoles and aminopyridines from various (thiophene-2-yl)prop-2-en-1-one derivatives as antitubercular leads by in silico and in vitro methods. in silco Drug design, ADME prediction and molecular docking studies were performed to assess drug likeliness and antitubercular potential of all 30 novel triazoles, indazoles and aminopyridines. in silico Drug design studies revealed that the synthetic routes applied were appropriate according to the calculations of Swiss-ADME that measure synthetic accessibility. Most of the synthesized compounds found to have considerable binding score with enoyl ACP reductase enzyme of Mycobacterium tuberculosis. All the synthesized compounds were evaluated for antitubercular potential against Drug Resistant Mycobacterium tuberculosis H37Rv strain by Luciferase reporter assay method. Most of the synthesized compounds exhibited remarkable antitubercular potential against resistant strain.

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