scholarly journals Virtual Screening of Acetylcholinesterase Inhibitors Using the Lipinski’s Rule of Five and ZINC Databank

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Pablo Andrei Nogara ◽  
Rogério de Aquino Saraiva ◽  
Diones Caeran Bueno ◽  
Lílian Juliana Lissner ◽  
Cristiane Lenz Dalla Corte ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Ache Activity ◽  
Acetylcholinesterase Inhibitors ◽  
Behavioral Changes ◽  
Lipinski’S Rule ◽  
Memory Impairments ◽  
Compound C ◽  
Lipinski’S Rule Of Five

Alzheimer’s disease (AD) is a progressive and neurodegenerative pathology that can affect people over 65 years of age. It causes several complications, such as behavioral changes, language deficits, depression, and memory impairments. One of the methods used to treat AD is the increase of acetylcholine (ACh) in the brain by using acetylcholinesterase inhibitors (AChEIs). In this study, we used the ZINC databank and the Lipinski’s rule of five to perform a virtual screening and a molecular docking (using Auto Dock Vina 1.1.1) aiming to select possible compounds that have quaternary ammonium atom able to inhibit acetylcholinesterase (AChE) activity. The molecules were obtained by screening and furtherin vitroassays were performed to analyze the most potent inhibitors through the IC50value and also to describe the interaction models between inhibitors and enzyme by molecular docking. The results showed that compound D inhibited AChE activity from different vertebrate sources and butyrylcholinesterase (BChE) fromEquus ferus(EfBChE), with IC50ranging from 1.69 ± 0.46 to 5.64 ± 2.47 µM. Compound D interacted with the peripheral anionic subsite in both enzymes, blocking substrate entrance to the active site. In contrast, compound C had higher specificity as inhibitor ofEfBChE. In conclusion, the screening was effective in finding inhibitors of AChE and BuChE from different organisms.

scholarly journals In silico study on anti-Chikungunya virus activity of hesperetin

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2602 ◽  
Author(s):  
Adrian Oo ◽  
Pouya Hassandarvish ◽  
Sek Peng Chin ◽  
Vannajan Sanghiran Lee ◽  
Sazaly Abu Bakar ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Chikungunya Virus ◽  
Md Simulations ◽  
Inhibitory Effect ◽  
Structural Proteins ◽  
In Vitro Screening ◽  
Intracellular Replication ◽  
Lipinski’S Rule ◽  
Lipinski’S Rule Of Five

BackgroundThe re-emerging,Aedes spp.transmitted Chikungunya virus (CHIKV) has recently caused large outbreaks in a wide geographical distribution of the world including countries in Europe and America. Though fatalities associated with this self-remitting disease were rarely reported, quality of patients’ lives have been severely diminished by polyarthralgia recurrence. Neither effective antiviral treatment nor vaccines are available for CHIKV. Our previous in vitro screening showed that hesperetin, a bioflavonoid exhibits inhibitory effect on the virus intracellular replication. Here, we present a study using the computational approach to identify possible target proteins for future mechanistic studies of hesperetin.Methods3D structures of CHIKV nsP2 (3TRK) and nsP3 (3GPG) were retrieved from Protein Data Bank (PDB), whereas nsP1, nsP4 and cellular factor SPK2 were modeled using Iterative Threading Assembly Refinement (I-TASSER) server based on respective amino acids sequence. We performed molecular docking on hesperetin against all four CHIKV non-structural proteins and SPK2. Proteins preparation and subsequent molecular docking were performed using Discovery Studio 2.5 and AutoDock Vina 1.5.6. The Lipinski’s values of the ligand were computed and compared with the available data from PubChem. Two non-structural proteins with crystal structures 3GPG and 3TRK in complexed with hesperetin, demonstrated favorable free energy of binding from the docking study, were further explored using molecular dynamics (MD) simulations.ResultsWe observed that hesperetin interacts with different types of proteins involving hydrogen bonds, pi-pi effects, pi-cation bonding and pi-sigma interactions with varying binding energies. Among all five tested proteins, our compound has the highest binding affinity with 3GPG at −8.5 kcal/mol. The ligand used in this study also matches the Lipinski’s rule of five in addition to exhibiting closely similar properties with that of in PubChem. The docking simulation was performed to obtain a first guess of the binding structure of hesperetin complex and subsequently analysed by MD simulations to assess the reliability of the docking results. Root mean square deviation (RMSD) of the simulated systems from MD simulations indicated that the hesperetin complex remains stable within the simulation timescale.DiscussionThe ligand’s tendencies of binding to the important proteins for CHIKV replication were consistent with our previous in vitro screening which showed its efficacy in blocking the virus intracellular replication. NsP3 serves as the highest potential target protein for the compound’s inhibitory effect, while it is interesting to highlight the possibility of interrupting CHIKV replication via interaction with host cellular factor. By complying the Lipinski’s rule of five, hesperetin exhibits drug-like properties which projects its potential as a therapeutic option for CHIKV infection.

scholarly journals Screening nucleotide and nucleoside analogues as potential inhibitors of SARS-CoV-2 RNA-dependent RNA polymerase by the molecular docking method for the treatment of COVID-19

2021 ◽  
Vol 63 (9) ◽  
pp. 14-21
Author(s):  
Thi Thu Hang Ta ◽  
◽  
Bao Kim Nguyen ◽  
Dang Huy Le ◽  
Thanh Tung Bui ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Rna Polymerase ◽  
Health Concern ◽  
Pharmacokinetic Parameters ◽  
Rna Dependent Rna Polymerase ◽  
Lipinski’S Rule ◽  
Docking Method ◽  
Lipinski’S Rule Of Five

The COVID-19 pandemic triggering acute respiratory syndrome is a major global health concern. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) enzyme regulating viral replication has been evaluated as a potential therapeutic target for inhibition of the infection of SARS-CoV-2. In this study, we evaluated the ability of RNA-dependent RNA polymerase drug inhibitors by using molecular docking in silico model. Lipinski’s rule of Five was used to evaluate drug - like properties of potential compound. Pharmacokinetic parameters of potential compounds were assessed using the pkCSM tool. Based on previous publications, we have collected 100 compounds. The results exhibited that 18 compounds have RdRp inhibitory activity stronger than the remdesivir as reference compounds. The Lipinski’s rule of Five showed that 17 among 18 compounds had proprietary drug-likenesss. Compounds including novuridine, didanosine, sofosbuvir, puromycin, defibrotite, gemcitabine, and nikkomycins are the most negative energies and have pharmacokinetic good absorption, not metabolised in the liver, excreted by the kidney and may have hepatotoxicity properties. Therefore, it is necessary to conduct the in vitro and in vivo assays to developthese compounds into drugs for COVID-19 treatment

scholarly journals Virtual Screening and Biological Evaluation of Piperazine Derivatives as Human Acetylcholinesterase Inhibitors

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Kavitha Raj Varadaraju ◽  
Jajur Ramanna Kumar ◽  
Lingappa Mallesha ◽  
Archana Muruli ◽  
Kikkeri Narasimha Shetty Mohana ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Hydrophobic Interactions ◽  
Acetylcholinesterase Inhibitors ◽  
Biological Evaluation ◽  
Anionic Site ◽  
Amyloid Peptides ◽  
Lipinski’S Rule ◽  
Piperazine Derivatives ◽  
Catalytic Sites ◽  
Lipinski’S Rule Of Five

The piperazine derivatives have been shown to inhibit human acetylcholinesterase. Virtual screening by molecular docking of piperazine derivatives 1-(1,4-benzodioxane-2-carbonyl) piperazine (K), 4-(4-methyl)-benzenesulfonyl-1-(1,4-benzodioxane-2-carbonyl) piperazine (S1), and 4-(4-chloro)-benzenesulfonyl-1-(1,4-benzodioxane-2-carbonyl) piperazine (S3) has been shown to bind at peripheral anionic site and catalytic sites, whereas 4-benzenesulfonyl-1-(1,4-benzodioxane-2-carbonyl) piperazine (S4) and 4-(2,5-dichloro)-benzenesulfonyl-1-(1,4-benzodioxane-2-carbonyl) piperazine (S7) do not bind either to peripheral anionic site or catalytic site with hydrogen bond. All the derivatives have differed in number of H-bonds and hydrophobic interactions. The peripheral anionic site interacting molecules have proven to be potential therapeutics in inhibiting amyloid peptides aggregation in Alzheimer’s disease. All the piperazine derivatives follow Lipinski’s rule of five. Among all the derivatives 1-(1,4-benzodioxane-2-carbonyl) piperazine (K) was found to have the lowest TPSA value.

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 Molecular Docking Studies of Flavonoids from Andrographis paniculata as Potential Acetylcholinesterase, Butyrylcholinesterase and Monoamine Oxidase Inhibitors Towards the Treatment of Neurodegenerative Diseases

2020 ◽  
Vol 11 (3) ◽  
pp. 9871-9879
Keyword(s):  
Molecular Docking ◽  
Monoamine Oxidase ◽  
Neurodegenerative Diseases ◽  
Docking Studies ◽  
Monoamine Oxidase Inhibitors ◽  
Andrographis Paniculata ◽  
Lipinski’S Rule ◽  
Bioinformatic Tools ◽  
Pubchem Database ◽  
Lipinski’S Rule Of Five

Neurodegenerative diseases have been characterized by loss of neuron structures as well as their functions. This study was designed to assess molecular docking of flavonoids from Andrographis paniculata as potential acetylcholinesterase, butyrylcholinesterase, and monoamine oxidase inhibitors in the treatment of neurodegenerative diseases. Eight identified possible inhibitors of acetylcholinesterase, butyrylcholinesterase, and monoamine oxidase from Andrographis paniculata were retrieved from the PubChem database. The molecular docking, ADMET, and Lipinski’s rule of five were examined using different bioinformatic tools. It was shown that only rutin has the highest binding affinity (-12.6 kcal/mol) than the standard used. ADMET results demonstrated that all the eight compounds are druggable candidates except rutin. Also, only tangeritin has a blood-brain barrier (BBB) permeation potential. Hence, it can be deduced that all flavonoid compounds from Andrographis paniculata are orally druggable, which can make them useful in the treatment of neurodegenerative diseases better than donepezil.

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

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.

scholarly journals Study on Structure Activity Relationship of Natural Flavonoids against Thrombin by Molecular Docking Virtual Screening Combined with Activity Evaluation In Vitro

Molecules ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 422
Author(s):  
Xiaoyan Wang ◽  
Zhen Yang ◽  
Feifei Su ◽  
Jin Li ◽  
Evans Owusu Boadi ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Screening Method ◽  
Thrombin Inhibitors ◽  
Coagulation Cascade ◽  
Oh Groups ◽  
Structure Activity Relationships ◽  
Thrombin Inhibition ◽  
Structure Activity

Thrombin, a key enzyme of the serine protease superfamily, plays an integral role in the blood coagulation cascade and thrombotic diseases. In view of this, it is worthwhile to establish a method to screen thrombin inhibitors (such as natural flavonoid-type inhibitors) as well as investigate their structure activity relationships. Virtual screening using molecular docking technique was used to screen 103 flavonoids. Out of this number, 42 target compounds were selected, and their inhibitory effects on thrombin assayed by chromogenic substrate method. The results indicated that the carbon-carbon double bond group at the C2, C3 sites and the carbonyl group at the C4 sites of flavones were essential for thrombin inhibition, whereas the methoxy and O-glycosyl groups reduced thrombin inhibition. Noteworthy, introduction of OH groups at different positions on flavonoids either decreased or increased anti-thrombin potential. Myricetin exhibited the highest inhibitory potential against thrombin with an IC50 value of 56 μM. Purposively, the established molecular docking virtual screening method is not limited to exploring flavonoid structure activity relationships to anti-thrombin activity but also usefully discovering other natural active constituents.

scholarly journals Galantamine-Curcumin Hybrids as Dual-Site Binding Acetylcholinesterase Inhibitors

Molecules ◽  
2020 ◽  
Vol 25 (15) ◽  
pp. 3341
Author(s):  
Georgi Stavrakov ◽  
Irena Philipova ◽  
Atanas Lukarski ◽  
Mariyana Atanasova ◽  
Dimitrina Zheleva ◽  
...  
Keyword(s):  
Amyloid Beta ◽  
Ache Activity ◽  
Combinatorial Library ◽  
Acetylcholinesterase Inhibitors ◽  
Aβ Oligomers ◽  
Ache Inhibitors ◽  
Adme Properties ◽  
Dual Site ◽  
Site Binding

Galantamine (GAL) and curcumin (CU) are alkaloids used to improve symptomatically neurodegenerative conditions like Alzheimer’s disease (AD). GAL acts mainly as an inhibitor of the enzyme acetylcholinesterase (AChE). CU binds to amyloid-beta (Aβ) oligomers and inhibits the formation of Aβ plaques. Here, we combine GAL core with CU fragments and design a combinatorial library of GAL-CU hybrids as dual-site binding AChE inhibitors. The designed hybrids are screened for optimal ADME properties and BBB permeability and docked on AChE. The 14 best performing compounds are synthesized and tested in vitro for neurotoxicity and anti-AChE activity. Five of them are less toxic than GAL and CU and show activities between 41 and 186 times higher than GAL.

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