Identification of potential bivalent inhibitors from natural compounds for acetylcholinesterase through in silico screening using multiple pharmacophores

2013 ◽  
Vol 40 ◽  
pp. 72-79 ◽  
Author(s):  
V. Lakshmi ◽  
V. Santhosh Kannan ◽  
R. Boopathy
2020 ◽  
Author(s):  
Reda Ben Mrid ◽  
Najat Bouchmaa ◽  
Imad Kabach ◽  
Mansour Sobeh ◽  
Abdelmajid Zyad ◽  
...  

Abstract In the present study, we investigated natural compounds contained in Moroccan medicinal plants and that might be used as natural inhibitors of the novel coronavirus, SARS-CoV-2, that causes coronavirus disease 2019 (COVID-19). We first performed a literature search for natural inhibitors of SARS or MERS coronaviruses. We then selected natural compounds that have been biologically tested and confirmed to possess anti-coronavirus activity. Subsequently, we used a molecular docking to determine whether the selected molecules could interact with the virus proteins. The compounds selected from virtual screening were then subjected to an in-silico analysis of absorption, distribution, metabolism and excretion (ADME) properties to select only natural compounds that could be orally bioavailable. Thereafter, a second search has been launched to select Moroccan medicinal plants that contain at least 3 molecules from those natural compounds. As results, among 41 natural inhibitors of SARS or MERS coronaviruses, only 13 have been successfully passed the ADME filtering. These molecules, showed abilities to interact with the novel coronavirus as it was predicted. Using these molecules and based on the data extracted from literature, 29 Moroccan medicinal plants have been found to contain at least 3 of these coronavirus inhibitors. Therefore, the medicinal plants selected in this study might contain direct anti-SARS-CoV-2 compounds.


2021 ◽  
Vol 11 (6) ◽  
pp. 14173-14184

Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance, and it is hitherto incurable. Among different therapeutic modalities, glucose co-transporter (SGLT) inhibitors have gained prominence. In the current study, we have screened natural compounds as potential SGLT inhibitor and compared with conventional gliflozin drugs. We have selected human SGLT 1 and 2 sequences modeled by homology modeling using SWISS-MODEL server, stability analysis was performed in silico. We used CDOCKER to dock the selected gliflozin drugs and natural compounds with SGLT 1 and 2. We further checked adsorption, distribution, metabolism, excretion, and toxicity using ADMETSAR tools and identified Sophoraflavonone G as a potential natural compound with good binding energy and drug-like characteristics. The molecular dynamic simulation revealed sophoraflavonone G binds with SGLT2 and forms a stable complex.


2019 ◽  
Author(s):  
Veeren Chauhan ◽  
Mohamed M Elsutohy ◽  
C Patrick McClure ◽  
Will Irving ◽  
Neil Roddis ◽  
...  

<p>Enteroviruses are a ubiquitous mammalian pathogen that can produce mild to life-threatening disease. Bearing this in mind, we have developed a rapid, accurate and economical point-of-care biosensor that can detect a nucleic acid sequences conserved amongst 96% of all known enteroviruses. The biosensor harnesses the physicochemical properties of gold nanoparticles and aptamers to provide colourimetric, spectroscopic and lateral flow-based identification of an exclusive enteroviral RNA sequence (23 bases), which was identified through in silico screening. Aptamers were designed to demonstrate specific complementarity towards the target enteroviral RNA to produce aggregated gold-aptamer nanoconstructs. Conserved target enteroviral nucleic acid sequence (≥ 1x10<sup>-7</sup> M, ≥1.4×10<sup>-14</sup> g/mL), initiates gold-aptamer-nanoconstructs disaggregation and a signal transduction mechanism, producing a colourimetric and spectroscopic blueshift (544 nm (purple) > 524 nm (red)). Furthermore, lateral-flow-assays that utilise gold-aptamer-nanoconstructs were unaffected by contaminating human genomic DNA, demonstrated rapid detection of conserved target enteroviral nucleic acid sequence (< 60 s) and could be interpreted with a bespoke software and hardware electronic interface. We anticipate our methodology will translate in-silico screening of nucleic acid databases to a tangible enteroviral desktop detector, which could be readily translated to related organisms. This will pave-the-way forward in the clinical evaluation of disease and complement existing strategies at overcoming antimicrobial resistance.</p>


Author(s):  
Bichismita Sahu ◽  
Santosh Kumar Behera ◽  
Rudradip Das ◽  
Tanay Dalvi ◽  
Arnab Chowdhury ◽  
...  

Introduction: The outburst of the novel coronavirus COVID-19, at the end of December 2019 has turned itself into a pandemic taking a heavy toll on human lives. The causal agent being SARS-CoV-2, a member of the long-known Coronaviridae family, is a positive sense single-stranded enveloped virus and quite closely related to SARS-CoV. It has become the need of the hour to understand the pathophysiology of this disease, so that drugs, vaccines, treatment regimens and plausible therapeutic agents can be produced. Methods: In this regard, recent studies uncovered the fact that the viral genome of SARS-CoV-2 encodes nonstructural proteins like RNA dependent RNA polymerase (RdRp) which is an important tool for its transcription and replication process. A large number of nucleic acid based anti-viral drugs are being repurposed for treating COVID-19 targeting RdRp. Few of them are in the advanced stage of clinical trials including Remdesivir. While performing close investigation of the large set of nucleic acid based drugs, we were surprised to find that the synthetic nucleic acid backbone is explored very little or rare. Results: We have designed scaffolds derived from peptide nucleic acid (PNA) and subjected them for in-silico screening systematically. These designed molecules have demonstrated excellent binding towards RdRp. Compound 12 was found to possess similar binding affinity as Remdesivir with comparable pharmacokinetics. However, the in-silico toxicity prediction indicates compound 12 may be a superior molecule which can be explored further due to its excellent safety-profile with LD50 (12,000mg/kg) as opposed to Remdesivir (LD50 =1000mg/kg). Conclusion: Compound 12 falls in the safe category of class 6. Synthetic feasibility, equipotent binding and very low toxicity of this peptide nucleic acid derived compounds can serve as a leading scaffold to design, synthesize and evaluate many of similar compounds for the treatment of COVID-19.


Author(s):  
Dnyaneshwar Baswar ◽  
Abha Sharma ◽  
Awanish Mishra

Background: Alzheimer’s disease (AD), an irreversible complex neurodegenerative disorder, is most common type of dementia, with progressive loss of cholinergic neurons. Based on the multi- factorial etiology of Alzheimer’s disease, novel ligands strategy appears as up-coming approach for the development of newer molecules against AD. This study is envisaged to investigate anti-Alzheimer’s potential of 10 synthesized compounds. The screening of compounds (1-10) was carried out using in silico techniques. Methods: For in silico screening of physicochemical properties of compounds molinspiration property engine v.2018.03, Swiss ADME online web-server and pkCSM ADME were used. For pharmacodynamic prediction PASS software while toxicity profile of compounds were analyzed through ProTox-II online software. Simultaneously, molecular docking analysis was performed on mouse AChE enzyme (PDB ID:2JGE, obtained from RSCB PDB) using Auto Dock Tools 1.5.6. Results: Based on in silico studies, compound 9 and 10 have been found to have better drug likeness, LD50 value, and better anti-Alzheimer’s, nootropic activities. However, these compounds had poor blood brain barrier (BBB) permeability. Compound 4 and 9 were predicted with better docking score for AChE enzyme. Conclusion: The outcome of in silico studies have suggested, out of various substitutions at different positions of pyridoxine-carbamate, compound 9 have shown promising drug likeness, with better safety and efficacy profile for anti-Alzheimer’s activity. However, BBB permeability appears as one the major limitation of all these compounds. Further studies are required to confirm its biological activities.


2018 ◽  
Vol 12 (2) ◽  
pp. 181-190 ◽  
Author(s):  
Priya P. Panigrahi ◽  
Ramit Singla ◽  
Ankush Bansal ◽  
Moacyr Comar Junior ◽  
Vikas Jaitak ◽  
...  

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