scholarly journals Implication of Caspase-3 as a Common Therapeutic Target for Multineurodegenerative Disorders and Its Inhibition Using Nonpeptidyl Natural Compounds

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Saif Khan ◽  
Khurshid Ahmad ◽  
Eyad M. A. Alshammari ◽  
Mohd Adnan ◽  
Mohd Hassan Baig ◽  
...  
Keyword(s):  
Neurodegenerative Disorders ◽  
Therapeutic Target ◽  
Inhibitory Action ◽  
Caspase 3 ◽  
Scoring Function ◽  
Interaction Network ◽  
Natural Compounds ◽  
Drug Candidates ◽  
Fitness Score ◽  
Peptidyl Inhibitors

Caspase-3 has been identified as a key mediator of neuronal apoptosis. The present study identifies caspase-3 as a common player involved in the regulation of multineurodegenerative disorders, namely, Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS). The protein interaction network prepared using STRING database provides a strong evidence of caspase-3 interactions with the metabolic cascade of the said multineurodegenerative disorders, thus characterizing it as a potential therapeutic target for multiple neurodegenerative disorders.In silicomolecular docking of selected nonpeptidyl natural compounds against caspase-3 exposed potent leads against this common therapeutic target. Rosmarinic acid and curcumin proved to be the most promising ligands (leads) mimicking the inhibitory action of peptidyl inhibitors with the highest Gold fitness scores 57.38 and 53.51, respectively. These results were in close agreement with the fitness score predicted using X-score, a consensus based scoring function to calculate the binding affinity. Nonpeptidyl inhibitors of caspase-3 identified in the present study expeditiously mimic the inhibitory action of the previously identified peptidyl inhibitors. Since, nonpeptidyl inhibitors are preferred drug candidates, hence, discovery of natural compounds as nonpeptidyl inhibitors is a significant transition towards feasible drug development for neurodegenerative disorders.

Possible antivirulent activity of some agents against clinical isolates of Pseudomonas aeruginosa

2021 ◽  
Vol 30 (2) ◽  
pp. 1-8
Author(s):  
Ahmad O. Rifai ◽  
Abeer M. Abd El-Aziz ◽  
Hany I. Kenawy
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Quorum Sensing ◽  
Virulence Factors ◽  
Therapeutic Target ◽  
Inhibitory Action ◽  
Antibacterial Agents ◽  
Mechanisms Of Resistance ◽  
Life Threatening ◽  
Pheniramine Maleate ◽  
Pyocyanin Production

Background: Pseudomonas aeruginosa has developed different mechanisms of resistance against antibiotics and became one of the most life-threatening pathogens. Fighting against its virulence Factors are an alternative therapeutic target. Objective: This study was directed towards the investigation of anti-quorum sensing activity and inhibitory action on virulence factors of different agents including antibacterial agents to which Pseudomonas aeruginosa isolates are resistant and non-antibacterial agents. Methodology: Anti-quorum sensing activity of ceftriaxone, ceftazidime (CAZ), cefepime (FEP), vancomycin (VA), paracetamol (PA), and pheniramine maleate (PHE) investigated as well as their ability to reduce other virulence factors including protease, hemolysin, and pyocyanin production. Results: This study showed that 3rd and 4th generations cephalosporins could be used as anti-quorum sensing agents effectively in the treatment of Pseudomonas aeruginosa infections, however, vancomycin, paracetamol, and pheniramine maleate had no effect on inhibiting the studied virulence factors. Conclusion: From our study we conclude that although cephalosporins at the used concentrations did not show anti-pseudomonal activity they were effective as anti virulent agents that could be utilized in therapeutically in controlling Pseudomonas aeruginosa infections.

The cytoskeleton as a novel therapeutic target for old neurodegenerative disorders

2016 ◽  
Vol 141 ◽  
pp. 61-82 ◽  
Author(s):  
Jessica Eira ◽  
Catarina Santos Silva ◽  
Mónica Mendes Sousa ◽  
Márcia Almeida Liz
Keyword(s):  
Neurodegenerative Disorders ◽  
Therapeutic Target ◽  
Novel Therapeutic

scholarly journals Selective autophagy as a potential therapeutic target for neurodegenerative disorders

2018 ◽  
Vol 17 (9) ◽  
pp. 802-815 ◽  
Author(s):  
Aurora Scrivo ◽  
Mathieu Bourdenx ◽  
Olatz Pampliega ◽  
Ana Maria Cuervo
Keyword(s):  
Neurodegenerative Disorders ◽  
Therapeutic Target ◽  
Potential Therapeutic Target ◽  
Selective Autophagy

IRAK4 Inhibition Attenuates Interleukin‐1‐Induced Astrogliosis: A Potential Therapeutic Target for Neurodegenerative Disorders?

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Evan L. Reeder ◽  
Sean M. Collins ◽  
Poornima Gopalan ◽  
Sophia V. Norman ◽  
Christopher J. O'Connell ◽  
...  
Keyword(s):  
Neurodegenerative Disorders ◽  
Therapeutic Target ◽  
Interleukin 1 ◽  
Potential Therapeutic Target

scholarly journals Interaction of Glucagon G-Protein Coupled Receptor with Known Natural Antidiabetic Compounds: MultiscoringIn SilicoApproach

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
M. H. Baig ◽  
K. Ahmad ◽  
Q. Hasan ◽  
M. K. A. Khan ◽  
N. S. Rao ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
G Protein ◽  
Scoring Function ◽  
Natural Compounds ◽  
G Protein Coupled Receptors ◽  
Binding Potential ◽  
Glucagon Receptor ◽  
Class B ◽  
G Protein Coupled

Glucagon receptor (GCGR) is a secretin-like (class B) family of G-protein coupled receptors (GPCRs) in humans that plays an important role in elevating the glucose concentration in blood and has thus become one of the promising therapeutic targets for treatment of type 2 diabetes mellitus. GCGR based inhibitors for the treatment of type 2 diabetes are either glucagon neutralizers or small molecular antagonists. Management of diabetes without any side effects is still a challenge to the medical system, and the search for a new and effective natural GCGR antagonist is an important area for the treatment of type 2 diabetes. In the present study, a number of natural compounds containing antidiabetic properties were selected from the literature and their binding potential against GCGR was determined using molecular docking and otherin silicoapproaches. Among all selected natural compounds, curcumin was found to be the most effective compound against GCGR followed by amorfrutin 1 and 4-hydroxyderricin. These compounds were rescored to confirm the accuracy of binding using another scoring function (x-score). The final conclusions were drawn based on the results obtained from the GOLD andx-score. Further experiments were conducted to identify the atomic level interactions of selected compounds with GCGR.

scholarly journals Computational screening for potential drug candidates against the SARS-CoV-2 main protease

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 514 ◽  
Author(s):  
Bruno Silva Andrade ◽  
Preetam Ghosh ◽  
Debmalya Barh ◽  
Sandeep Tiwari ◽  
Raner José Santana Silva ◽  
...  
Keyword(s):  
Natural Compounds ◽  
Potential Drug ◽  
Drug Candidates ◽  
Positive Effects ◽  
Computational Screening ◽  
Main Protease ◽  
Zinc Database ◽  
Structural Assembly

Background: SARS-CoV-2 is the causal agent of the current coronavirus disease 2019 (COVID-19) pandemic. They are enveloped, positive-sense, single-stranded RNA viruses of the Coronaviridae family. Proteases of SARS-CoV-2 are necessary for viral replication, structural assembly, and pathogenicity. The approximately 33.8 kDa Mpro protease of SARS-CoV-2 is a non-human homologue and is highly conserved among several coronaviruses, indicating that Mpro could be a potential drug target for Coronaviruses. Methods: Herein, we performed computational ligand screening of four pharmacophores (OEW, remdesivir, hydroxychloroquine and N3) that are presumed to have positive effects against SARS-CoV-2 Mpro protease (6LU7), and also screened 50,000 natural compounds from the ZINC Database dataset against this protease target. Results: We found 40 pharmacophore-like structures of natural compounds from diverse chemical classes that exhibited better affinity of docking as compared to the known ligands. The 11 best selected ligands, namely ZINC1845382, ZINC1875405, ZINC2092396, ZINC2104424, ZINC44018332, ZINC2101723, ZINC2094526, ZINC2094304, ZINC2104482, ZINC3984030, and ZINC1531664, are mainly classified as beta-carboline, alkaloids, and polyflavonoids, and all displayed interactions with dyad CYS145 and HIS41 from the protease pocket in a similar way as other known ligands. Conclusions: Our results suggest that these 11 molecules could be effective against SARS-CoV-2 protease and may be subsequently tested in vitro and in vivo to develop novel drugs against this virus.

Neutralization of SARS-CoV-2 Spike Protein via Natural Compounds: A Multilayered High Throughput Virtual Screening Approach

2020 ◽  
Vol 26 (41) ◽  
pp. 5300-5309 ◽  
Author(s):  
Anupam Dhasmana ◽  
Vivek K. Kashyap ◽  
Swati Dhasmana ◽  
Sudhir Kotnala ◽  
Shafiul Haque ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Digital Libraries ◽  
Methodological Approach ◽  
Natural Compounds ◽  
Therapeutic Interventions ◽  
Spike Protein ◽  
Human Society ◽  
Emerging Viruses ◽  
Screening Process ◽  
Drug Candidates

Background: Previously human society has faced various unprecedented pandemics in the history and viruses have majorly held the responsibilities of those outbreaks. Furthermore, due to amplified global connection and speedy modernization, epidemic outbreaks caused by novel and re-emerging viruses signify potential risk to community health. Despite great advancements in immunization and drug discovery processes, various viruses still lack prophylactic vaccines and efficient antiviral therapies. Although, vaccine is a prophylaxes option, but it cannot be applied to infected patients, hence therapeutic interventions are urgently needed to control the ongoing global SARS- CoV-2 pandemic condition. To spot the novel antiviral therapy is of decisive importance and Mother Nature is an excellent source for such discoveries. Methodology: In this article, prompt high through-put virtual screening for vetting the best possible drug candidates from natural compounds’ databases has been implemented. Herein, time tested rigorous multi-layered drug screening process to narrow down 66,969 natural compounds for the identification of potential lead(s) is implemented. Druggability parameters, different docking approaches and neutralization tendency of the natural products were employed in this study to screen the best possible natural compounds from the digital libraries. Conclusion: The results of this study conclude that compounds PALA and HMCA are potential inhibitors of SARS-CoV-2 spike protein and can be further explored for experimental validation. Overall, the methodological approach reported in this article can be suitably used to find the potential drug candidates against SARS-CoV2 in the burning situation of COVID-19 with less expenditure and a concise span of time.

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