The impact of in silico screening in the discovery of novel and safer drug candidates

2017 ◽  
Vol 175 ◽  
pp. 47-66 ◽  
Author(s):  
Didier Rognan
Author(s):  
Martin Balouch ◽  
Martin Šrejber ◽  
Marek Šoltys ◽  
Petra Janská ◽  
František Štěpánek ◽  
...  

In silico methodology for compound suitability for liposomal formulation has been developed. Water–lipid partitioning and permeation of candidate compounds from the DrugBank were calculated, and the most appropriate targets validated experimentally.


Author(s):  
Chi Xu ◽  
Zunhui Ke ◽  
Chuandong Liu ◽  
Zhihao Wang ◽  
Denghui Liu ◽  
...  

<p>The emergence of the new coronavirus (nCoV-19) has brought global impact on human health, whilst the interaction between the virus and the host is the foundation of the disease. The viral genome codes a cluster of proteins, each with a unique function in the event of host invasion or viral development. Under current adverse situation, we employ virtual screening tools in searching for drugs and nature products which have been already deposited in the DrugBank in attempt to accelerate the drug discovery process. This study provides an initial evaluation of current drug candidates from various reports using our systemic in silico drug screening based on structures of viral proteins and human ACE2 receptor. Besides, we built an interactive online platform (<a href="https://shennongproject.com:11443/#/home">https://shennongproject.com:11443/#/home</a>) for browsing these results with the visual display of small molecule docked on its potential target protein, without installing any specialized structural software. With continuous maintenance and incorporation of data from laboratory works, it may serve not only as the assessment tool for the new drug discovery but also an educational website to meet general interest from the public.</p>


SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Raghvendra Singh ◽  
Birendra Singh Yadav ◽  
Swati Singh ◽  
Paras Nath Pandey ◽  
Ashutosh Mani

Author(s):  
Chi Xu ◽  
Zunhui Ke ◽  
Chuandong Liu ◽  
Zhihao Wang ◽  
Denghui Liu ◽  
...  

<p>The emergence of the new coronavirus (nCoV-19) has brought global impact on human health, whilst the interaction between the virus and the host is the foundation of the disease. The viral genome codes a cluster of proteins, each with a unique function in the event of host invasion or viral development. Under current adverse situation, we employ virtual screening tools in searching for drugs and nature products which have been already deposited in the DrugBank in attempt to accelerate the drug discovery process. This study provides an initial evaluation of current drug candidates from various reports using our systemic in silico drug screening based on structures of viral proteins and human ACE2 receptor. Besides, we built an interactive online platform (<a href="https://shennongproject.com:11443/#/home">https://shennongproject.com:11443/#/home</a>) for browsing these results with the visual display of small molecule docked on its potential target protein, without installing any specialized structural software. With continuous maintenance and incorporation of data from laboratory works, it may serve not only as the assessment tool for the new drug discovery but also an educational website to meet general interest from the public.</p>


2020 ◽  
Vol 19 (5) ◽  
pp. 1045-1052
Author(s):  
Shazi Shakil ◽  
Adel M. Abuzenadah ◽  
Suzan M. Attar ◽  
Omar Fathaldin ◽  
Rajaa Al-Raddadi ◽  
...  

Purpose: To identify an improved lead molecule for the human dihydrofolate reductase (DHFR) inhibition that ‘sits’ in the same binding cavity as methotrexate by high throughput computationalscreening.Methods: The 3-D structure of the DHFR binding site was examined using ‘CASTp3.0’. Structure based in silico screening of about 5 million drug candidates housed in the MCULE database was performed. The obtained molecule-hits were ranked in accordance with their VINA scores, made to pass through drug-likeness filters, ΔG cut-off criterion, toxicity-checker and finally ‘zero RO5 criterion’.Results: The ‘top molecule’, namely, 4-amino-N'-(benzoyloxy)-N-(2,4-dimethylphenyl)-1,2,5-oxadiazole- 3-carboximidamide, displayed robust binding with human DHFR through 21 amino acid residues (ΔG = - 9.6 kcal/mol) while 10 of these residues were the same as those displayed by ‘methotrexate binding interactions’. It passed through relevant drug screening filters including the ‘Toxicity Checker’.Conclusion: This research work describes the molecular interaction of human DHFR with an improved lead molecule named, 4-amino- N’-(benzoyloxy)-N-(2,4-dimethylphenyl)-1,2,5-oxadiazole-3- carboximidamide, with a ΔG of -9.6 kcal/mol, thus satisfying adequate ADME features for further in vitro and in vivo validation in the context of rheumatoid arthritis. Keywords: Dihydrofolate reductase, In silico screening, Methotrexate, Rheumatoid arthritis, DHFR


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>


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