2019
DOI: 10.3390/ijms20184612
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Application of the SwissDrugDesign Online Resources in Virtual Screening

Abstract: SwissDrugDesign is an important initiative led by the Molecular Modeling Group of the SIB Swiss Institute of Bioinformatics. This project provides a collection of freely available online tools for computer-aided drug design. Some of these web-based methods, i.e., SwissSimilarity and SwissTargetPrediction, were especially developed to perform virtual screening, while others such as SwissADME, SwissDock, SwissParam and SwissBioisostere can find applications in related activities. The present review aims at provi… Show more

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Cited by 73 publications
(53 citation statements)
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“…Drugability assessment was performed with the use of SwissADME software powered by ChemAxon [ 52 , 53 ]. At first, step mol files were translated into Simplified Molecular Input Line Entry Specification by Marvin JS [ 54 ].…”
Section: Methodsmentioning
confidence: 99%
“…Drugability assessment was performed with the use of SwissADME software powered by ChemAxon [ 52 , 53 ]. At first, step mol files were translated into Simplified Molecular Input Line Entry Specification by Marvin JS [ 54 ].…”
Section: Methodsmentioning
confidence: 99%
“…1 The chemical components that meet both of the requirements OB ≥ 30%, DL ≥ 0.18, were retained as candidate active ingredients ( Tao et al, 2013 ). The targets of candidate active ingredients were obtained from Swiss Target Prediction 2 ( Daina and Zoete, 2019 ). Species were selected as “Homo sapiens” and the targets with probability greater than 0 were predicted as the putative targets.…”
Section: Methodsmentioning
confidence: 99%
“…In the present study, the putative molecular targets of the cathine, cathinone, and both cathedulins were obtained using SwissTargetPrediction ( http://www.swisstargetprediction.ch/ ) ( Gfeller et al, 2014 ) ( Supplementary Figure S1 ). Canonical and isomeric SMILES of cathine, cathinone, catheduline K2, and catheduline E5 were used as input sequences in the SwissTargetPrediction webserver to virtually screen the molecular targets ( Daina and Zoete, 2019 ). The SwissTargetPrediction virtual screening tool uses the "similarity principle" to predict the most probable targets of bioactive molecules such as cathine, cathinone, catheduline K2, and catheduline E5 ( Gfeller et al, 2013 ; Gfeller et al, 2014 ).…”
Section: Methodsmentioning
confidence: 99%
“…The SwissTargetPrediction virtual screening tool uses the "similarity principle" to predict the most probable targets of bioactive molecules such as cathine, cathinone, catheduline K2, and catheduline E5 ( Gfeller et al, 2013 ; Gfeller et al, 2014 ). In this virtual reverse screening tool, the putative binding predictions are accomplished from 376,342 experimentally active analogous compounds in 2D and 3D that strongly interact with 3,068 well-recognized protein targets ( Huang et al, 2018 ; Daina and Zoete, 2019 ) . In the latest version of the SwissTargetPrediction, the dataset is based on ChEMBL23, and putative protein targets are ranked based on a score that merges both 2D and 3D similarity values of an active molecule to the query molecules such as cathine, cathinone, catheduline K2, and catheduline E5 ( Daina et al, 2019 ).…”
Section: Methodsmentioning
confidence: 99%