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Nucleobase Sequence Based Building up of Reliable QSAR Models with The Index of Ideality Correlation using Monte Carlo Method.

08:00 EDT 14th August 2019 | BioPortfolio

Summary of "Nucleobase Sequence Based Building up of Reliable QSAR Models with The Index of Ideality Correlation using Monte Carlo Method."

This study describes in silico designing of aptamers against the influenza virus using Monte Carlo method. Aptamers are short, single-stranded oligonucleotides and these bind to an ample range of biologically important proteins which are related to many disease conditions. The affinities and specificities of aptamers are comparable to antibodies. In the medicinal chemistry, quantitative structure-activity relationship (QSAR) is an important skill which is used for drug design and development. To study the inhibitory activity of aptamers, we have developed QSAR models based on Monte Carlo method. The nucleobase sequence descriptors B, BB and BBB are used to generate the QSAR models. A number of statistical benchmarks together with index of ideality of correlation (IIC) is considered to validate the build QSAR models. Data set of 98 aptamers is divided into four random splits. The statistical criteria R = and CCC= of the validation set of split 3 are best, so the build QSAR model of split 3 is the paramount model. The aptamer fragment responsible for the promotors of endpoint increase and decrease are also determined. These fragments are applied to design new 9 aptamers from the lead aptamer APT01.

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This article was published in the following journal.

Name: Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Pages: 1-24

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