Nitric oxide, a principal component in the production of tropospheric ozone, results from the combustion of hydrocarbons.  For this work, a bioinformatics approach was used to predict catalytic binding motifs for nitric oxide.  Sequence and structural alignment of  protein crystal structures were used to produce two distinct binding patterns.  Binding energies, pKa, pI and hydroapathies of amino acids with nitric acid were collected from the Motif database.  The interaction energies of nitric acids with biological ions have also been described.

Bioinformatics approach for the prediction of nitric oxide activation

247th National Meeting (2014)

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