A chemometric approach towards transmembrane region prediction of protein sequences
نویسندگان
چکیده
Transmembrane proteins play vital roles in maintaining the normal cell physiology. They are also important as potential drug targets. Therefore, there is an immense academic and pharmaceutical interest in these proteins. In our lab, we have tried to use chemometric approach along with other computational and experimental methods towards elucidation of transmembrane protein structures and functional mechanisms. Here we present a data-driven chemometric classification model based on mathematical descriptors to discriminate between transmembrane and non-transmembrane regions of protein sequences. The model is then utilized to predict the transmembrane regions of specific proteins, and also to differentiate between transmembrane and globular proteins.
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