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ISSN 2063-5346
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A Machine Learning Method for Prediction of DNA Binding Proteins

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Abstract

DNA binding proteins attach to DNA. Most of the important biological functions including modulating protein creation, controlling cell division and cell growth, and transcription are performed by these DNA binding proteins. So, it is very important to know what type of protein it is and what instructions it contains for building and maintaining the human cells. Therefore, using DNA binding proteins, diseases like cancers and genetic diseases can be cured by developing some essential drugs against these diseases. Some examples of DNA binding proteins are transcription factors that bind to particular area in the DNA for modulating transcription. Transcription is the operation of duplicating DNA to RNA. Identification of DNA binding protein by efficient methods with great performance is a very challenging task for researchers. Very costly and more time consuming experimental methods including X-ray crystallography[14], filter binding assays [18], chromatin immuno precipitation on microarrays [12], genetic analysis [19] etc. exist. But, nowadays researchers apply computational methods that are less time consuming and also inexpensive for the prediction of DNA binding protein [10].

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