Efficient Prediction of DNA-Binding Proteins using Machine Learning

Efficient Prediction of DNA-Binding Proteins Using Machine Learning

DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and include three important components: transcription factors; nucleases, and histones. DNA-binding proteins also perform important roles in many types of cellular activities. In this paper we describe machine learning systems for the prediction of DNAbinding proteins where a Support Vector Machine and...

Kernel-based machine learning protocol for predicting DNA-binding proteins

DNA-binding proteins (DNA-BPs) play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Attempts have been made to identify DNA-BPs based on their sequence and structural information with moderate accuracy. Here we develop a machine learning protocol for the prediction of DNA-BPs where the classifier is Support Vector Machines ...

Prediction of DNA-binding sites in proteins using evolutionary profiles

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Prediction of EF-hand calcium-binding proteins and identification of calcium-binding regions using machine learning techniques

Predicting calcium binding proteins and identifying calcium-binding sites is an important problem in the field of proteomics. Most of the currently used methods employ structural protein data to predict calcium-binding sites. Here we present a method developed to predict calcium-binding proteins and identify calcium-binding sites from protein sequence data using machine learning techniques such...