ProB-site utilizes sequential information of a protein to predict its binding sites. Hence, a deep neural network-based model, ProB-site, is proposed. The current efficiency of interaction-site prediction still has growth potential. Various techniques have been explored in the literature using the sequential information of amino acids in a protein sequence, including machine learning and deep learning techniques. Alternatively, computational methods are considered viable means to achieve this crucial task. Various experimental methods have been employed for this purpose however, their application is limited by their cost and time consumption. This information can help develop a new drug against diseases. Protein–protein interactions (PPIs) are responsible for various essential biological processes.
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