Protein structure prediction is the major problem in the field of bioinformatics or Computation biology. Recently many researchers used various data mining and machine learning tool for protein structure prediction. My intention is to use model based (i.e., supervised learning) approach for protein secondary structure prediction and our objective is to enhance the prediction of 1D and 2D protei...

The recent advances in the prediction of intrinsically disordered proteins and the use of protein disorder prediction in the fields of molecular biology and bioinformatics are reviewed here, especially with regard to protein function. First, a close look is taken at intrinsically disordered proteins and then at the methods used for their experimental characterization. Next, the major statistica...

he purpose of this study was to analyze the genomic information glycoprotein gene rabies virus (RABV) in several countries Asia. The genomics vaccine strain and some local isolates were retrieved from GeneBank® (National Center for Biotechnology Information, USA). Ten informations are consist ERA virus, two viruses Indonesia, a Myanmar, India, Nepal, South Korea, Japan, Sri Lanka, Iran. This bi...

Bioinformatics synergizes biology, computer science, and statistics is further propelled by the integration of deep learning natural language processing (NLP). This analysis extensively explores applications fine-tuned models within bioinformatics, providing empirical evidence unique perspectives on impact, challenges, limitations in this field. The broad scope includes biomedical literature an...

The application of machine learning techniques to bioinformatics problems has become increasingly popular in recent years. Of particular interest are probabilistic graphical models since they provide a concise representation for inferring models from data. Current applications include the learning of gene regulatory networks (Friedman, 2004) and protein function prediction. Bayesian networks ar...

عفونت نهفته بیماری هپاتیت b به عنوان عفونت با dna hbv قابل شناسایی و آنتی‏ژن سطحی hbsag غیرقابل شناسایی در خون بیماران است. عقیده بر این است که شناسایی ویروس هپاتیت b به وسیله میزبان در منطقه a از آنتی ژن سطحی (hbsag) انجام می‏شود. اما به دلیل فقدان ساختار سه بعدی hbsag، مدرکی برای این فرضیه وجود ندارد. پیشگویی ساختار سه بعدی توالی موتان یافته و وحشی از توالی اولیه، تغییرات ساختاری را آشکار می‏...