De novo structure determination of proteins is a significant research issue of bioinformatics. Biochemical procedures for protein structure determination are costly. Use of different pattern classification techniques are proved to ease this task. In this article, the secondary structure prediction task has been mapped into a three-class problem of pattern classification, where the classes are h...

We address the important bioinformatics problem of predicting protein function from a protein's primary sequence. We consider the functional classification of G-Protein-Coupled Receptors (GPCRs), whose functions are specified in a class hierarchy. We tackle this task using a novel top-down hierarchical classification system where, for each node in the class hierarchy, the predictor attributes t...

DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims to give an introduction into Structural Bioinformatics, which is where the previous topics meet to explore three dimensional protein structures through comput...

There are many challenges in the field of public health sciences. Rational decisions are required in order to treat different diseases, gain knowledge and wealth regarding research, and produce biological or synthetic products. Various advances in the basic laboratory science, computer science, and the engineering of biological production processes can help solve the occurring problems. Bioinfo...

Bioinformatics has gradually received widespread attention and shown the characteristics of a large amount calculation high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics improve efficiency processing problems. Big data artificial intelligence technologies have supporting achieved certain results field bioinformatics. Introduced application basis big bioinf...

objective(s):brucellosis is a well-known domestic animal infectious disease, which is caused by brucella bacterium. groel antigen increases brucella survival and is one of the major antigens that stimulates the immune system. hence, the objective of the present study was cloning and bioinformatics analysis of groel gene. materials and methods: the full-length open reading frame of this gene was...

Bioinformatics is a relatively new field concerned with the computational analysis and prediction of properties of biomolecules, DNA, RNA, and proteins, in particular, on a genomic/proteomic scale. Machine learning models play increasingly important roles in development of novel methodologies, summarization, and high-throughput analysis in the bioinformatics field. Advances in the related area,...

In this chapter, we present a brief overview of bioinformatics and computational intelligence (CI) methods including artificial neural networks, genetic algorithms, and fuzzy systems. A number of representative applications of CI methods in bioinformatics are discussed, including CI methods for gene expression analysis, for multiple sequence alignment, for protein-protein interaction prediction...