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Structural bioinformatics is the branch of bioinformatics that is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structures such as comparisons of overall folds and local motifs, principles of molecular ...
The term "branch length" typically refers to the number of these changes. If the "branch lengths" of the tree measure these changes, we also call the tree a phylogram. Regular phylogenetic tree – Generally called a dendrogram , it is a diagram with straight lines representing a tree.
Biotechnology is the research and development in the laboratory using bioinformatics for exploration, extraction, exploitation, and production from any living organisms and any source of biomass by means of biochemical engineering where high value-added products could be planned (reproduced by biosynthesis, for example), forecasted, formulated ...
Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases. Biological database design, development, and long-term management is a core area of the discipline of bioinformatics. [3]
In academia, computational immunology is a field of science that encompasses high-throughput genomic and bioinformatics approaches to immunology.The field's main aim is to convert immunological data into computational problems, solve these problems using mathematical and computational approaches and then convert these results into immunologically meaningful interpretations.
The main idea behind the field is to integrate different informatics branches (e.g. bioinformatics, chemoinformatics, immunoinformatics, etc.) into a single platform, resulting in a seamless process of drug discovery. The first reference of the term "Pharmacoinformatics" can be found in the year of 1993. [1]
Bioinformatics and computational biology are interdisciplinary fields of research, development and application of algorithms, computational and statistical methods for management and analysis of biological data, and for solving basic biological problems.
Whereas traditional bioinformatics is a wide subject it has a large focus on molecular biology, pharmaceutical bioinformatics more specifically targets chemical-biological interaction and exploratory focus of chemical and biological interactors using e.g. cheminformatics and chemometrics methods.