Applications

Computational biology is a branch of biology involving the application of computers and computer science to understand and model the structures and processes of life. It entails the use of computational methods (e.g., algorithms) to represent and simulate biological systems, and to interpret experimental data, often on an enormous scale. Computational biology includes aspects of bioinformatics, also a science that uses biological data to develop algorithms or models. Experts at ComputaBio can solve different computational biology problems for you. We conduct services in molecular dynamics simulation, drug design, virtual screening, quantum chemical calculations, and etc.

Applications

Computational biology initially focused on studying the sequence and structure of biological molecules, often in an evolutionary context. Biochemical, regulatory, and genetic pathways are highly branched and interleaved, as well as dynamic, calling for sophisticated computational tools for their modeling and analysis. Moreover, modern technology platforms for the rapid, automated (high-throughput) generation of biological data have allowed for an extension from traditional hypothesis-driven experimentation to data-driven analysis, by which computational experiments can be performed on genome-wide databases of unprecedented scale. Subsequently, the power of computers and computer science methodologies have integrated with the study of biology in many aspects. Some common applications are as follows:

Applications

  • Computational anatomy
  • Computational biomodeling
  • Computational genomics
  • Computational neuroscience
  • Computational pharmacology
  • Computational evolutionary biology
  • Cancer computational biology

Related Fields

Computational biology, bioinformatics, and mathematical biology are all interdisciplinary methods of life sciences. These methods are derived from quantitative disciplines such as mathematics and information science. NIH describes computational/mathematical biology as the use of computational/mathematical methods to solve theoretical and experimental problems in biology, while defining bioinformatics as the application of information science to understanding complex life science data.

Computational biology: the development and application of data analysis and theoretical methods, mathematical modeling and computational simulation techniques in the research of biology, behavior and social systems.

Bioinformatics: Research, development or application of computing tools and methods to expand the use of biological, medical, behavioral or health data, including data used to obtain, store, organize, archive, analyze or visualize such data.

Related Services:

ComputaBio' computational biology service can significantly reduce the cost of later experiments. Our computational biology provides accurate approximations of the behavior of real molecules and have proven to be very useful for understanding the different stages of drug development. If you are interested in our services, please contact us for more detailed information.

* It should be noted that our service is only used for research, not for clinical use.

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