» computational biology and systems biology are same?

Computational biology and systems biology are related fields but they have distinct focuses and approaches.

Computational biology refers to the use of computational methods, algorithms, and tools to analyze biological data, model biological systems, and solve biological problems. It involves the application of computer science, mathematics, and statistics to understand biological processes and systems. Computational biologists develop and apply computational models and algorithms to study various aspects of biology, such as DNA and protein sequences, gene expression, protein structure, and evolution. The primary goal of computational biology is to gain insights into biological systems through computational analysis.

Systems biology, on the other hand, is an interdisciplinary field that aims to understand the complex interactions and behaviors of biological systems as a whole. It takes a holistic approach, integrating experimental data, computational modeling, and theoretical analysis to study how components within a biological system interact and give rise to the emergent properties of the system. Systems biology focuses on understanding the dynamics and functioning of biological networks, such as metabolic pathways, gene regulatory networks, and signaling pathways. It often involves the use of computational tools and methods to model and simulate these networks, as well as analyze high-throughput data.

In summary, computational biology primarily focuses on the development and application of computational methods for biological research, while systems biology aims to understand the behavior of biological systems as a whole, often utilizing computational tools and approaches. While there is overlap between the two fields, they have distinct emphases and objectives.