Biotechnology combines biology and engineering to solve problems and create new products. It draws on , , , and more to understand living things at their most basic level.
Engineering and tech play a big role too. , , and help design new tools and analyze complex data. These fields work together to push biotech forward.
Biological Sciences
Molecular Biology and Biochemistry
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Molecular biology studies the structure, function, and interactions of biological molecules (nucleic acids, proteins, lipids, carbohydrates)
Focuses on understanding the molecular basis of biological processes, such as gene expression, protein synthesis, and cellular signaling
investigates the chemical processes that occur within living organisms
Examines the structure and function of biomolecules, metabolic pathways, and energy production mechanisms (glycolysis, citric acid cycle, oxidative phosphorylation)
Genetics and Microbiology
Genetics studies the inheritance and variation of traits in living organisms
Explores the structure, function, and transmission of genes from parent to offspring
Investigates genetic disorders, gene mutations, and the role of genetics in evolution
Microbiology focuses on the study of microorganisms, including bacteria, viruses, fungi, and protozoa
Examines the structure, function, and behavior of microorganisms and their interactions with other organisms and the environment
Plays a crucial role in understanding infectious diseases, developing antibiotics and vaccines, and harnessing microorganisms for biotechnological applications (biofuels, bioremediation)
Engineering and Technology
Bioengineering and Biophysics
Bioengineering applies engineering principles and design concepts to solve biological problems and create new technologies
Develops medical devices, prosthetics, biomaterials, and drug delivery systems to improve healthcare and quality of life
Biophysics uses the principles of physics to study biological systems and processes
Investigates the physical properties of biomolecules, cellular structures, and biological tissues (membrane dynamics, protein folding, biomechanics)
Computational Biology
Computational biology uses mathematical and computational methods to analyze and model biological systems and data
Develops algorithms and software tools to process and interpret large-scale biological datasets (genomic sequences, protein structures, metabolic networks)
Enables the prediction of gene function, protein-protein interactions, and the behavior of complex biological systems
Plays a critical role in , , and personalized medicine
Integrative Approaches
Systems Biology
Systems biology takes a holistic approach to understanding biological systems by integrating data from multiple disciplines (molecular biology, biochemistry, genetics, computational biology)
Aims to understand the complex interactions and emergent properties of biological systems at different levels of organization (molecular, cellular, tissue, organ, organismal)
Uses mathematical modeling and computational simulations to predict the behavior of biological systems and identify key regulatory mechanisms
Enables the development of targeted therapies, personalized medicine, and the rational design of biological systems for biotechnological applications (synthetic biology)