Computational biology is an interdisciplinary field that applies data analysis, mathematical modeling, and computational techniques to solve biological problems. This field encompasses a broad range of activities, from analyzing sequences of DNA, RNA, and proteins to understanding the structural properties of molecules and predicting their functions. It also involves modeling complex biological systems, including cellular pathways, regulatory networks, and ecological systems. Computational biology is essential for interpreting the vast amounts of data generated by modern experimental techniques, such as genomics, proteomics, and high-throughput screening. The insights gained through computational biology can lead to breakthroughs in understanding diseases, developing drugs, and designing new biological systems. This discipline relies heavily on algorithms, statistical methods, and the use of both existing software tools and the development of new computational methods tailored to specific biological questions. It is a cornerstone of systems biology and plays a crucial role in biotechnology and medicine.
The brain exhibits structural criticality near phase transitions, consistent across species, potentially guiding the development of new brain models. When a magnet is heated, it…
A unique partnership at Salk leverages the deep learning software known as SLEAP to study plant characteristics, speeding up the development of plants that can…
AI analyzes accessible data to pinpoint genetic modifications that alter cellular activity. Advances in gene sequencing technology and computing power have significantly increased the availability…
Scientists create an innovative technique for rapid prediction of the morphology of sugar coats on clinically relevant proteins. Proteins play essential roles in cell survival…
In a new paper in WIREs Computational Molecular Science, researchers from clinical stage artificial intelligence (AI)-driven drug discovery company Insilico Medicine (“Insilico”) demonstrate how quantum…
A new study suggests different species may rely on a shared principle for neural network formation. In all species, brain function relies on an intricate…
Computational biologists harness machine learning to make sense of immune system data. Immune system researchers have designed a computational tool to boost pandemic preparedness. Scientists…
In a simple game that humans typically ace, mice learn the winning strategy, too, but refuse to commit to it, new research shows. Neuroscience discoveries…
The dynamic interplay where high-performance computing converges with biophysical exploration is pushing the frontiers of knowledge and catalyzing a new era of unprecedented discoveries in…
Recent findings about collagen, our body’s most abundant protein, reveal that its sacrificial bonds snap more quickly than the basic structure, thereby protecting the tissue…
Researchers from Cold Spring Harbor Laboratory (CSHL) have recently revised the commonly held genetic assumptions about autism spectrum disorder (ASD). For many years, scientists believed…
The identification of separate neural pathways governing itch-scratch responses and chronic itch conditions in mice lays the groundwork for the development of novel therapeutic targets….
The Mathematics of Cell Boundary “Ruggedness” Researchers have uncovered both the mathematical and biological mechanism behind the rugged structures at cell boundaries found in tissues…
A researcher at Rice University discovers a critical piece of information in discarded data that redirects their research in the right direction. Regular dental check-ups…
Activation and expression of genes reveal similarities in cell patterns based on type and function throughout the tissues and organs. Understanding these patterns improves our…
A new technique has been developed to track and measure the movement of skeletons in freely moving rodents. How can researchers accurately and precisely measure…
Expanded library of known variants, new research efforts aid the fight against fentanyl. While COVID-19 has dominated the news for the last two years, a…
An analysis of 240,000 yeast strains reveals the complex interplay between large-impact genetic markers and genetic background. Enormous dataset presents unprecedented detail of genotype-to-phenotype map…