Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to ...

Engineers and scientists have long been trying to use cells to manufacture molecules that humans need, like biofuel or medicine. Am algorithm created by a computer scientist aims to improve on that ...

If you've eaten vegan burgers that taste like meat or used synthetic collagen in your beauty routine - both products that are "grown" in the lab - then you've benefited from synthetic biology. It's a ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

Computer algorithms have been a helpful tool in biomedical research for decades, and their importance has been growing steadily over that time. But what we’re now experiencing is nothing short of a ...

A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), developed a machine-learning algorithm to study the behavior of proteins within ...

In the past decade computational biology has grown from a cottage industry with a handful of researchers to an attractive interdisciplinary field, catching the attention and imagination of many ...

Researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even when only limited data is available. Determining the ...

Scientists have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically. The innovation means scientists will not have to ...