By simulating the life cycle of a minimal bacterial cell—from DNA replication to protein translation to metabolism and cell ...
Graham Johnson, a computational biologist and scientific illustrator at the Allen Institute for Cell Science, recalls fantasizing at a lunch table, more than 15 years ago, about a computer model of a ...
Researchers simulated nearly every molecule in a bacterial cell — and then watched the cell grow and reproduce.
Researchers have developed a human intestinal cell model that closely mimics the structure and function of the human gut, enabling more precise prediction of drug-induced gastrointestinal toxicity ...
In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...
Proteins are the infinitely varied chemicals that make cells work, and science has a pretty good idea how they are made. But a critical aspect underlying the machinery of protein manufacture has long ...
Advanced 3D cell models recreate the complexity of human tissues, enabling researchers to examine tumor progression, probe neurological disorders, and assess therapeutic candidates. By capturing the ...
Mor than 800 million people worldwide are living with diabetes, according to World Health Organization (WHO) estimates, with numbers steadily increasing. Diabetic patients experience abnormally high ...
Let’s face it: Nobody pursues a career in science for the joy of culturing cells. But this thankless and time-intensive task is the backbone of biological research. When it’s done extremely well, the ...
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Intestine-mimicking cell model accurately predicts drug toxicity
A cell model that replicates the structure and function of the human intestine has been developed, creating an evaluation platform capable of more accurately predicting adverse effects of new drugs.
Precision medicine models often rely on data from Northern European populations, leading to treatment inequities. Genetic diversity is crucial for understanding disease risk and treatment efficacy, as ...
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