First-ever biologically authentic computer model was completed of the HIV-1 virus liposome. Key finding from the simulations is the formation of sphingomyelin and cholesterol rich microdomains. HIV-1 is known to preferentially bud from regions of the host cell membrane where these constituents are in high abundance. Scientists are hopeful this basic research into viral envelopes…

The combination of mathematical modeling and experiments identifies the difference in molecular clockworks of the master and slave clock neurons in Drosophila. This solves the long-standing mystery of the molecular mechanisms underlying how the circadian (~24h) clock can exhibit paradoxical characteristics of robustness (strong rhythms), and plasticity (flexible adaption). The discovery of the molecular mechanism…

Atoms and molecules behave in a completely different way to macroscopic objects and each brick requires its own ‘instruction manual’. Scientists have now developed an artificial intelligence system that autonomously learns how to grip and move individual molecules using a scanning tunneling microscope. Rapid prototyping, the fast and cost-effective production of prototypes or models —…

A team has revamped the popular crop growth simulation software BioCro, making it a more user-friendly and efficient way to predict crop yield. The updated version, BioCro II, allows modelers to use the technology much more easily and includes faster and more accurate algorithms. «In the original BioCro, all the math that the modelers were…

Scientists have developed a mathematical model that predicts how the number and effects of bacterial mutations leading to drug resistance will influence the success of antibiotic treatments. Their model, described today in the journal eLife, provides new insights on the emergence of drug resistance in clinical settings and hints at how to design novel treatment…

Researchers describe how they combined artificial intelligence, microfluidics and nanoparticle inkjet printing in a device that enables the examination and differentiation of cancers and healthy tissues at the single-cell level. In a paper published today in Advanced Biosystems, the researchers describe how they combined artificial intelligence, microfluidics and nanoparticle inkjet printing in a device that…

Mathematicians have developed an algorithm to decipher the rotational dynamics of twisting particles in large complex systems from the X-ray scattering patterns observed in X-ray photon correlation spectroscopy experiments. These experiments — designed to study the properties of suspensions and solutions of colloids, macromolecules, and polymers — have been established as key scientific drivers to…

Until recently, researchers and oncologists had placed lung cancer patients into two broad categories: those who would benefit from immunotherapy, and those who likely would not. Now, researchers, using artificial intelligence (AI) to analyze simple tissue scans, say they have discovered biomarkers that could tell doctors which lung cancer patients might actually get worse from…

Medical images for a wide range of diseases can be more easily viewed, compared, and analyzed using a breakthrough open source web-based imaging platform developed by Massachusetts General Hospital (MGH) and collaborating researchers. The Open Health Imaging Foundation (OHIF) web viewer was originally developed with grant support from the National Cancer Institute’s Informatics Technology for…

A team of researchers has discovered an exciting method for controlling spin carried by quantized spin wave excitations in antiferromagnetic insulators. Elementary particles carry an intrinsic angular momentum known as their spin. For an electron, the spin can take only two particular values relative to a quantization axis, letting us denote them as spin-up and…