Scientists use quantum many-body data and machine learning to boost density functional theory accuracy for chemistry and ...

Aquaglyceroporin Aqp10, a protein channel for water and glycerol, selectively permeates urea and boric acid due to its unique ...

Understanding chemical reactions and material properties consumes about a third of US national lab supercomputer time. At the ...

A new open-source model of brain metabolism, developed by scientists at École Polytechnique Fédérale de Lausanne (EPFL), has shown how altering key chemicals could restore aged cells to their youthful ...

Scientists have created an intricate molecular map of the human body and its complex physiological processes based on the analysis of thousands of molecules in blood, urine and saliva samples from 391 ...

When proteins are made in a cell, they start out as strings of amino acids, which have to be folded into the correct, three-dimensional shape so they will function properly. Misfolded proteins can ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

When model cell membranes bind to biomaterials, it is not the binding strength but the speed of the receptors in the ...

Conventional parameters for risk stratification prognosis for patients with low-risk myelodysplastic neoplasms, especially bone marrow blast percentage, drop their clinical significance once molecular ...

Our understanding of the molecular pathogenesis of LAMA2 -related muscular dystrophy ( LAMA2 -MD) requires improving. Here, we report the phenotype, neuropathology, and transcriptomics data (scRNA-seq ...