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

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

Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

To solve a problem, scientists first need to see it clearly. Whether it’s a virus slipping past the immune system or plaques ...

Genomic modeling and design have the potential to transform synthetic biology research. However, researchers face bottlenecks due to insufficient tools that fail to support a deep understanding of 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 ...

Molecular profiling has transformed cancer care, but 30% of high-risk pediatric cancers do not have actionable therapeutic targets, limiting personalized treatment options and negatively affecting ...

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

Delphi-2M is designed to assess disease risks up to 20 years in advance. A study on this has now been published in Nature.