The majority of commercial chemicals that enter the market in the United States every year have insufficient health and safety data. For pesticides, the U.S. Environmental Protection Agency uses a variety of techniques to ...
Ecology
Mar 30, 2022
0
142
A new computational approach developed by researchers at The University of Texas MD Anderson Cancer Center successfully combines data from parallel gene-expression profiling methods to create spatial maps of a given tissue ...
Biotechnology
Mar 21, 2022
0
83
A scientist at Karolinska Institutet reports that machine learning can be used to gain insights into molecular events that change the shape of proteins after they are made, regulating their ability to interact with each other. ...
Molecular & Computational biology
Oct 7, 2021
0
19
Modern weather forecasts and climate studies rely heavily on computer simulations implementing physical models. These models need to make cohesive large-scale predictions but also include enough small-scale detail to be relevant ...
Earth Sciences
Aug 4, 2021
0
4
Northwestern University researchers have developed a new framework using machine learning that improves the accuracy of interatomic potentials—the guiding rules describing how atoms interact—in new materials design. The ...
Materials Science
Jul 22, 2021
0
920
Polypharmacology—the ability of a drug to affect more than one protein—should be studied early in the drug discovery pathway, and constantly monitored as the chemical structure is optimized in the design of the clinical ...
Biochemistry
Jun 2, 2021
0
6
Researchers from Queen Mary University of London have developed a novel computational approach to better understand freezing in different types of liquids.
Materials Science
Mar 18, 2021
1
26
Northwestern University researchers have developed a new computational approach to accelerate the design of materials exhibiting metal-insulator transitions (MIT), a rare class of electronic materials that have shown potential ...
Materials Science
Nov 6, 2020
0
216
Scientists from the iMolecule group at Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) developed BiteNet, a machine learning (ML) algorithm that helps find drug binding sites, i.e. potential ...
Molecular & Computational biology
Oct 27, 2020
0
2
Cellular therapy is a powerful strategy to produce patient-specific, personalized cells to treat many diseases, including heart disease and neurological disorders. But a major challenge for cell therapy applications is keeping ...
Cell & Microbiology
Oct 12, 2020
0
118
