New machine-learning approach is better at spotting enzymatic metals in proteins
Last season, Kansas City Chiefs quarterback Patrick Mahomes boasted a 66.3 pass-completion percentage.
Last season, Kansas City Chiefs quarterback Patrick Mahomes boasted a 66.3 pass-completion percentage.
Biochemistry
Sep 8, 2021
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74
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
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920
You might not like mosquitoes, but they like you, says Utah State University biologist Norah Saarman. And where you lead, they will follow.
Ecology
Feb 22, 2021
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54
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
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216
Plants are master chemists, and Michigan State University researchers have unlocked their secret of producing specialized metabolites.
Plants & Animals
Feb 14, 2019
2
347
A new system for forecasting weather and predicting future climate uses artificial intelligence (AI) to achieve results comparable with the best existing models while using much less computer power, according to its creators.
Environment
Jul 28, 2024
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29
For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the smallest scale: the trillions ...
Cell & Microbiology
Jul 22, 2024
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57
A research team from Skoltech introduced a new method that takes advantage of machine learning for studying the properties of polycrystals, composites, and multiphase systems. It attained high accuracy, nearly as good as ...
Analytical Chemistry
Mar 25, 2024
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0
Plant phenotyping which explores the interplay between plant genotypes and their environment, has advanced with automated, high-throughput screening in greenhouses. However, managing the resulting extensive datasets is complex, ...
Molecular & Computational biology
Dec 20, 2023
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3
Researchers at Auburn University are seeking ways to identify unknown compounds using collision cross section (CCS) measurements paired with prediction methods including computational models and machine learning. Their study ...
Analytical Chemistry
Sep 5, 2023
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5