A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

More than a year ago, computational scientists at the Department of Energy's Oak Ridge National Laboratory published a study ...

Water is the most prevalent component of biomolecular simulations - from protein ensembles to nucleic acids - and ...

This valuable manuscript provides convincing evidence that BK and CaV1.3 channels can co-localize as ensembles early in the biosynthetic pathway, including in the ER and Golgi. The findings, supported ...

Considerable motivation exists for the development of an adequate statistical model for spontaneous electroencephalographic (EEG) activity. At present, almost all methods of time-domain and ...

In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

A statistical analysis of exoplanet habitability turns up one great candidate by Andy Tomaswick, Universe Today edited by Stephanie Baum, reviewed by Andrew Zinin Editors' notes ...

Who were the statewide statistical leaders in offensive and defensive categories for 2025?

Statistical methods articles from across Nature Portfolio Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...