neural network-based structure prediction models (Molecular Dynamics Inc)
90
Structured Review
Molecular Dynamics Inc
neural network-based structure prediction models
Neural Network Based Structure Prediction Models, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/neural+network-based+structure+prediction+models/neural+network+molecular+dynamics+simulations/pm37084537-271-31-28
Average 90 stars, based on 1 article reviews
Neural Network Based Structure Prediction Models, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/neural+network-based+structure+prediction+models/neural+network+molecular+dynamics+simulations/pm37084537-271-31-28
Average 90 stars, based on 1 article reviews
neural network-based structure prediction models - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: CryoFold 2.0: Cryo-EM Structure Determination with MELD. Article Snippet: Cryo-electron microscopy data are becoming more prevalent and accessible at higher resolution levels, leading to the development of new computational tools to determine the atomic structure of macromolecules.. However, while existing tools adapted from X-ray crystallography are suitable for the highest-resolution maps, new tools are needed for lower-resolution levels and to account for map heterogeneity.. In this article, we introduce CryoFold 2.0, an integrative physicsbased approach that combines Bayesian inference and the ability to handle multiple data sources with the molecular dynamics flexible fitting (MDFF) approach to determine the structures of macromolecules by using cryo-EM data. |