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Machine learning for determining protein structure and dynamics ...


Machine learning/molecular dynamic protein structure prediction ...

Proteins exist in several different conformations. These structural changes are often associated with fluctuations at the residue level.

Machine learning for determining protein structure and dynamics ...

Recorded 14 November 2022. Ellen Zhong of Princeton University presents "Machine learning for determining protein structure and dynamics ...

Machine Learning Integrating Protein Structure, Sequence, and ...

Molecular Dynamics (MD) simulations have emerged as an efficient method for describing a vast array of biomolecular processes, such as protein ...

Machine Learning Integrating Protein Structure, Sequence, and ...

To overcome this challenge, we propose a framework that integrates the peptide sequence, protein structure, and protein dynamics descriptors into machine ...

Machine learning methods for predicting protein structure from ...

Recent breakthroughs in protein structure prediction have increasingly relied on the use of deep neural networks. These recent methods are notable in that ...

Using Deep Learning to Accelerate Protein-Folding Prediction

AlphaFold represents a paradigm shift in protein structure prediction, building upon decades of research engaging with the intricate puzzle of protein folding.

Making use of machine learning | Nature Chemical Biology

Computational methods for calculating a protein structure from a given amino acid sequence have revolutionized both our understanding of ...

Machine learning for determining protein structures - Google Patents

[0017] In implementations the scoring neural network(s) may comprise a structure prediction neural network to process the (representation of the) sequence of ...

Protein structure prediction with machine learning

Determining a protein's structure by experimentation, however, is an expensive, time consuming and difficult process. Computational modelling of ...

New technique for predicting protein dynamics may prove big ...

To that end, a team of researchers at Brown University has developed a way of using machine learning to rapidly predict multiple protein ...

Machine Learning Generation of Dynamic Protein Conformational ...

In this review, we examine recent progress in machine learning approaches towards generative modeling of dynamic protein ensembles.

Machine learning in protein structure prediction - ScienceDirect.com

Cumulatively, this transformation has resulted in algorithms that can now predict single protein domains with a median accuracy of 2.1 Å, setting the stage for ...

The dynamic duo: cryo-EM teams up with machine learning to ...

The neural network model is based on a single high-resolution 3D density map of a flexible protein. ... The model was trained using cryo-EM image data, and the ...

EMIG Seminar: Machine learning for determining protein structure ...

Major technological advances in cryo-electron microscopy (cryo-EM) have produced new opportunities to study the structure and dynamics of ...

Deep learning for protein structure prediction and design—progress ...

This method relies on the assumption that proteins with similar sequences will have similar structures. By identifying a known protein structure ...

Machine learning for protein folding and dynamics - NSF PAR

In addition to protein structure prediction, machine learn- ing methods can help address other questions regarding protein dynamics. Physics- ...

Deep learning methods for protein structure prediction - Qin - 2024

Proteins are biomolecules composed of linear sequences of amino acids whose functional diversity and biological activity are determined by their ...

Machine learning for protein structure prediction, Part 1 ... - YouTube

Special Lectures on Machine Learning and Protein Folding 2/9/23 Lecture 1 Speaker: Nazim Bouatta, Harvard Medical School Title: Machine ...

AI-Driven Deep Learning Techniques in Protein Structure Prediction

Further research may focus on dynamic protein behavior prediction and merging AI with experimental approaches for quicker structure determination. AI models ...

AI told you so: navigating protein structure prediction in the era of ...

However, determining these structures experimentally is often challenging, in some cases taking years. Recently, machine-learning algorithms ...