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Machine learning for determining protein structure and dynamics ...


Mutually beneficial confluence of structure-based modeling of ...

Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods. Banerjee A 1 ,. Saha S 1 ,. Tvedt NC 2 ,. Yang LW 3 ...

Machine Learning in Structural Biology

Structural biology, the study of the 3D structure or shape of proteins and other biomolecules, has been transformed by breakthroughs from machine learning ...

Protein structure prediction - (Computational Genomics) - Fiveable

Machine learning techniques, especially those using deep learning frameworks, have significantly improved the accuracy of protein structure predictions in ...

What is AlphaFold? - EMBL-EBI

AlphaFold2 is a multicomponent artificial intelligence (AI) system that uses machine learning to predict a protein's 3D structure based on its primary amino ...

Comparative Study of Machine Learning Models in Protein Structure ...

Machine learning methods are generally utilized procedures in bioinformatics to take care of various kinds of issues. Protein structure expectation is one of ...

Machine learning recognition of protein secondary structures based ...

It is not generally possible to invert spectroscopic data to yield the structure. We present a machine learning protocol which uses two- ...

Artificial Intelligence: Exploring the conformational diversity of proteins

Using computational methods to predict the structures of proteins could allow scientists to fill the gap between protein sequence and structural ...

Prop3D: A flexible, Python-based platform for machine learning with ...

Another approach to handle a protein structure in ML is to treat it as a spatially discretized 3D image, wherein volumetric elements (voxels) ...

De novo protein structure prediction using ultra-fast molecular ...

The results show that the ultra-fast molecular dynamics simulation could dramatically reduce the gap between the sequence and its structure at atom level, and ...

Protein structure and dynamics in the era of integrative ... - Frontiers

A central challenge of structural biology is the dynamic characterization of conformational ensembles, rather than the determination of single structures or ...

Marrying Protein Structure with Machine Learning for Simulating ...

Simulating atomistic structural changes of proteins over long physiological time-scales of function is difficult with traditional methods and direct ...

CombFold: predicting structures of large protein assemblies using a ...

Deep learning models, such as AlphaFold2 and RosettaFold, enable high-accuracy protein structure prediction. However, large protein complexes are still ...

Data-driven simulations to understand protein dynamics

Single-particle cryo-EM is a powerful tool to determine three-dimensional structures of biomolecules. ... machine learning and data assimilation to understand ...

Protein Model Quality Estimation Using Molecular Dynamics ...

In the last decade, existing methods that rely on machine learning to deep learning have been developed and shown progressive improvement.

AI4Proteins: Protein Structure Prediction Abstracts & Speaker Bios

We combine deep learning approaches with mechanistic modeling to a set of proteins that experimentally showed conformational changes. The predicted protein ...

Physics‐based protein structure refinement in the era of artificial ...

To better understand the role of refinement given new types of models based on machine-learning, a detailed analysis via MD simulations and ...

machine learning for determining protein structures

This patent search tool allows you not only to search the PCT database of about 2 million International Applications but also the worldwide patent ...

Deep Learning enhanced prediction of protein structure & dynamics ...

This seminar forms part of the AI3SD and RSC-CICAG AI4Proteins Series. This series is sponsored by Arctoris and Schrödinger.

Interpreting Molecular Dynamics Forces as Deep Learning ... - bioRxiv

We propose a new method to train deep learning protein structure prediction models using molecular dynamics force fields to work toward these goals.

CrysFormer: Protein structure determination via Patterson maps ...

5,6. Recent advances in machine learning (ML) algorithms have inspired a fourth direction, which is to train a deep neural network model on a ...