Open source protein structure datasets

AlphaFold Protein Structure Database
AlphaFold DB provides open access to over 200 million protein structure predictions to accelerate scientific research.

ProteinNet: a standardized data set for machine learning of protein structu...
Background Rapid progress in deep learning has spurred its application to bioinformatics problems including protein structure prediction and design. In classic mac...

ProteinShake: Building datasets and benchmarks for deep learning on protein...
This paper presents a software package to simplify dataset creation and model evaluation for deep learning on protein

RCSB PDB: Homepage
As a member of the wwPDB, the RCSB PDB curates and annotates PDB data according to agreed upon standards. The RCSB PDB also provides a variety of tools and resources. Users can per...

Deep Learning-Based Advances in Protein Structure Prediction - PMC
Protein contact map prediction has been deemed to be useful in predicting protein structure

SWISS-MODEL Repository
The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling...

Recent advances in interpretable machine learning using structure-based pro...
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural net...

Modern machine learning methods for protein property prediction - ScienceDi...
AI/ML models learn the underlying distribution of data they are trained on and when exposed to new inputs, they make predictions based on patterns...

DIPS-Plus: The enhanced database of interacting protein structures for inte...
In this work, we expand on a dataset recently introduced for protein interface prediction (PIP), the Database of Interacting Protein

r/bioinformatics on Reddit: ML protein prediction guidance
I’m a life science undergraduate embarking on a research project under a lab doing structural biology work i.e. creating ML models for

DIPS-Plus: The enhanced database of interacting protein structures for inte...
In this work, we expand on a dataset recently introduced for protein interface prediction (PIP), the Database of Interacting Protein

Machine learning methods for protein structure prediction - PubMed
Machine learning methods are widely used in bioinformatics and computational and systems biology. Here, we review the development of machine learning methods for <...

Highly accurate protein structure prediction with AlphaFold

Bioinformatics Protein Dataset - Simulated | Kaggle
Synthetic protein dataset with sequences, physical properties, and functional cl

Collecting and organizing systematic sets of protein data | Nature Reviews ...
Technologies are now in place to obtain large amounts of data for systems biology approaches. What are the most suitable technologies for fast, accurate and high-throughput data co...

AI told you so: navigating protein structure prediction in the era of machi...
At CASP13 in 2018, AlphaFold from ... for Protein Design. These groups implemented the pattern recognition power of machine-learning algorithms, t...


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