Highly accurate protein structure prediction for the human proteome

Model confidence and added coverage. We predicted structures for the UniProt human reference proteome (one representative sequence per gene), ...

Highly accurate protein structure prediction with AlphaFold - Nature

Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function.

The state-of-the-art machine learning method, AlphaFold, is applied at a scale that covers almost the entire human proteome, and the resulting dataset ...

Highly accurate protein structure prediction with AlphaFold - PubMed

Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function.

Highly Accurate Protein Structure Prediction with AlphaFold [in ...

Controlling GANs Latent Space [in Russian] · Highly Accurate Protein Structure Prediction with AlphaFold | SimonKohl · Kendrew Lecture 2021 pt2 - ...

Highly accurate protein structure prediction for the human proteome

AbstractProtein structures can provide invaluable information, both for reasoning about biological processes and for enabling interventions such as ...

AlphaFold Protein Structure Database

In CASP14, AlphaFold was the top-ranked protein structure prediction method by a large margin, producing predictions with high accuracy. While the system still ...

Highly accurate protein structure prediction with AlphaFold - Medium

AlphaFold covers a remarkable 98.5% of the human proteome and provides reliable predictions for 58% of residues, with an exceptional subset ...

(PDF) Highly accurate protein structure prediction with AlphaFold

Knowing the protein structure helps us to investigate diseases in human beings related to abnormal or impaired folded proteins. This research ...

AlphaFold Protein Structure Database: massively expanding the ...

We have created AlphaFold DB to make structure predictions freely available to the scientific community at a large scale. The first release ...

Highly accurate protein structure prediction for the human proteome

Highly accurate protein structure prediction for the human proteome ... Abstract: Abstract Protein structures can provide invaluable information, ...

AlphaFold 2 paper released: "Highly accurate protein structure ...

Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even where no similar ...

Database for proteome-wide predictions of protein structures

Yes. There could be many uses of predicted structures of all the proteins in the proteome, given that the predictions are accurate enough. One ...

The structural coverage of the human proteome before and after ...

For the rest of the paper, we consider a region as having a highly accurate protein structure model or prediction if it either has a sequence identity above 50% ...

Highly accurate protein structure prediction with AlphaFold - NovAliX

How machine learning can boost structural biology understanding? Twenty years after the human genome sequencing, AlphaFold revolutionizes the “ ...

Highly accurate protein structure prediction with AlphaFold

The transformative artificial intelligence (AI) tool called AlphaFold, has predicted the 3 dimensional structures of nearly the entire human proteome (98.5% of ...

What is the accuracy of predictions from protein folding programs ...

Protein folding prediction programs like Rosetta and AlphaFold have made significant advancements in recent years, but the accuracy of their ...

DeepMind Releases Accurate Picture of the Human Proteome

Partners use AlphaFold, the AI system recognized last year as a solution to the protein structure prediction problem, to release more than ...

Before and after AlphaFold2: An overview of protein structure ...

Presented at CASP14 between May and July 2020, AlphaFold2 predicted protein structures with more accuracy than other competing methods, ...

AlphaFold—for predicting protein structures - Lasker Foundation

From the predictions, they plucked the most reliable 350,000 sequence/structure pairs and trained the system on those data as if they had been ...