Article

Clustering predicted structures at the scale of the known protein universe

2023-04-11

Abstract excerpt

<title>Abstract</title> <p>Proteins are key to all cellular processes and their structure is important in understanding their function and evolution. Sequence-based predictions of protein structures have increased in accuracy with over 214 million predicted structures available in the AlphaFold database (AFDB). However, studying protein structures at this scale requires highly efficient methods. Here, we develope...

Identifiers and source

Literature Corpus work: 3dee8971-0b58-5cdc-91ca-df807a00ad9a
DOI: 10.21203/rs.3.rs-2727632/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Clustering predicted structures at the scale of the known protein universeDOI 10.21203/rs.3.rs-2727632/v1Read

Clustering predicted structures at the scale of the known protein universeSemantic proximity Read

Accurate Protein Domain Structure Annotation with DomainMapperSemantic proximity Read

FASSO: An AlphaFold based method to assign functional annotations by combining sequence and structure orthologySemantic proximity Read

Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structuresSemantic proximity Read

AI-based protein structure databases have the potential to accelerate rare diseases research: AlphaFoldDB and the case of IAHSP/AlsinSemantic proximity Read

De novo discovery of conserved gene clusters in microbial genomes with SpacedustSemantic proximity Read

Prediction of multiple conformational states by combining sequence clustering with AlphaFold2Semantic proximity Read

Machine learning of three-dimensional protein structures to predict the functional impacts of genome variationSemantic proximity Read

Characterizing and explaining impact of disease-associated mutations in proteins without known structures or structural homologuesSemantic proximity Read

The AlphaFold Database AgesSemantic proximity Read

Testing the reliability of AI-generated protein structuresSemantic proximity Read

Integrating computational protein structure predictions and genetic dependencies yields an atlas of human multi-protein complexes (AHMPC)Semantic proximity Read