ECOD: integrating classifications of protein domains from experimental and predicted structures

The evolutionary classification of protein domains (ECOD) classifies protein domains using a combination of sequence and structural data (http://prodata.swmed.edu/ecod). Here we present the culmination of our previous efforts at classifying domains from predicted structures, principally from the AlphaFold Database (AFDB), by integrating these domains with our existing classification of PDB structures. This combined classification includes both domains from our previous, purely experimental, classification of domains as well as domains from our provisional classification of 48 proteomes in AFDB predicted from model organisms and organisms of concern to global health. ECOD classifies over 1.8 M domains from over 1000 000 proteins collectively deposited in the PDB and AFDB. Additionally, we have changed the F-group classification reference used for ECOD, deprecating our original ECODf library and instead relying on direct collaboration with the Pfam sequence family database to inform our classification. Pfam provides similar coverage of ECOD with family classification while being more accurate and less redundant. By eliminating duplication of effort, we can improve both classifications. Finally, we discuss the initial deployment of DrugDomain, a database of domain-ligand interactions, on ECOD and discuss future plans.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-20
DOI
https://doi.org/10.1093/nar/gkae1029
Citations
27
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
6.31

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article

ECOD: integrating classifications of protein domains from experimental and predicted structures

Beatriz Lázaro, Antonina Andreeva, R. Dustin Schaeffer, Qian Cong et al.
27 citations
Nucleic Acids Research
Protein Structure and Dynamics
6.31
article

ECOD: integrating classifications of protein domains from experimental and predicted structures

Beatriz Lázaro, Antonina Andreeva, R. Dustin Schaeffer, Qian Cong, Sara Chuguransky, Alex Bateman, Kirill E. Medvedev, Jing Zhang, Nick V. Grishin
article en
27 citations

Abstract

The evolutionary classification of protein domains (ECOD) classifies protein domains using a combination of sequence and structural data (http://prodata.swmed.edu/ecod). Here we present the culmination of our previous efforts at classifying domains from predicted structures, principally from the AlphaFold Database (AFDB), by integrating these domains with our existing classification of PDB structures. This combined classification includes both domains from our previous, purely experimental, classification of domains as well as domains from our provisional classification of 48 proteomes in AFDB predicted from model organisms and organisms of concern to global health. ECOD classifies over 1.8 M domains from over 1000 000 proteins collectively deposited in the PDB and AFDB. Additionally, we have changed the F-group classification reference used for ECOD, deprecating our original ECODf library and instead relying on direct collaboration with the Pfam sequence family database to inform our classification. Pfam provides similar coverage of ECOD with family classification while being more accurate and less redundant. By eliminating duplication of effort, we can improve both classifications. Finally, we discuss the initial deployment of DrugDomain, a database of domain-ligand interactions, on ECOD and discuss future plans.

Nucleic Acids ResearchVol. 53(D1)
European Bioinformatics Institute (GB), The University of Texas Southwestern Medical Center (US)
National Science Foundation, Welch Foundation, Wellcome Trust, European Molecular Biology Laboratory, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, Division of Biological Infrastructure
Partnerships for the goals
Openalex Percentile: Top 3%
Protein Structure and Dynamics
6.31
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