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Updated: Jan 11, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
Benjamin Lang1, Bálint Mészáros2, Besian I Sejdiu2
1Center of Excellence for Data-Driven Discovery, Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA. benjamin.lang@cantab.net.
AlphaSync provides updated protein structure models synchronized with UniProt, enhancing biological research. This resource offers comprehensive proteome coverage and detailed annotations for large-scale protein studies.
Area of Science:
- Structural biology
- Bioinformatics
- Computational biology
Background:
- Accurate protein structure prediction is crucial for biological understanding and biomedical research.
- Keeping protein structure models synchronized with evolving sequence databases is a significant challenge.
Purpose of the Study:
- To introduce AlphaSync, a resource complementing the AlphaFold Protein Structure Database.
- To provide up-to-date, UniProt-synchronized protein structural models and annotations.
Main Methods:
- Developed AlphaSync (alphasync.stjude.org) to synchronize protein structure models with UniProt.
- Generated 2.6 million structural models for updated proteins and isoforms across 925 species.
- Achieved complete proteome coverage for 42 key species.
Main Results:
- AlphaSync offers 2.6 million UniProt-synchronized structural models, including predictions for 40,016 updated proteins.
- Provides complete, up-to-date proteome coverage for 42 species, including humans and pathogens.
- Includes residue-level annotations (solvent accessibility, disorder) and over 4.7 billion atom-level noncovalent contacts.
Conclusions:
- AlphaSync facilitates protein structure-function relationship studies and variant assessment.
- Enables large-scale and detailed protein research through up-to-date models and annotations.
- Supports machine learning tasks such as protein design with comprehensive data.
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