What question did this study set out to answer?

To develop and deploy the GTOP database, providing automated 3D structure predictions and functional annotations for uncharacterized proteins identified in genome sequencing projects.

January 1, 2002Nucleic Acids ResearchOpen Access

GTOP: a database of protein structures predicted from genome sequences

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Authors

TKTakeshi KawabataTohoku University

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Implication

Bioinformatic analysis demonstrates large-scale protein fold and function predictions across 41 fully sequenced genomes, highlighting an automated pipeline for uncharacterized proteins.

Key Points

To develop and deploy the GTOP database, providing automated 3D structure predictions and functional annotations for uncharacterized proteins identified in genome sequencing projects.
Assigned protein folds across genomic open reading frames primarily using sequence profile searches via PSI-BLAST.
Identified sequence motifs, transmembrane helices, repetitive elements, and putative ligand-binding sites.
Integrated color-bar graphical viewers and interactive visualization tools, including the Chime plug-in and RasMol.
Completed comprehensive structural and functional annotations for over 120,000 proteins across 41 fully sequenced organisms.
Established a publicly accessible web database delivering single-page graphical summaries and structural models for each analyzed open reading frame.

Cite This Study

Takeshi Kawabata (2002) studied this question.

synapsesocial.com/papers/6a75c3fd3d78a07d47dd7f5a https://doi.org/10.1093/nar/30.1.294

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Implication

Bioinformatic analysis demonstrates large-scale protein fold and function predictions across 41 fully sequenced genomes, highlighting an automated pipeline for uncharacterized proteins.

GTOP: a database of protein structures predicted from genome sequences

Discussion

Member takes

Implication

Key Points

Cite This Study

GTOP: a database of protein structures predicted from genome sequences

Discussion

Member takes

Implication

Key Points

Cite This Study

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