Unknown

Dataset Information

0

The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation.


ABSTRACT: Structural genomics efforts have led to increasing numbers of novel, uncharacterized protein structures with low sequence identity to known proteins, resulting in a growing need for structure-based function recognition tools. Our method, SeqFEATURE, robustly models protein functions described by sequence motifs using a structural representation. We built a library of models that shows good performance compared to other methods. In particular, SeqFEATURE demonstrates significant improvement over other methods when sequence and structural similarity are low.

SUBMITTER: Wu S 

PROVIDER: S-EPMC2395245 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation.

Wu Shirley S   Liang Mike P MP   Altman Russ B RB  

Genome biology 20080116 1


Structural genomics efforts have led to increasing numbers of novel, uncharacterized protein structures with low sequence identity to known proteins, resulting in a growing need for structure-based function recognition tools. Our method, SeqFEATURE, robustly models protein functions described by sequence motifs using a structural representation. We built a library of models that shows good performance compared to other methods. In particular, SeqFEATURE demonstrates significant improvement over  ...[more]

Similar Datasets

| PRJEB7411 | ENA
| S-EPMC4929271 | biostudies-literature
| S-EPMC10587275 | biostudies-literature
| S-EPMC3988932 | biostudies-literature
2023-05-22 | GSE233193 | GEO
| S-EPMC6684663 | biostudies-literature
2020-12-31 | GSE149513 | GEO
| S-EPMC10199939 | biostudies-literature
| S-EPMC9372917 | biostudies-literature
| S-EPMC8182952 | biostudies-literature