Comparative analysis of coiled-coil prediction methods.

Gruber, M; Söding, J; Lupas, AN

doi:10.1016/j.jsb.2006.03.009

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Comparative analysis of coiled-coil prediction methods.

MPS-Authors

/persons/resource/persons277268

Gruber, M
Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons128572

Söding, J
Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society;

/persons/resource/persons78342

Lupas, AN
Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Gruber, M., Söding, J., & Lupas, A. (2006). Comparative analysis of coiled-coil prediction methods. Journal of Structural Biology, 155(2), 140-145. doi:10.1016/j.jsb.2006.03.009.

引用: https://hdl.handle.net/21.11116/0000-000B-2513-6

要旨

In this study we compare commonly used coiled-coil prediction methods against a database derived from proteins of known structure. We find that the two older programs COILS and PairCoil/MultiCoil are significantly outperformed by two recent developments: Marcoil, a program built on hidden Markov models, and PCOILS, a new COILS version that uses profiles as inputs; and to a lesser extent by a PairCoil update, PairCoil2. Overall Marcoil provides a slightly better performance over the reference database than PCOILS and is considerably faster, but it is sensitive to highly charged false positives, whereas the weighting option of PCOILS allows the identification of such sequences.