Protein structure prediction based on multi-level description

Kentaro Onizuka, Hiroshi Tsuda, Masato Ishikawa, Akira Aiba, Kiyoshi Asai, Katunobu Ito

研究成果: Conference contribution

抄録

We propose novel prediction schemes for protein 3D structure prediction that include both local and global factors of protein structure formation. We have developed a powerful description scheme for protein conformation, MLD (Multi-Level Description), in order to model the protein structure formation. In this scheme, the description is reconstructable into the three-dimensional conformation with a tolerable error. The MLD scheme facilitates the modeling of 1) the relation between the local conformation and the primary structure at that region at various scales (i.e., primary constraints), and 2) the geometric constraints between the neighboring local conformations. Hence, in our prediction schemes, the problem of protein 3D structure prediction is formulated as a combinatorial optimization problem; the 3D conformation of a protein is predicted as the optimal MLD that satisfies most of the constraints. We implemented several schemes to solve this problem. We proved that the degree of prediction accuracy is much improved by introducing the geometric constraints.

本文言語English
ホスト出版物のタイトルProceedings of the Hawaii International Conference on System Sciences
編集者Jay F. Nunamaker, Ralph H.Jr. Sprague
出版社Publ by IEEE
ページ355-364
ページ数10
ISBN(印刷版)0818650907
出版ステータスPublished - 1995
イベントProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5) - Wailea, HI, USA
継続期間: 1994 1 41994 1 7

出版物シリーズ

名前Proceedings of the Hawaii International Conference on System Sciences
5
ISSN(印刷版)1060-3425

Conference

ConferenceProceedings of the 27th Hawaii International Conference on System Sciences (HICSS-27). Part 4 (of 5)
CityWailea, HI, USA
Period94/1/494/1/7

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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