Literature DB >> 12651735

DomCut: prediction of inter-domain linker regions in amino acid sequences.

Mikita Suyama1, Osamu Ohara.   

Abstract

DomCut is a program to predict inter-domain linker regions solely by amino acid sequence information. The prediction is made by using linker index deduced from a data set of domain/linker segments. The linker preference profile, which is the averaged linker index along a sequence, can be visualized in the graphical interface.

Mesh：

Substances：

Year:  2003        PMID： 12651735     DOI： 10.1093/bioinformatics/btg031

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  39 in total

1.  Domain structure of Lassa virus L protein.

Authors:  Linda Brunotte; Michaela Lelke; Meike Hass; Katja Kleinsteuber; Beate Becker-Ziaja; Stephan Günther
Journal:  J Virol       Date:  2010-10-27       Impact factor: 5.103

2.  Fast prediction of protein domain boundaries using conserved local patterns.

Authors:  Rajani R Joshi; Vivekanand V Samant
Journal:  J Mol Model       Date:  2006-04-29       Impact factor: 1.810

3.  Fine-tuning of protein domain boundary by minimizing potential coiled coil regions.

Authors:  Naoko Iwaya; Natsuko Goda; Satoru Unzai; Kenichiro Fujiwara; Toshiki Tanaka; Kentaro Tomii; Hidehito Tochio; Masahiro Shirakawa; Hidekazu Hiroaki
Journal:  J Biomol NMR       Date:  2006-12-16       Impact factor: 2.835

4.  Bayesian data mining of protein domains gives an efficient predictive algorithm and new insight.

Authors:  Rajani R Joshi; Vivekanand V Samant
Journal:  J Mol Model       Date:  2006-10-07       Impact factor: 1.810

5.  Computer-aided NMR assay for detecting natively folded structural domains.

Authors:  Takayuki Hondoh; Atsushi Kato; Shigeyuki Yokoyama; Yutaka Kuroda
Journal:  Protein Sci       Date:  2006-03-07       Impact factor: 6.725

6.  Fast H-DROP: A thirty times accelerated version of H-DROP for interactive SVM-based prediction of helical domain linkers.

Authors:  Tambi Richa; Soichiro Ide; Ryosuke Suzuki; Teppei Ebina; Yutaka Kuroda
Journal:  J Comput Aided Mol Des       Date:  2016-12-27       Impact factor: 3.686

7.  H-DROP: an SVM based helical domain linker predictor trained with features optimized by combining random forest and stepwise selection.

Authors:  Teppei Ebina; Ryosuke Suzuki; Ryotaro Tsuji; Yutaka Kuroda
Journal:  J Comput Aided Mol Des       Date:  2014-06-26       Impact factor: 3.686

8.  Mathematical model for empirically optimizing large scale production of soluble protein domains.

Authors:  Eisuke Chikayama; Atsushi Kurotani; Takanori Tanaka; Takashi Yabuki; Satoshi Miyazaki; Shigeyuki Yokoyama; Yutaka Kuroda
Journal:  BMC Bioinformatics       Date:  2010-03-01       Impact factor: 3.169

Review 9.  Folding by numbers: primary sequence statistics and their use in studying protein folding.

Authors:  Brent Wathen; Zongchao Jia
Journal:  Int J Mol Sci       Date:  2009-04-08       Impact factor: 6.208

10.  A modular kernel approach for integrative analysis of protein domain boundaries.

Authors:  Paul D Yoo; Bing Bing Zhou; Albert Y Zomaya
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.