The HMMTOP transmembrane topology prediction server. Summary: The HMMTOP transmembrane topology prediction server predicts both the localization of helical transmembrane segments and the topology of transmembrane proteins. Recently, several improvements have been introduced to the original method. Now, the user is allowed to submit additional information about segment localization to enhance the prediction power. This option improves the prediction accuracy as well as helps the interpretation of experimental results, i.e. in epitope insertion experiments. Availability: HMMTOP 2.0 is freely available to non-commercial users at Source code is also available upon request to academic users.

References in zbMATH (referenced in 7 articles )

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  1. Chikayama, Eisuke; Kurotani, Atsushi; Tanaka, Takanori; Yabuki, Takashi; Miyazaki, Satoshi; Yokoyama, Shigeyuki; Kuroda, Yutaka: Mathematical model for empirically optimizing large scale production of soluble protein domains (2010) ioport
  2. Nugent, Timothy; Jones, David T.: Transmembrane protein topology prediction using support vector machines (2009) ioport
  3. Shen, Yao Qing; Burger, Gertraud: ’Unite and conquer’: Enhanced prediction of protein subcellular localization by integrating multiple specialized tools (2007) ioport
  4. Cai, Yu-Dong; Chou, Kuo-Chen: Predicting membrane protein type by functional domain composition and pseudo-amino acid composition (2006)
  5. Arai, Masafumi; Fukushi, Takafumi; Satake, Masanobu; Shimizu, Toshio: A proteome-wide analysis of domain architectures of prokaryotic single-spanning transmembrane proteins (2005)
  6. Inoue, Yasuhito; Ikeda, Masami; Shimizu, Toshio: Proteome-wide classification and identification of mammalian-type GPCRs by binary topology pattern (2004)
  7. Xia, Jun-Xiong; Ikeda, Masami; Shimizu, Toshio: ConPred_elite: a highly reliable approach to transmembrane topology prediction (2004)