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BMC Bioinformatics
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October 8, 2013
MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation
Chun Fang, Tamotsu Noguchi, Daisuke Tominaga, et al.
International Journal of Molecular Sciences
|
December 7, 2018
Both Intrinsically Disordered Regions and Structural Domains Evolve Rapidly in Immune-Related Mammalian Proteins
Keiichi Homma, Hiroto Anbo, Tamotsu Noguchi, et al.
Bioinformatics (Oxford, England)
|
June 5, 2007
POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions
Shuichi Hirose, Kana Shimizu, Satoru Kanai, et al.
BMC Bioinformatics
|
March 7, 2007
Predicting mostly disordered proteins by using structure-unknown protein data
Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, et al.
New Biotechnology
|
September 15, 2010
Development and evaluation of data-driven designed tags (DDTs) for controlling protein solubility
Shuichi Hirose, Yoshifumi Kawamura, Masatoshi Mori, et al.
BMC Structural Biology
|
July 15, 2010
Prediction of protein motions from amino acid sequence and its application to protein-protein interaction
Shuichi Hirose, Kiyonobu Yokota, Yutaka Kuroda, et al.
International Journal of Molecular Sciences
|
July 18, 2015
A Method for Systematic Assessment of Intrinsically Disordered Protein Regions by NMR
Natsuko Goda, Kana Shimizu, Yohta Kuwahara, et al.
Journal of Biochemistry
|
April 12, 2011
Statistical analysis of features associated with protein expression/solubility in an in vivo Escherichia coli expression system and a wheat germ cell-free expression system
Shuichi Hirose, Yoshifumi Kawamura, Kiyonobu Yokota, et al.
The Journal of Biological Chemistry
|
July 27, 2025
Molecular basis of the autoregulatory mechanism of motor neuron-related splicing factor 30
Keiichi Izumikawa, Tatsuya Shida, Yuuka Onodera, et al.
Nucleic Acids Research
|
November 6, 2010
SAHG, a comprehensive database of predicted structures of all human proteins
Chie Motono, Junichi Nakata, Ryotaro Koike, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 21) with videos related to
Sort By:
Page
of 3
BMC Bioinformatics
|
October 8, 2013
MFSPSSMpred: identifying short disorder-to-order binding regions in disordered proteins based on contextual local evolutionary conservation
Chun Fang, Tamotsu Noguchi, Daisuke Tominaga, et al.
International Journal of Molecular Sciences
|
December 7, 2018
Both Intrinsically Disordered Regions and Structural Domains Evolve Rapidly in Immune-Related Mammalian Proteins
Keiichi Homma, Hiroto Anbo, Tamotsu Noguchi, et al.
Bioinformatics (Oxford, England)
|
June 5, 2007
POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions
Shuichi Hirose, Kana Shimizu, Satoru Kanai, et al.
BMC Bioinformatics
|
March 7, 2007
Predicting mostly disordered proteins by using structure-unknown protein data
Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, et al.
New Biotechnology
|
September 15, 2010
Development and evaluation of data-driven designed tags (DDTs) for controlling protein solubility
Shuichi Hirose, Yoshifumi Kawamura, Masatoshi Mori, et al.
BMC Structural Biology
|
July 15, 2010
Prediction of protein motions from amino acid sequence and its application to protein-protein interaction
Shuichi Hirose, Kiyonobu Yokota, Yutaka Kuroda, et al.
International Journal of Molecular Sciences
|
July 18, 2015
A Method for Systematic Assessment of Intrinsically Disordered Protein Regions by NMR
Natsuko Goda, Kana Shimizu, Yohta Kuwahara, et al.
Journal of Biochemistry
|
April 12, 2011
Statistical analysis of features associated with protein expression/solubility in an in vivo Escherichia coli expression system and a wheat germ cell-free expression system
Shuichi Hirose, Yoshifumi Kawamura, Kiyonobu Yokota, et al.
The Journal of Biological Chemistry
|
July 27, 2025
Molecular basis of the autoregulatory mechanism of motor neuron-related splicing factor 30
Keiichi Izumikawa, Tatsuya Shida, Yuuka Onodera, et al.
Nucleic Acids Research
|
November 6, 2010
SAHG, a comprehensive database of predicted structures of all human proteins
Chie Motono, Junichi Nakata, Ryotaro Koike, et al.
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of 3