Y. Yabuki

发表

Development of Prediction Method for GPCR G-protein Coupling Selectivity Using Amino Acid Properties

M. Ikeda, Y. Ishida, Y. Yabuki, 2009 .

Conformations of helical Aib peptides containing a pair of l‐amino acid and d‐amino acid

Masakazu Tanaka, M. Doi, M. Kurihara, 2012, Journal of peptide science : an official publication of the European Peptide Society.

ToGo-WF: prediction of RNA tertiary structures and RNA–RNA/protein interactions using the KNIME workflow

Yukimitsu Yabuki, Kazuhiko Fukui, Katsuhisa Horimoto, 2019, Journal of Computer-Aided Molecular Design.

TMFunction: database for functional residues in membrane proteins

M. Michael Gromiha, Yukimitsu Yabuki, Kazuhiko Fukui, 2008, Nucleic Acids Res..

GPCR and G-protein Coupling Selectivity Prediction Based on SVM with Physico-Chemical Parameters

Yukimitsu Yabuki, Makiko Suwa, Takatsugu Hirokawa, 2005 .

Database Development and Discrimination Algorithms for Membrane Protein Functions

Paul Horton, M. Michael Gromiha, Yukimitsu Yabuki, 2009 .

TMB Finding Pipeline: Novel Approach for Detecting β-Barrel Membrane Proteins in Genomic Sequences.

M. Michael Gromiha, Yukimitsu Yabuki, Makiko Suwa, 2008 .

TMB Finding Pipeline: Novel Approach for Detecting β-Barrel Membrane Proteins in Genomic Sequences

M. Michael Gromiha, Yukimitsu Yabuki, Makiko Suwa, 2007, J. Chem. Inf. Model..

Functional discrimination of membrane proteins using machine learning techniques

M. Michael Gromiha, Yukimitsu Yabuki, M. Gromiha, 2008, BMC Bioinformatics.

GRIFFIN: a system for predicting GPCR–G-protein coupling selectivity using a support vector machine and a hidden Markov model

Yukimitsu Yabuki, Makiko Suwa, Takatsugu Hirokawa, 2005, Nucleic Acids Res..

TMBETA-GENOME: database for annotated β-barrel membrane proteins in genomic sequences

M. Michael Gromiha, Yukimitsu Yabuki, Makiko Suwa, 2006, Nucleic Acids Res..