Mitsuo Iwadate

发表

Fams‐ace: A combined method to select the best model after remodeling all server models

Genki Terashi, Mayuko Takeda-Shitaka, Kazuhiko Kanou, 2007, Proteins.

Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics

Yoshiki Murakami, Y-h. Taguchi, Akira Okamoto, 2014 .

Structure Prediction with FAMS for Proteins Screened Critically to Autoimmune Diseases based upon Bioinformatics

Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama, 2012, BIOINFORMATICS.

The SKE‐DOCK server and human teams based on a combined method of shape complementarity and free energy estimation

Genki Terashi, Mayuko Takeda-Shitaka, Kazuhiko Kanou, 2007, Proteins.

Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets

Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama, 2014, BMC Systems Biology.

Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets

Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama, 2015, 2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

FAMSBASE: Modeling Database of 161 Genomes

Kazuhiko Kanou, Mitsuo Iwadate, Daisuke Takaya, 2003 .

Enlarged FAMSBASE: protein 3D structure models of genome sequences for 41 species

Akihiro Yamaguchi, Kei Yura, Mitsuo Iwadate, 2003, Nucleic Acids Res..

FAMS and FAMSBASE: Modeling of All the Genomes and Database

Mitsuo Iwadate, Hideaki Umeyama, Shigetsugu Kawakita, 2002 .

FAMSBASE: Modeling Database of 277 Genomes

Genki Terashi, Kazuhiko Kanou, Mitsuo Iwadate, 2005 .

Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease

Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama, 2015, BMC Bioinformatics.

Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis

Yoshiki Murakami, Y-h. Taguchi, Mitsuo Iwadate, 2017 .

Bioinformatic Screening of Autoimmune Disease Genes and Protein Structure Prediction with FAMS for Drug Discovery

Mitsuo Iwadate, Hideaki Umeyama, Shigeharu Ishida, 2013, Protein and peptide letters.

An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes

Daisuke Kihara, Takashi Ishida, Masakazu Sekijima, 2017, Scientific Reports.

TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancer

Mitsuo Iwadate, Hideaki Umeyama, Y-h. Taguchi, 2014, BMC Genomics.

Bioinformatics based Ligand-Docking and in-silico screening.

Genki Terashi, Mitsuo Iwadate, Daisuke Takaya, 2008, Chemical & pharmaceutical bulletin.

Evaluation of the third solvent clusters fitting procedure for the prediction of protein–protein interactions based on the results at the CAPRI blind docking study

Mitsuo Iwadate, Hideaki Umeyama, Katsuichiro Komatsu, 2003, Proteins.

Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target

Kun-Yi Hsin, Hiroaki Kitano, Y-h. Taguchi, 2015, Scientific Reports.

Cα and Cβ Carbon-13 Chemical Shifts in Proteins From an Empirical Database

Mitsuo Iwadate, Michael P. Williamson, Tetsuo Asakura, 1999 .

Protein structure prediction in CASP6 using CHIMERA and FAMS

Genki Terashi, Mitsuo Iwadate, Daisuke Takaya, 2005, Proteins.

FAMSD: A powerful protein modeling platform that combines alignment methods, homology modeling, 3D structure quality estimation and molecular dynamics.

Genki Terashi, Mitsuo Iwadate, Hideaki Umeyama, 2009, Chemical & pharmaceutical bulletin.