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Mitsuo Iwadate

Showing results (1-10 of 27) with videos related to

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Current Protocols in Bioinformatics|April 23, 2008
FAMS and FAMSBASE for protein structureHideaki Umeyama, Mitsuo Iwadate
Biophysics and Physicobiology|January 13, 2025
Data-driven score tuning for ChooseLD: A structure-based drug design algorithm with empirical scoring and evaluation of ligand-protein docking predictabilityAkihiro Masuda, Daichi Sadato, Mitsuo Iwadate
BMC Bioinformatics|May 1, 2015
Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart diseaseY-h Taguchi, Mitsuo Iwadate, Hideaki Umeyama
BMC Medical Genomics|August 19, 2016
SFRP1 is a possible candidate for epigenetic therapy in non-small cell lung cancerY-H Taguchi, Mitsuo Iwadate, Hideaki Umeyama
BMC Genomics|December 19, 2014
TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancerHideaki Umeyama, Mitsuo Iwadate, Y-h Taguchi
BMC Systems Biology|February 26, 2014
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targetsRyoichi Kinoshita, Mitsuo Iwadate, Hideaki Umeyama, et al.
Protein and Peptide Letters|July 17, 2013
Bioinformatic screening of autoimmune disease genes and protein structure prediction with FAMS for drug discoveryShigeharu Ishida, Hideaki Umeyama, Mitsuo Iwadate, et al.
Chemical & Pharmaceutical Bulletin|January 5, 2010
Method for predicting homology modeling accuracy from amino acid sequence alignment: the power functionMitsuo Iwadate, Kazuhiko Kanou, Genki Terashi, et al.
Proteins|June 5, 2003
Evaluation of the third solvent clusters fitting procedure for the prediction of protein-protein interactions based on the results at the CAPRI blind docking studyKatsuichiro Komatsu, Youji Kurihara, Mitsuo Iwadate, et al.
Chemical & Pharmaceutical Bulletin|December 3, 2009
FAMSD: A powerful protein modeling platform that combines alignment methods, homology modeling, 3D structure quality estimation and molecular dynamicsKazuhiko Kanou, Mitsuo Iwadate, Tomoko Hirata, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Current Protocols in Bioinformatics|April 23, 2008
FAMS and FAMSBASE for protein structureHideaki Umeyama, Mitsuo Iwadate
Biophysics and Physicobiology|January 13, 2025
Data-driven score tuning for ChooseLD: A structure-based drug design algorithm with empirical scoring and evaluation of ligand-protein docking predictabilityAkihiro Masuda, Daichi Sadato, Mitsuo Iwadate
BMC Bioinformatics|May 1, 2015
Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart diseaseY-h Taguchi, Mitsuo Iwadate, Hideaki Umeyama
BMC Medical Genomics|August 19, 2016
SFRP1 is a possible candidate for epigenetic therapy in non-small cell lung cancerY-H Taguchi, Mitsuo Iwadate, Hideaki Umeyama
BMC Genomics|December 19, 2014
TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancerHideaki Umeyama, Mitsuo Iwadate, Y-h Taguchi
BMC Systems Biology|February 26, 2014
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targetsRyoichi Kinoshita, Mitsuo Iwadate, Hideaki Umeyama, et al.
Protein and Peptide Letters|July 17, 2013
Bioinformatic screening of autoimmune disease genes and protein structure prediction with FAMS for drug discoveryShigeharu Ishida, Hideaki Umeyama, Mitsuo Iwadate, et al.
Chemical & Pharmaceutical Bulletin|January 5, 2010
Method for predicting homology modeling accuracy from amino acid sequence alignment: the power functionMitsuo Iwadate, Kazuhiko Kanou, Genki Terashi, et al.
Proteins|June 5, 2003
Evaluation of the third solvent clusters fitting procedure for the prediction of protein-protein interactions based on the results at the CAPRI blind docking studyKatsuichiro Komatsu, Youji Kurihara, Mitsuo Iwadate, et al.
Chemical & Pharmaceutical Bulletin|December 3, 2009
FAMSD: A powerful protein modeling platform that combines alignment methods, homology modeling, 3D structure quality estimation and molecular dynamicsKazuhiko Kanou, Mitsuo Iwadate, Tomoko Hirata, et al.
Pageof 3