擻搊丂崄丂丂乮偺偲丂偐偍傝乯

Kaori丂Ueno-Noto


杒棦戝妛 堦斒嫵堢晹 帺慠壢妛嫵堢僙儞僞乕 壔妛扨埵
弝嫵庼丂攷巑乮棟妛乯
noto傾僢僩kitasato-u.ac.jp

偍拑偺悈彈巕戝妛 棟妛晹 壔妛壢 懖嬈乮妛巑丒棟妛乯

偍拑偺悈彈巕戝妛戝妛堾 棟妛尋媶壢丂壔妛愱峌乮廋巑丒棟妛乯

擔杮愇桘姅幃夛幮丂拞墰媄弍尋媶強

暷崙僐儘儞價傾戝妛戝妛堾 堛妛晹塰梴妛壢乮M. Sci.乯

偍拑偺悈彈巕戝妛戝妛堾 恖娫暥壔尋媶壢 暋崌椞堟壢妛愱峌乮攷巑丒棟妛乯

偍拑偺悈彈巕戝妛戝妛堾 恖娫暥壔尋媶壢 暋崌椞堟壢妛愱峌丂彆庤

暷崙僥僉僒僗戝妛傾乕儕儞僩儞峑丂攷巑尋媶堳丒島巘

偍拑偺悈彈巕戝妛戝妛堾 恖娫暥壔尋媶壢丂尋媶堳

偍拑偺悈彈巕戝妛丂偍拑戝傾僇僨儈僢僋丒僾儘僟僋僔儑儞丂摿擟儕僒乕僠僼僃儘乕

1. M. Kusumoto, K. Ueno-Noto, K. Takano, 乬Systematic interaction analysis of anti-HIV-1 neutralizing antibodies with high mannose glycans by FMO and MD methods乭 J. Comput. Chem. 2020, 41, 31-42.
2. K. Ueno-Noto, K. Takano, 乬Water Molecules Inside Protein Structure Affect Binding of Monosaccharides with HIV-1 Antibody 2G12 乭 J. Comp. Chem. 2016, 37(26) 2431-2438.
3. Y. Koyama, K. Ueno-Noto, K. Takano, 乬Affinity of HIV-1 antibody 2G12 with monosaccharides: a theoretical study based on explicit and implicit water models乭 Comp. Biol. Chem. 2014, 49 36-44.
4. K. Ueno-Noto, S. Ise, K. Takano, 乬Chemical description of the interaction between glycan ligand and siglec-7 using ab initio FMO method and classical MD simulation乭 J. Theor. Comp. Chem. 2013, 12(7), 1350060-1-1350060-23.
5. Y. Koyama, K. Ueno-Noto, K. Takano, 乬Interaction analysis of HIV-1 antibody 2G12 and Man9GlcNAc2 ligand: Theoretical calculations by fragment molecular orbital and MD methods乭 Chem. Phys. Lett. 2013, 578, 144-149.
6. H. Mori, K. Ueno-Noto ,乬A Theoretical Study of the Physicochemical Mechanisms Associated with DNA Recognition Modulation in Artificial Zinc-Finger Proteins乭 J. Phys. Chem. B 2011, 115, 4774-4780.
7. K. Ueno-Noto, D. S. Marynick, 乬A Comparative Computational Study of Matrix-Peptide Interactions in MALDI Mass Spectrometry: The interaction of four tripeptides with the potential MALDI matrices 2,5-dihyroxybenzioc acid, a-cyano-4-hydroxy-cinnamic acid and 3,5-dihyroxybenzioc acid乭 Mol. Phys. 2009, 107, 777-788.
8. H. Mori, K. Ueno-Noto, Y. Osanai, T. Noro, T. Fujiwara, M Klobukowski, E. Miyoshi, 乬Revised Model Core Potentials for Third Row Transition Metal Atoms from Lu to Hg乭 Chem. Phys. Lett., 2009, 476, 317-322.
9. C. S. P. Gamage, K. Ueno-Noto, D. S. Marynick, 乬Computational Studies of Gas-Phase Ca3P2 and Ca6P4乭 J. Phys. Chem. A 2009, 113, 9737-9740.
10. K. Ueno-Noto, M. Hara-Yokoyama, K. Takano, 乬Inhibitory effect of NAD glycohydrolase by ganglioside: estimating solvation effects in physiological environment by ONIOM method乭 Bull. Chem. Soc. Jpn. 2008, 81, 1062-1071.
11. K. Ueno-Noto, M. Hara-Yokoyama, K. Takano, 乬Recognition of tandem sialic acid residues by CD38: A theoretical study乭 J. Comput. Chem. 2006, 27, 53-60.
12. H. Zeng, Z. A. Schelly, K. Ueno-Noto, D. S. Marynick, 乬Density Functional Study of the Structures of Lead Sulfide Clusters (PbS)n (n =1-9)乭 J. Phys. Chem. A 2005, 109, 1616-1620.
13. M. Hara-Yokoyama, H. Ito, K. Ueno-Noto, K. Takano, H. Ishida, M.Kiso 乬Novel Sulfated Gangliosides, High-Affinity Ligands for Neural Siglecs, Inhibit NADase Activity of Leukocyte Cell Surface Antigen CD38乭 Bioorganic & Medicinal Chem. Lett., 2003, 13, 3441-3445.
14. K. Ueno, U. Nagashima, K. Takano, H. Hosoya, 乬Spherical charge analysis with ab initio wave functions: Modified oxidation number of open shell molecules, CH2乭 Bull. Chem. Soc. Jpn. 1995, 68, 1551-1557.

1. K. Ueno-Noto, K. Takano, M. Hara-Yokoyama 乬Substrate Recognition by Enzymes: a Theoretical Study乭 Computational Systems bioinformatics CSB2003 Proceedings, 2003, 462-463. 丂
2. 戦栰宨巕,擻搊崄 乬峺慺偵傛傞摐嵔擣幆偺婡峔丂亅寁嶼壔妛偐傜偺傾僾儘乕僠亅乭, 壔妛岺嬈, 2003, 54, 766-770.

戞 23夞擔杮摐幙妛夛丂戞6夞億僗僞乕徿丂

嵿抍朄恖枴偺慺彠妛夛丂彠妛嬥

戞 2夞擔杮壔妛夛娭搶巟晹戝夛丂桪廏億僗僞乕徿

曐堜乕崟揷彠妛嬥

2021乣2023 壢妛尋媶旓彆惉帠嬈( 妛弍尋媶彆惉婎嬥彆惉嬥)丂 婎斦尋媶(C)
丂丂丂丂丂丂21K12112 乽儕僈儞僪偺懡壙寢崌偵傛傞暘巕擣幆婡峔傪桳偡傞惗懱暘巕娫憡屳嶌梡偺夝愅庤朄偺妋棫乿

2018乣2020 壢妛尋媶旓彆惉帠嬈( 妛弍尋媶彆惉婎嬥彆惉嬥)丂 婎斦尋媶(C)
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2015乣2018丂壢妛尋媶旓彆惉帠嬈( 妛弍尋媶彆惉婎嬥彆惉嬥)丂 婎斦尋媶(C)
丂丂丂丂丂丂15K00406 乽暋嶨側擣幆婡峔傪桳偡傞惗懱暘巕娫憡屳嶌梡偺夝愅庤朄偺妋棫乿

2012乣2014丂壢妛尋媶旓彆惉帠嬈( 妛弍尋媶彆惉婎嬥彆惉嬥)丂 婎斦尋媶(C)
丂丂丂丂丂丂24500363 乽惗懱暘巕撪偺悈暘巕婡擻傪峫椂偟偨惗懱暘巕娫憡屳嶌梡偺夝愅庤朄偺奐敪偲墳梡乿

2007 丂丂丂丂嵿抍朄恖枴偺慺彠妛夛丂彠妛嬥 尋媶堦帪嬥

擔杮壔妛夛丄擔杮摐幙妛夛丄忣曬寁嶼壔妛惗暔妛夛丄暘巕壢妛夛丄傾儊儕僇壔妛夛

嫵堳徯夘偵傕偳傞