Research Achievments

Publications

  1. “Survival of HER2-positive primary breast cancer patients treated by neoadjuvant chemotherapy plus trastuzumab: a multi center retrospective observational study (JBCRG-C03 study).” Takada M, Ishiguro H, Nagai S, Ohtani S, Kawabata H, Yanagita Y, Hozumi Y, Shimizu C, Takao S, Sato N, Kosaka Y, Sagara Y, Iwata H, Ohno S, Kuroi K, Masuda N, Yamashiro H, Sugimoto M, Kondo M, Naito Y, Sasano H, Inamoto T, Morita S, Toi M. Breast Cancer Res Treat 2014 Mar 30. [Epub ahead of print] Journal Site
  2. “Contribution of quantitative changes in individual ionic current systems to the embryonic development of ventricular myocytes: a simulation study.” Okubo C, Sano HI, Naito Y, Tomita M. J Physiol Sci. 63(5):355-67 (2013) Open Access PDF
  3. “Predictions of the pathological response to neoadjuvant chemotherapy in patients with primary breast cancer using a data mining technique.” Takada M, Sugimoto M, Ohno S, Kuroi K, Sato N, Bando H, Masuda N, Iwata H, Kondo M, Sasano H, Chow LW, Inamoto T, Naito Y, Tomita M, Toi M. Breast Cancer Res Treat 134:661-70 (2012) Journal Site
  4. “Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model” Takada M, Sugimoto M, Naito Y, Moon HG, Han W, Noh DY, Kondo M, Kuroi K, Sasano H, Inamoto T, Tomita M, Toi M. BMC Med Inform Decis Mak 12:54 (2012) Open Access PDF
  5. “Computational assessment of insulin secretion and insulin sensitivity from 2-h oral glucose tolerance tests for clinical use for type 2 diabetes” Seike M, Saitou T, Kouchi Y, Ohara T, Matsuhisa M, Sakaguchi K, Tomita K, Kosugi K, Kashiwagi A, Kasuga M, Tomita M, Naito Y, Nakajima H.  J Physiol Sci. 61(4):321-30. (2011) Open Access PDF
  6. “Predictive value of CD24 and CD44 for neoadjuvant chemotherapy response and prognosis in primary breast cancer patients” Horiguchi K, Toi M, Horiguchi S, Sugimoto M, Naito Y, Hayashi Y, Ueno T, Ohno S, Funata N, Kuroi K, Tomita M, Eishi1 YJ. Med. Dent. Sci. 57:165-175 (2010) PDF
  7. “Construction of a biological tissue model based on a single-cell model: a computer simulation of metabolic heterogeneity in the liver lobule” Ohno H, Naito Y, Nakajima H, Tomita M. Artif Life. 14(1):3-28. (2008) Open Access PDF Summary
  8. “Simulation of developmental changes in action potential with ventricular cell models” Itoh H, Naito Y, Tomita M., Syst Synth Biol. 1(1):11-23. (2007) Open Access PDF
  9. “A trial of somatic gene targeting in vivo with an adenovirus vector.” Ino A, Naito Y, Mizuguchi H, Handa N, Hayakawa T, Kobayashi I., Genet Vaccines Ther. 3:8. (2005) Open Access PDF
  10. “E-CELL 2: Multi-platform E-CELL simulation system” Takahashi K, Ishikawa N, Sadamoto Y, Sasamoto H, Ohta S, Shiozawa A, Miyoshi F, Naito Y, Nakayama Y, Tomita M., Bioinformatics. 19(13): 1727-1729. (2003) Open Access PDF
  11. “A DNA methyltransferase can protect the genome from postdisturbance attack by a restriction-modification gene complex” Takahashi N, Naito Y, Handa N, Kobayashi I., J Bacteriol. 184(22):6100-8. (2002) Open Access PDF
  12. “Evolution of sequence recognition by restriction-modification enzymes: selective pressure for specificitydecrease” Chinen A, Naito Y, Handa N, Kobayashi I., Mol Biol Evol. 17(11):1610-9. (2000) Open Access PDF
  13. “Mutation correction by homologous recombination with an adenovirus vector” Fujita-Kusano A, Naito Y, Saito I, Kobayashi I., Methods Mol Biol. 133:101-9. (2000) Journal Site
  14. “Selfish restriction modification genes: resistanceof a resident R/M plasmid to displacement by an incompatible plasmid mediatedby host killing” Naito Y, Naito T, Kobayashi I., Biol Chem. 379(4-5):429-36. (1998) Journal Site
  15. “Genetic diagnosis by polymerase chain reaction and electrospray ionization mass spectrometry: detection of five base deletion from blood DNA of a familial adenomatous polyposis patient” Naito, Y., Ishikawa, K., Koga, Y., Tsuneyoshi, T., Terunuma, H., Arakawa, R., J. Am. Soc. Mass Spectrom 8:737-742. (1997) Journal Site
  16. “Mass spectrometric gene diagnosis of one-base substitution from polymerase chain reaction amplified human DNA” Tsuneyoshi T, Ishikawa K, Koga Y, Naito Y, Baba S, Terunuma H, Arakawa R,Prockop DJ., Rapid Commun Mass Spectrom.11(7):719-22. (1997) Journal Site
  17. “Molecular mass measurement of polymerase chain reaction products amplified from human blood DNA by electrospray ionization mass spectrometry” Naito Y, Ishikawa K, Koga Y, Tsuneyoshi T, Terunuma H, Arakawa R., Rapid Commun Mass Spectrom.9(15):1484-6. (1995) Journal Site

邦文原著論文

  1. 糖尿病モデルによる病態推定, 高地 泰浩, 斉藤 太計雄, 清家 聖嘉, 浅野 薫, 内藤 泰宏, 中島 弘, 電子情報通信学会技術研究報告(MEとバイオサイバネティックス), 105(221):23-26 (2005.07)

邦文総説

  1. 生命を計算して理解する，内藤 泰宏，KEIO SFC Journal, 13(2):49-60 (2014.03) PDF
  2. データ駆動の乳がん診断支援・病態予測，内藤 泰宏，がん分子標的治療, 8(2):143-148 (2010.04)
  3. 細胞・組織シミュレーションの現状　薬効・毒性の予測にむけて, 内藤 泰宏, ファルマシア, 44(9):885-889 (2008.09)
  4. E-CELLプロジェクト, 内藤 泰宏, MEDICAL IMAGING TECHNOLOGY, 26(2):105-110 (2008.03)
  5. システムバイオロジーによる糖尿病の診断解析, 中島 弘, 内藤 泰宏, 高地 泰浩, 医薬ジャーナル, 42(7):1860-1865 (2006.07)
  6. 細胞シミュレーションは何をもたらすか？, 内藤 泰宏, 分子心血管病, 4(5):470-476 (2003.10)
  7. より高精度な細胞シミュレーションの実現に向けて, 内藤 泰宏, 冨田 勝, 最新医学, 58(6月増刊):1606-1616 (2003.06)
  8. E-Cell　細胞シミュレーションの可能性, 内藤 泰宏, 冨田 勝, 血管医学, 3(5):459-468 (2002.10)
  9. 細胞シミュレーション　E-CELLプロジェクトの挑戦, 内藤 泰宏, 冨田 勝, BME, 16(1):36-42 (2002.01)
  10. 制限修飾酵素によるプログラム細胞死, 内藤 泰宏, 小林 一三, Surgery Frontier, 3(3):268-270 (1996.09)
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