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1

Pancani, Roberta, Alessandra Pagano, Marta Lomi, Elisabetta Casto, Sara Cappelli, and Alessandro Celi. "Farmaci antitumorali e tromboembolismo venoso." Cardiologia Ambulatoriale 31, no. 2 (2023): 139–48. http://dx.doi.org/10.17473/1971-6818-2023-2-6.

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Studi di popolazione hanno evidenziato un incremento dell’incidenza di tromboembolismo venoso (TEV) nei pazienti neoplastici in corso di trattamento con farmaci antitumorali. Sono state condotte ricerche cliniche allo scopo di chiarire il possibile ruolo di singoli agenti antitumorali nella modulazione del rischio di TEV, riscontrando fra essi alcune differenze. Gli studi disponibili presentano diversi limiti: non consentono un confronto diretto tra molecole poiché gli schemi di trattamento si basano generalmente su combinazioni di farmaci e spesso per ricavare dati su una singola molecola è n
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2

Marcucci, Guido, Drew Watson, Shweta Kapoor, et al. "Superior therapy response predictions for patients with acute myeloid leukemia (AML) using Cellworks Singula: MyCare-009-01." Journal of Clinical Oncology 38, no. 15_suppl (2020): e19502-e19502. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19502.

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e19502 Background: Despite using cytogenetic and molecular-risk stratification and precision medicine, the current overall outcome of AML patients remains relatively poor. Therapy selection is often based on information considering only cytogenetics and single molecular aberrations and ignoring other patient-specific omics data that could potentially enable more effective treatments. The Cellworks Singula™ report predicts response for physician prescribed therapies (PPT) using the novel Cellworks Omics Biology Model (CBM) to simulate downstream molecular effects of cell signaling, drugs, and r
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3

Stein, Anthony Selwyn, Drew Watson, Shweta Kapoor, et al. "Superior therapy response predictions for patients with myelodysplastic syndrome (MDS) using Cellworks Singula: MyCare-009-02." Journal of Clinical Oncology 38, no. 15_suppl (2020): e19528-e19528. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19528.

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e19528 Background: Despite using cytogenetic and molecular-risk stratification and precision medicine, the current overall outcome of MDS patients remains relatively poor. Therapy selection is often based on information considering only cytogenetics and single molecular aberrations and ignoring other patient-specific omics data that could potentially enable more effective treatments. The Cellworks Singula™ report predicts response for physician prescribed therapies (PPT) using the novel Cellworks Omics Biology Model (CBM) to simulate downstream molecular effects of cell signaling, drugs, and r
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4

Wen, Patrick Y., Drew Watson, Shweta Kapoor, et al. "Superior therapy response predictions for patients with glioblastoma (GBM) using Cellworks Singula: MyCare-009-03." Journal of Clinical Oncology 38, no. 15_suppl (2020): 2519. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2519.

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2519 Background: Despite using cytogenetic and molecular-risk stratification and precision medicine, the current overall outcome of GBM patients remains relatively poor. Therapy selection is often based on information considering only a single aberration and ignoring other patient-specific omics data which could potentially enable more effective treatment selection. The Cellworks Singula™ report predicts response for physician prescribed therapies (PPT) using the novel Cellworks Omics Biology Model (CBM) to simulate downstream molecular effects of cell signaling, drugs, and radiation on patien
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5

Ahluwalia, Manmeet Singh, Drew Watson, Shweta Kapoor, et al. "Superior therapy response predictions for patients with low-grade glioma (LGG) using Cellworks Singula: MyCare-009-04." Journal of Clinical Oncology 38, no. 15_suppl (2020): 2569. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2569.

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2569 Background: Despite using cytogenetic and molecular-risk stratification and precision medicine, the current overall outcome of LGG patients remains relatively poor. Therapy selection is often based on information considering only a single aberration and ignoring other patient-specific omics data which could potentially enable more effective treatments. The Cellworks Singula report predicts response for physician prescribed therapies (PPT) using the novel Cellworks Omics Biology Model (CBM) to simulate downstream molecular effects of cell signaling, drugs, and radiation on patient-specific
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6

Marcucci, Guido, Drew Watson, Prashant Ramachandran Nair, et al. "Assessment of Cellworks Omics Biosimulation Therapy Response Predictions for Patients with Acute Myeloid Leukemia (AML) Using Cellworks Singula™: Mycare-020-01." Blood 136, Supplement 1 (2020): 35. http://dx.doi.org/10.1182/blood-2020-142184.

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Background. In addition to clinical considerations (e.g., age, de novo vs secondary disease, comorbidities), therapy selection for AML patients is often based on information considering only cytogenetics and/or molecular aberrations and ignoring other patient-specific omics information that could potentially enable selection of more effective treatments. In turn, despite using cytogenetic and molecular-risk stratification, the current overall outcome of AML patients remains relatively poor. The Cellworks Singula™ report predicts clinical response to physician-prescribed treatments using the no
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7

Stein, Anthony S., Drew Watson, Prashant Ramachandran Nair, et al. "Superior Therapy Response Predictions for Patients with Myelodysplastic Syndrome (MDS) Using Cellworks Singula™: Mycare-020-02." Blood 136, Supplement 1 (2020): 9–10. http://dx.doi.org/10.1182/blood-2020-142214.

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Background: Therapy selection for MDS patients is often based on information considering only cytogenetics and single molecular aberrations and ignoring other patient-specific omics data that could potentially enable more effective treatments. In turn, despite using cytogenetic and molecular-risk stratification and precision medicine, the current overall outcome of MDS patients remains relatively poor. The Cellworks Singula™ report predicts response for physician prescribed treatments using the novel Cellworks Omics Biology Model (CBM) to simulate downstream molecular effects of cell signaling
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8

Velcheti, Vamsidhar, Michael Castro, Drew Watson, et al. "Superior overall survival (OS), progression-free survival (PFS), and clinical response (CR) predictions for patients with non-small cell lung cancer (NSCLC) using Cellworks Singula: myCare-022-05." Journal of Clinical Oncology 39, no. 15_suppl (2021): 9117. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.9117.

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9117 Background: The Cellworks Singula Therapeutic Response Index (TRI) has been developed to assist clinicians and NSCLC patients in choosing between competing therapeutic options. In contrast to approaches that consider single aberrations, which often yield limited benefit, Cellworks utilizes an individual patient’s next generation sequencing results and a mechanistic multi-omics biology model, the Cellworks Omics Biology Model (CBM), to biosimulate downstream molecular effects of cell signaling, drugs, and radiation on patient-specific in silico diseased cells. For any individual patient an
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9

Wen, Patrick Y., Michael Castro, Drew Watson, et al. "Superior overall survival (OS) and disease-free survival (DFS) predictions for patients with glioblastoma multiforme (GBM) using Cellworks Singula: myCare-022-03." Journal of Clinical Oncology 39, no. 15_suppl (2021): 2017. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.2017.

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2017 Background: The Cellworks Singula Therapeutic Response Index (TRI) has been developed to assist clinicians and GBM patients in choosing between competing therapeutic options. In contrast to approaches that consider single aberrations, which often yield limited benefit, Cellworks utilizes an individual patient’s next generation sequencing results and a mechanistic multi-omics biology model, the Cellworks Omics Biology Model (CBM), to biosimulate downstream molecular effects of cell signaling, drugs, and radiation on patient-specific in silico diseased cells. For any individual patient and
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10

Goglia, U. "Incretins in healthy and type 2 diabetic people." Journal of AMD 27, no. 2 (2024): 96. http://dx.doi.org/10.36171/jamd24.27.2.3.

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Nell’ultima decade abbiamo osservato sempre maggiormente la diffusione e l’utilizzo di farmaci analoghi recettoriali degli ormoni incretinici nella gestione e nel trattamento di soggetti con diabete mellito tipo 2 ed affetti da obesità. Infatti dalla pubblicazione sul New England Journal of Medicine dello studio Leader nel 2016, che valutava gli effetti cardiovascolari della liraglutide, numerose ulteriori evidenze hanno confermato i benefici clinici degli analoghi recettoriali singoli e doppi di tali ormoni. Ma quale è il ruolo specifico di tali molecole (Glucagon-like Peptide-1 [GLP-1] e Glu
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11

Sanitaria, Politica. "Collaborazioni Politica sanitaria Prescrivibilità e rimborsabilità degli SGLT2i. La nota 100 AIFA." Cardiologia Ambulatoriale 30, no. 4 (2023): 251–64. http://dx.doi.org/10.17473/1971-6818-2022-4-9.

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Avendo raccolto numerose istanze da parte dei nostri lettori ed avendo effettivamente constatato che alla luce dei recenti risultati di grandi trials clinici e delle modifiche delle Linee Guida internazionali e quindi in ultimo delle disposizioni di AIFA in merito alla prescrivibilità e rimborsabilità della classe di farmaci denominata chimicamente ‘Gliflozine’ e dal punto di vista farmacodinamico ‘SodioGlucosio Transferasi 2 inibitori (SGLT2i), abbiamo voluto riportare quali siano le regole prescrittive attuali in Italia. Potrebbero esserci modifiche a breve per il riconoscimento di alcune in
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12

Cuesta, Virginia, Maida Vartanian, Pilar de la Cruz, Ganesh D. Sharma, and Fernando Langa. "The Influence of the Central Metal Ion on the Electronic and Photovoltaic Properties of Metalloporphyrins [M= Zn(II), Ni(II), Cu(II), Au(III)] Systems." ECS Meeting Abstracts MA2023-01, no. 15 (2023): 1395. http://dx.doi.org/10.1149/ma2023-01151395mtgabs.

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Although the pioneering use of porphyrins in organic solar cells (OSCs) was disappointing as reported efficiencies were very low, the situation has changed over the last five years as Zn-porphyrins with ABAB structures linked to acceptor units through triple bonds have been applied as donors resulting in efficiencies of up to 12% in binary OSCs and more than 15% in ternary OSCs. The optical and electrochemical properties of porphyrins can be adjusted by molecular design and functionalization on the b or meso positions of the porphyrin ring as well as by introduction of different central metal
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13

Su Yuting, 苏玉婷, та 盖宏伟 Gai Hongwei. "单分子计数免疫分析". Laser & Optoelectronics Progress 59, № 6 (2022): 0617011. http://dx.doi.org/10.3788/lop202259.0617011.

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14

Cuesta, Virginia, Maida Vartanian, Pilar de la Cruz, Ganesh D. Sharma, and Fernando Langa. "Molecular Engineering of Low-Bandgap Porphyrins for Highly Efficient Organic Solarcells." ECS Meeting Abstracts MA2022-01, no. 14 (2022): 981. http://dx.doi.org/10.1149/ma2022-0114981mtgabs.

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Organic solar cells (OSCs) based on solution-processed bulk heterojunction (BHJ) active layers have emerged as promising solutions for the conversion of solar energy into electrical energy in building and indoor applications due to their unique advantages, such as being lightweight and semitrans-parent and the possibility of being processed by low-cost roll-to-roll methods. The BHJ active layer employed for OSCs consists of a blend of an electron-donating material and an electron-accepting material creating internal donor-acceptor heterojunctions, and their optical and electrochemical properti
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15

Yanagida, Toshio. "S2h1-2 Single molecule study for elucidating the mechanism involved in utilizing fluctuations by biosystems(S2-h1: "Single Molecule Analysis of Molecular Motor",Symposia,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S127. http://dx.doi.org/10.2142/biophys.46.s127_1.

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16

Hayashi, Fumio. "1P540 Single-molecular behavior of rhodopsin in native disc membrane(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S281. http://dx.doi.org/10.2142/biophys.46.s281_4.

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17

Ishii, Takaaki, Atsuto Katano, Yoshihiro Murayama, and Masaki Sano. "1P560 Observing mechanical unfolding and folding process of single molecular protein by AFM(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S286. http://dx.doi.org/10.2142/biophys.46.s286_4.

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18

Torisawa, Takayuki, Muneyoshi Ichikawa, Takuya Kobayashi, Takashi Murayama, and Yoko Toyoshima. "3P157 DIFFUSIVE MOVEMENT OF A SINGLE-MOLECULE MAMMALIAN CYTOPLASMIC DYNEIN(Molecular motor,The 48th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 50, supplement2 (2010): S172. http://dx.doi.org/10.2142/biophys.50.s172_4.

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19

LI, Chun-Biu, and Tamiki KOMATSUZAKI. "Handling Noisy Data from Single Molecule Experiments." Seibutsu Butsuri 54, no. 5 (2014): 257–58. http://dx.doi.org/10.2142/biophys.54.257.

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20

Luo Tingdan, 罗婷丹, та 李依明 Li Yiming. "深度学习在单分子定位显微镜中的应用". Chinese Journal of Lasers 49, № 24 (2022): 2407206. http://dx.doi.org/10.3788/cjl202249.2407206.

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21

Iwasaki, Satoshi, Ken'ya Furuta, Toshihiko Sakuma, Masaki Edamatsu, and Yoko Y. Toyoshima. "2P227 Analysis of single molecule motility of mitotic kinesins(37. Molecular motor (II),Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S352. http://dx.doi.org/10.2142/biophys.46.s352_3.

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22

Ritchie, Ken. "S01H3 Single molecule imaging of diffusion in E. Coll membranes(Systems Biology of Intracellular Signaling as Studied by Single-Molecule Imaging)." Seibutsu Butsuri 47, supplement (2007): S1. http://dx.doi.org/10.2142/biophys.47.s1_3.

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23

Noji, Hroyuki. "SINGLE MOLECULE BIOPHYSICS OF F_1-ATPase motor protein." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2007.3 (2007): S1. http://dx.doi.org/10.1299/jsmeapbio.2007.3.s1.

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24

ZHAO Yuehan, 赵悦晗, та 郝翔 HAO Xiang. "多色单分子定位显微技术研究进展(特邀)". ACTA PHOTONICA SINICA 51, № 8 (2022): 0851517. http://dx.doi.org/10.3788/gzxb20225108.0851517.

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25

Wang Siyuan, 王思媛, 刘虹遥 Liu Hongyao, 路鑫超 Lu Xinchao та 黄成军 Huang Chengjun. "等离激元纳米孔用于单分子光学检测的研究进展". Chinese Journal of Lasers 50, № 1 (2023): 0113012. http://dx.doi.org/10.3788/cjl220914.

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26

Liu Yizhe, 刘一哲, 赵唯淞 Zhao Weisong, 刘宇桢 Liu Yuzhen та 李浩宇 Li Haoyu. "自适应混合发射单分子定位算法". Chinese Journal of Lasers 50, № 21 (2023): 2107106. http://dx.doi.org/10.3788/cjl230653.

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27

Cao, Jianshu. "1S5-5 Generic models for single molecule biological processes : Generic models for single molecule biological processes(1S5 Linking single molecule spectroscopy and energy landscape perspectives,The 46th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 48, supplement (2008): S5. http://dx.doi.org/10.2142/biophys.48.s5_1.

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28

Ishiwata, Shin'ichi. "S2h1-4 Hierarchical Construction of Biological Motility System(S2-h1: "Single Molecule Analysis of Molecular Motor",Symposia,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S127. http://dx.doi.org/10.2142/biophys.46.s127_3.

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29

P, Srivastava. "Comparative Modeling and Molecular Interaction Study for the Management of AMD and CRVO Ocular Disorder." Open Access Journal of Ophthalmology 8, no. 1 (2023): 1–13. http://dx.doi.org/10.23880/oajo-16000263.

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Age Related Macular Degeneration (AMD) and Central Retinal Vein Occlusion (CRVO) are the rare and leading cause of blindness among patients with ocular problem. Many proteins are reported in the progression of these ocular disorders. Proteins which are directly involved in the development of this disorder reported in the literature, their sequence related information retrieved from biological databases. In silico technique was implemented in order to characterize the properties and structures of the proteins using ProtParam. For studying about the potential phosphorylation sites in protein gen
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30

Fernandez, Julio M. "S3B1 Protein mechanics studied with single molecule AFM techniques.(Single Molecure Dynamics and Reactions)." Seibutsu Butsuri 42, supplement2 (2002): S13. http://dx.doi.org/10.2142/biophys.42.s13_4.

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31

Sei, Kazuto, Akinori Baba, Chun Biu Li, and Tamiki Komatsuzaki. "1P537 Randomness and Memory in Single Molecule Time Series(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S281. http://dx.doi.org/10.2142/biophys.46.s281_1.

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32

Yang Jianyu, 杨建宇, 董浩 Dong Hao, 邢福临 Xing Fulin, 胡芬 Hu Fen, 潘雷霆 Pan Leiting та 许京军 Xu Jingjun. "单分子定位超分辨成像技术进展及应用". Laser & Optoelectronics Progress 58, № 12 (2021): 1200001. http://dx.doi.org/10.3788/lop202158.1200001.

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33

Lin Zhaojun, 林昭珺, 常桓梽 Chang Huanzhi та 李依明 Li Yiming. "高通量单分子定位显微成像技术进展(特邀)". Laser & Optoelectronics Progress 61, № 6 (2024): 0618004. http://dx.doi.org/10.3788/lop232570.

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34

Qiao Yuyuan, 乔钰媛, 张亦晴 Zhang Yiqing, 陈太龙 Chen Tailong, 曹健 Cao Jian, 刘建丽 Liu Jianli та 徐帆 Xu Fan. "单分子定位超分辨显微技术在神经生物学中的应用(特邀)". Chinese Journal of Lasers 52, № 9 (2025): 0907301. https://doi.org/10.3788/cjl241349.

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35

Kinosita, Kazuhiko. "S2h1-1 Probing motor dynamics with huge and small tags(S2-h1: "Single Molecule Analysis of Molecular Motor",Symposia,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S126. http://dx.doi.org/10.2142/biophys.46.s126_4.

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36

Hirokawa, Nobutaka. "S2h1-3 Mechanism of Motility of Monomeric Motor, KIF 1A(S2-h1: "Single Molecule Analysis of Molecular Motor",Symposia,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S127. http://dx.doi.org/10.2142/biophys.46.s127_2.

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37

Takeda, Mizuho, Hiromi Imamura, Katsuya Shimabukuro, Chiyo Ikeda, Masasuke Yoshida, and Ken Yokoyama. "1P533 Mechanism of Inhibition of the V-type Molecular Motor by Tributyltin Chloride(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S280. http://dx.doi.org/10.2142/biophys.46.s280_1.

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38

Gopich, Irina V. "1S5-4 Decoding the pattern of photon colors in single-molecule FRET : Decoding the pattern of photon colors in single-molecule FRET(1S5 Linking single molecule spectroscopy and energy landscape perspectives,The 46th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 48, supplement (2008): S4—S5. http://dx.doi.org/10.2142/biophys.48.s4_6.

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39

Fujisawa, Ryo, Daichi Okuno, and Hiroyuki Noji. "1P526 Single-molecule analysis of F_1-motor loaded with nonhydrolyzable substrate(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S278. http://dx.doi.org/10.2142/biophys.46.s278_2.

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Ueno, Taro, Takashi Tanii, Naonobu Shimamoto, et al. "1P542 Single molecule imaging of chaperonin functions using zero-mode waveguides(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S282. http://dx.doi.org/10.2142/biophys.46.s282_2.

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Otsuka, Shotaro, Hirohide Takahashi, and Shige H. Yoshimura. "1P543 Single-molecule structural and functional analyses of nuclear pore complex(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S282. http://dx.doi.org/10.2142/biophys.46.s282_3.

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42

Morimatsu, Miki, Hiroaki Takagi, Kosuke Ohta, Toshio Yanagida, and Yasushi Sako. "1P547 Kinetic analysis of EGFR/Grb2 interactions using single-molecule imaging(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S283. http://dx.doi.org/10.2142/biophys.46.s283_3.

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43

Nguyen, Anh Thi Van, Y. Kamio, and H. Higuchi. "1H1430 Single-Molecule Visualization of Hemolysin Assembly on Erythrocyte Membranes." Seibutsu Butsuri 42, supplement2 (2002): S44. http://dx.doi.org/10.2142/biophys.42.s44_3.

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Wu Jie, 武杰, 黄嘉玲 Huang Jialing, 王越 Wang Yue, 李政昊 Li Zhenghao, 周文超 Zhou Wenchao та 吴一辉 Wu Yihui. "基于单分子检测原理的MicroRNA超灵敏检测研究". Acta Optica Sinica 43, № 13 (2023): 1317001. http://dx.doi.org/10.3788/aos230453.

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Ueno, Hiroshi, Kazuhito Tabata, Toshiharu Suzuki, Toru Ide, Masasuke Yoshida, and Hiroyuki Noji. "1P528 Development of the Single Molecule Imaging System of the F_0 Motor(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S278. http://dx.doi.org/10.2142/biophys.46.s278_4.

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46

Thumkeo, Dean, Takuji Yoshihara, Toshio Yanagida, and Masahiro Ueda. "1P538 Single-molecule imaging of Ras-PI3K signaling in chemotaxing Dictyostelium cells(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S281. http://dx.doi.org/10.2142/biophys.46.s281_2.

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47

Baba, Akinori, and Tamiki Komatsuzaki. "1P539 Applicability of local ergodic state analysis of single molecule time series(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S281. http://dx.doi.org/10.2142/biophys.46.s281_3.

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48

Yokota, Hiroaki, Yong-Woon Han, Jean-Francois Allemand, et al. "1P556 Novel microscopy for simultaneous single molecule measurement of DNA/protein interaction(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S285. http://dx.doi.org/10.2142/biophys.46.s285_4.

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49

Taniguchi, Masateru. "1SBP-04 Single Molecule Electrical Sequencing of DNA and microRNA(1SBP Advanced Single Molecule Sequencing System,Symposium,The 51th Annual Meeting of the Biophysical Society of Japan)." Seibutsu Butsuri 53, supplement1-2 (2013): S87. http://dx.doi.org/10.2142/biophys.53.s87_5.

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Nakamura, Mariko, Hiroshi Ueno, Hiromi Imamura, and Hiroyuki Noji. "1P525 Designing a mutant F_1-ATPase for easy and rapid single molecule analysis(26. Single molecule biophysics,Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S278. http://dx.doi.org/10.2142/biophys.46.s278_1.

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