講演・口頭発表等 - 杉本 直己
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New Data Science in Nucleic Acids Chemistry (20) : G-quadruplex DNA formations depending on the environments in the mitochondrial matrix
L. Liu, S. Takahashi, G. Sarptarshi, T. Endoh, N. Yoshinaga, K. Numata, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (19): ATP regulates the DNA stability through structure-dependent cation exchange
S. Das, S. Takahashi, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (18) : Comparison of the stability of DNA duplexes among normal and cancer cells
K. Chen, H. Tateishi-Karimata, S. Takahashi, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids (17): Development of a pseudo-cellular system with different molecular crowding environments
M. Takatsu, H. Tateishi-Karimata, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (16) : Cellular compartment size as a critical factor in the stability and function of nucleic acids
S. Sarkar, H. Tateishi-Karimata, K. Matsuura, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (15): Universal prediction of DNAzyme activity using new nearest neighbor parameters and AI
S.Takahashi, T. Nishimura, S. Ghosh, H. Tateishi-Karimata, T. Fukunaga, M. Hamada, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (14), Development of methods to predict RNA secondary structures in cells
H. Tateishi-Karimata, D. Banerjee, S. Takahashi, T. Nishimura, T. Fukunaga, M. Hamada, M. Orehova, J. Plavec, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (13): Global and local molecular crowding effects depending on the size of crowding cosolute on stability of pseudoknot RNA
T. Endoh, S. Satpathi, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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New Data Science in Nucleic Acids Chemistry (12) : Role of groove hydration on stability and functions of biased DNA duplexes
N. Sugimoto, S. Ghosh, S. Takahashi, T. Ohyama, L. Liu
日本化学会第105回春季年会
開催年月日： 2025年3月
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Construction of artificial viral capsid encapsulating quadruplex DNA and its intracellular delivery
K. Matsuura, M. Ishii, H. Inaba, T. Endoh, H. Tateshi-Karimata, N. Sugimoto
日本化学会第105回春季年会
開催年月日： 2025年3月
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Quantify specific interactions determining G-quadruplex and i-motif formation during cancer progression
H. Tateishi-Karimata, K. Kawauchi, S. Takahashi, and N. Sugimoto
To B or Not to B Symposium 2025
開催年月日： 2025年3月
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Predictability of environment-dependent formation of the behavior of DNAs in human mitochondria
S. Takahashi, L. Liu, S. Ghosh, T. Endoh, N. Yoshinaga, K. Numata and N. Sugimoto
To B or Not to B Symposium 2025
開催年月日： 2025年3月
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“To B or not to B” in Nucleic Acids Chemistry 招待あり
N. Sugimoto
The Seminar of Department of Pharmacy, University of Naples Federico II (Naples) 2025年2月 University of Naples “Federico II”
開催年月日： 2025年2月
国名：イタリア共和国
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures.1-12 I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated. I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of intracellular analysis and stability prediction are discussed for the application of NN parameters for human health and diseases.
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“To B or not to B” in Nucleic Acids Chemistry 招待あり
N. Sugimoto
The Seminar of Department of Molecular Medicine of the University of Padua (Padua) 2025年1月 University of Padua
開催年月日： 2025年1月
国名：イタリア共和国
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and pplications of predicting the stabilities of nucleic acid structures.1-12 I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated. I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally,studies of ntracellular analysis and stability prediction are discussed for the application of NN parameters for human health and diseases.
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All about “To B or not to B” in Nucleic Acids Chemistry 招待あり
N. Sugimoto
The 7th Asian Chemical Biology Conference 2025 (ACBC) (Kowloon) 2025年1月 The Hong Kong University of Science and Technology
開催年月日： 2025年1月
国名：ホンコン(香港)特別行政区
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures.1-11 I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated. I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of intracellular analysis and stability prediction are discussed for the application of NN parameters for human health and diseases.
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“To B or not to B” in Nucleic Acids Chemistry 招待あり
N. Sugimoto
Special Departmental Seminar of Chemistry Department of City University of Hong Kong (Kowloon) 2025年1月 City University of Hong Kong
開催年月日： 2025年1月
国名：ホンコン(香港)特別行政区
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures.1-11 I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated. I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of intracellular analysis and stability prediction are discussed for the application of NN parameters for human health and diseases.
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"To B or not to B” in Nucleic Acids Chemistry 招待あり
N. Sugimoto
the 11th Asian Biological Inorganic Chemistry Conference (Guilin) 2024年12月 Asian Bioinorganic Chemistry Steering Committee
開催年月日： 2024年12月
国名：中華人民共和国
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures. I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated.1-6 I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of ligands binding to canonical and non-canonical structures of nucleic acids are discussed for human health and diseases.
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神経変性疾患に関わる核酸の周辺環境に依存した構造解析とその制御, 福岡国際会議場・マリンメッセ福岡
建石寿枝, 杉本直己
第50回日本分子生物学会年会
開催年月日： 2024年11月
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To B Or Not To B” In Nucleic Acids Chemistry 招待あり
N. Sugimoto
Solutions in Chemistry 2024 (Sveti Martin na Muri) 2024年11月 The Croatian Chemical Society
開催年月日： 2024年11月
国名：クロアチア共和国
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures. I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated.1-6 I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of ligands binding to canonical and non-canonical structures of nucleic acids are discussed for human health and diseases.
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Beyond the Watson-Crick Double Helix: Make New History of Nucleic Acids (9) 招待あり
N. Sugimoto
Asia 3 Roundtable on Nucleic Acids 2024 (Busan) 2024年11月 A3RONA 2024 Organizing Committee
開催年月日： 2024年11月
国名：大韓民国
Nucleic acids (DNA and RNA) are genetic materials in living organisms and formed by a sequence of nucleobases. The stability of nucleic acids structures cannot be determined from only the sequence composition, as this property critically depends on the surrounding environment of the solution. The intracellular condition is greatly different from that of the diluted buffer typically used for standard experiments and is not constant in each local area of the cell. Thus, to make excellent nanomaterials with nucleic acids working in cells, stability predictions should reflect the situation under intracellular conditions and are required importantly. In this lecture, I will provide an overview of the basic concepts, methods, and applications of predicting the stabilities of nucleic acid structures. I explain the theory of the most successful prediction method based on a nearest-neighbor (NN) model. To improve the versality of prediction, corrections for various solution conditions considered hydration have been investigated. I also describe advances in the prediction of non-canonical structures of G-quadruplexes and i-motifs. Finally, studies of intracellular analysis and stability prediction are discussed for the application of NN parameters for human health and diseases.