Ishitani, Ryuichiro
Institute of Science Tokyo
15 papers on CoChatORCID 0000-0002-4136-5685
Most cited papers
- Verified
Crystal structure of Cas9 in complex with guide RNA and target DNA
Nishimasu, H., Ran, F. A., Hsu, P. D., Konermann, S., Shehata, S. I., Dohmae, N., Ishitani, R., Zhang, F., & Nureki, O. (2014) · Cell
CRISPR and Genetic EngineeringRNA regulation and disease
Cited by 2,306
- Verified
Engineered CRISPR-Cas9 nuclease with expanded targeting space
Nishimasu, H., Shi, X., Ishiguro, S., Gao, L., Hirano, S., Okazaki, S., Noda, T., Abudayyeh, O. O., Gootenberg, J. S., Mori, H., et al. (2018) · Science
CRISPR and Genetic EngineeringRNA regulation and disease
Cited by 1,100
- Verified
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
Takamoto, S., Shinagawa, C., Motoki, D., Nakago, K., Li, W., Kurata, I., Watanabe, T., Yayama, Y., Iriguchi, H., Asano, Y., et al. (2022) · Nature Communications
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 446
- Verified
Structure and function of a membrane component SecDF that enhances protein export
Tsukazaki, T., Mori, H., Echizen, Y., Ishitani, R., Fukai, S., Tanaka, T., Perederina, A., Vassylyev, D. G., Kohno, T., Maturana, A. D., et al. (2011) · Nature
Bacterial Genetics and BiotechnologyHeat shock proteins research
Cited by 219
- Verified
Structural basis for the altered PAM specificities of engineered CRISPR-cas9
Hirano, S., Nishimasu, H., Ishitani, R., & Nureki, O. (2016) · Molecular Cell
CRISPR and Genetic EngineeringRNA regulation and disease
Cited by 152
- Verified
Outward- and inward-facing structures of a putative bacterial transition-metal transporter with homology to ferroportin
Taniguchi, R., Kato, H. E., Font, J., Deshpande, C. N., Wada, M., Ito, K., Ishitani, R., Jormakka, M., & Nureki, O. (2015) · Nature Communications
Iron Metabolism and DisordersProtein Structure and Dynamics
Cited by 120
- Verified
Mg2+‐dependent gating of bacterial MgtE channel underlies Mg2+ homeostasis
Hattori, M., Iwase, N., Furuya, N., Tanaka, Y., Tsukazaki, T., Ishitani, R., Maguire, M. E., Ito, K., Maturana, A., & Nureki, O. (2009) · The EMBO Journal
Ion channel regulation and functionMagnesium in Health and Disease
Cited by 109
- Verified
Structural basis for the altered PAM recognition by engineered CRISPR-Cpf1
Nishimasu, H., Yamano, T., Gao, L., Zhang, F., Ishitani, R., & Nureki, O. (2017) · Molecular Cell
CRISPR and Genetic EngineeringRNA regulation and disease
Cited by 102
- Verified
Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction
Ishitani, R., & Moriwaki, Y. (2025) · ACS Omega
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 19
- Verified
Improving Stereochemical Limitations in Protein–Ligand Complex Structure Prediction
Ishitani, R., & Moriwaki, Y. (2025) · ACS Omega
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 19
- Verified
Functional roles of Mg2+ binding sites in ion-dependent gating of a Mg2+ channel, MgtE, revealed by solution NMR
Maruyama, T., Imai, S., Kusakizako, T., Hattori, M., Ishitani, R., Nureki, O., Ito, K., Maturana, A. D., Shimada, I., & Osawa, M. (2018) · eLife
Ion channel regulation and functionMagnesium in Health and Disease
Cited by 17
- Verified
GenSPARC: Generalized Structure- and Property-Aware Representations of Language Models for Compound-Protein Interaction Prediction
Tomita, A., Zhang, Y., Takemoto, M., & Ishitani, R. (2025) · Communications Chemistry
Computational Drug Discovery MethodsMachine Learning in Bioinformatics
Cited by 1
- Verified
Generalizable compound protein interaction prediction with a model incorporating protein structure aware and compound property aware language model representations
Zhang, Y., Ishitani, R., Takemoto, M., & Tomita, A. (2025) · Communications Chemistry
Computational Drug Discovery MethodsMachine Learning in Bioinformatics
Cited by 1
- Verified
Multi-objective optimization for designing structurally similar proteins with dissimilar sequences
Akiba, R., Moriwaki, Y., Ishitani, R., & Yoshikawa, N. (2026) · Science and Technology of Advanced Materials: Methods
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 1
- Verified
Multi-objective optimization for designing structurally similar proteins with diverse sequences
Akiba, R., Moriwaki, Y., Ishitani, R., & Yoshikawa, N. (2025) · Science and Technology of Advanced Materials Methods
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 1
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