日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Insights into G-protein coupling preference from cryo-EM structures of G(q)-bound PTH1R.

从 G(q) 结合的 PTH1R 的冷冻电镜结构中了解 G 蛋白偶联偏好。

Sano Fumiya K, Shimizume Kota, Kobayashi Kazuhiro, Awazu Toshikuni, Kawakami Kouki, Akasaka Hiroaki, Kobayashi Takaaki A, Tanaka Tatsuki, Okamoto Hiroyuki H, Hirano Hisato, Kusakizako Tsukasa, Shihoya Wataru, Kise Yoshiaki, Itoh Yuzuru, Ishitani Ryuichiro, Okada Yasushi, Sako Yasushi, Yanagawa Masataka, Inoue Asuka, Nureki Osamu

The reaction mechanism for glycolysis side product degradation by Parkinson's disease-linked DJ-1.

帕金森病相关 DJ-1 介导的糖酵解副产物降解的反应机制

Watanabe Aiko, Ogiwara Shizuka, Saito Mirei, Mishima Masaki, Yamashina Masahiro, Ishitani Ryuichiro, Ito Yutaka, Tanaka Keiji, Koyano Fumika, Yamano Koji, Kosako Hidetaka, Moriwaki Yoshitaka, Matsuda Noriyuki

Generalizable compound protein interaction prediction with a model incorporating protein structure aware and compound property aware language model representations

基于融合蛋白质结构感知和化合物属性感知的语言模型表示的通用化合物蛋白质相互作用预测模型

Zhang, Yiming; Ishitani, Ryuichiro; Takemoto, Mizuki; Tomita, Atsuhiro

Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction

改进蛋白质-配体复合物结构预测中的立体化学局限性

Ishitani, Ryuichiro; Moriwaki, Yoshitaka

Protein ligand binding site prediction using graph transformer neural network

利用图变换神经网络进行蛋白质配体结合位点预测

Ishitani, Ryuichiro; Takemoto, Mizuki; Tomii, Kentaro

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

迈向适用于45种元素任意组合的通用神经网络材料发现潜力

Takamoto, So; Shinagawa, Chikashi; Motoki, Daisuke; Nakago, Kosuke; Li, Wenwen; Kurata, Iori; Watanabe, Taku; Yayama, Yoshihiro; Iriguchi, Hiroki; Asano, Yusuke; Onodera, Tasuku; Ishii, Takafumi; Kudo, Takao; Ono, Hideki; Sawada, Ryohto; Ishitani, Ryuichiro; Ong, Marc; Yamaguchi, Taiki; Kataoka, Toshiki; Hayashi, Akihide; Charoenphakdee, Nontawat; Ibuka, Takeshi

Molecular Design Method Using a Reversible Tree Representation of Chemical Compounds and Deep Reinforcement Learning

基于可逆树状化学化合物表示和深度强化学习的分子设计方法

Ishitani, Ryuichiro; Kataoka, Toshiki; Rikimaru, Kentaro

Lateral access mechanism of LPA receptor probed by molecular dynamics simulation

利用分子动力学模拟探究LPA受体的侧向进入机制

Suenaga, Rieko; Takemoto, Mizuki; Inoue, Asuka; Ishitani, Ryuichiro; Nureki, Osamu

Time-resolved serial femtosecond crystallography reveals early structural changes in channelrhodopsin

时间分辨串行飞秒晶体学揭示了通道视紫红质的早期结构变化

Oda, Kazumasa; Nomura, Takashi; Nakane, Takanori; Yamashita, Keitaro; Inoue, Keiichi; Ito, Shota; Vierock, Johannes; Hirata, Kunio; Maturana, Andrés D; Katayama, Kota; Ikuta, Tatsuya; Ishigami, Itsuki; Izume, Tamaki; Umeda, Rie; Eguma, Ryuun; Oishi, Satomi; Kasuya, Go; Kato, Takafumi; Kusakizako, Tsukasa; Shihoya, Wataru; Shimada, Hiroto; Takatsuji, Tomoyuki; Takemoto, Mizuki; Taniguchi, Reiya; Tomita, Atsuhiro; Nakamura, Ryoki; Fukuda, Masahiro; Miyauchi, Hirotake; Lee, Yongchan; Nango, Eriko; Tanaka, Rie; Tanaka, Tomoyuki; Sugahara, Michihiro; Kimura, Tetsunari; Shimamura, Tatsuro; Fujiwara, Takaaki; Yamanaka, Yasuaki; Owada, Shigeki; Joti, Yasumasa; Tono, Kensuke; Ishitani, Ryuichiro; Hayashi, Shigehiko; Kandori, Hideki; Hegemann, Peter; Iwata, So; Kubo, Minoru; Nishizawa, Tomohiro; Nureki, Osamu

Structural Basis of H(+)-Dependent Conformational Change in a Bacterial MATE Transporter

细菌MATE转运蛋白中H(+)依赖性构象变化的结构基础

Kusakizako, Tsukasa; Claxton, Derek P; Tanaka, Yoshiki; Maturana, Andrés D; Kuroda, Teruo; Ishitani, Ryuichiro; Mchaourab, Hassane S; Nureki, Osamu