International Conferences (Oral)

    2019

  1. Tomoei Takahashi, George Chikenji, and Kei Tokita
    "Protein design using Bayesian learning"
    7th CIJK MB, Beijing, Aug. 2019.

Domestic Conferences (Oral)

    2021

  1. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「水の効果を外場とした格子タンパク質の経験ベイズ法によるデザイン」
    ("Protein Design by Empirical Bayes' Method")
    76th JPS meeting, Online, Mar. 2021.
  2. 2020

  3. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「経験ベイズ推定を用いた水の効果の最適化によるタンパク質デザイン」
    ("Protein design by optimization of role of water using empirical Bayes' estimation")
    JPS Fall meeting, Online, Sep. 2020.
  4. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「経験ベイズ推定による格子タンパク質模型のデザイン」
    ("Lattice protein design using empirical Bayes estimation")
    75th JPS meeting, Nagoya, Mar. 2020.
  5. 2019

  6. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「相互作用グラフの特徴を考慮したベイズ学習によるタンパク質デザイン」
    ("Protein design by Bayesian machine learning considering its interaction graph")
    JPS Fall meeting, Gifu, Sep. 2019.
  7. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「ベイズ学習による格子タンパク質模型のデザイン」
    ("Design of lattice protein model using Bayesian machine learning")
    74th JPS meeting, Fukuoka, Mar. 2019.

Seminers

    2021

  1. Tomoei Takahashi, George Chikenji, and Kei Tokita
    「ベイズ学習による格子タンパク質模型のデザイン」
    ("Lattice protein design using Bayesian learning")
    Macoto Kikuchi's Group Seminer, Cybermedia Center, Osaka University, Online, Jul. 2021.