|
🐜
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Molecular dynamics simulation-guided drug sensitivity prediction for lung cancer with rare EGFR mutations
28 auth.
S. Ikemura,
H. Yasuda,
S. Matsumoto,
M. Kamada,
Junko Hamamoto,
Keita Masuzawa,
Keigo Kobayashi,
T. Manabe,
D. Arai,
I. Nakachi,
I. Kawada,
Kota Ishioka,
Morio Nakamura,
H. Namkoong,
K. Naoki,
...
Fumie Ono,
M. Araki,
R. Kanada,
Biao Ma,
Y. Hayashi,
S. Mimaki,
K. Yoh,
Susumu S. Kobayashi,
T. Kohno,
Y. Okuno,
K. Goto,
K. Tsuchihara,
K. Soejima
|
5 |
2019 |
5
🐜
|
|
🐜
|
Mechanism-based tuning of insect 3,4-dihydroxyphenylacetaldehyde synthase for synthetic bioproduction of benzylisoquinoline alkaloids
15 auth.
C. Vavricka,
Takanobu Yoshida,
Yuki Kuriya,
Shunsuke Takahashi,
Teppei Ogawa,
Fumie Ono,
K. Agari,
H. Kiyota,
Jianyong Li,
Jun Ishii,
...
Kenji Tsuge,
Hiromichi Minami,
M. Araki,
T. Hasunuma,
A. Kondo
|
4 |
2019 |
4
🐜
|
|
🦁
|
Improvement in predicting drug sensitivity changes associated with protein mutations using a molecular dynamics based alchemical mutation method
8 auth.
Fumie Ono,
S. Chiba,
Y. Isaka,
S. Matsumoto,
Biao Ma,
Ryohei Katayama,
...
M. Araki,
Y. Okuno
|
3 |
2020 |
3
🦁
|
|
🐜
|
Improving the Accuracy of Protein‐Ligand Binding Mode Prediction Using a Molecular Dynamics‐Based Pocket Generation Approach
10 auth.
M. Araki,
Hiroaki Iwata,
Biao Ma,
Atsuto Fujita,
Kei Terayama,
Yukari Sagae,
...
Fumie Ono,
Koji Tsuda,
N. Kamiya,
Yasushi Okuno
|
3 |
2018 |
3
🐜
|
|
🐜
|
E487K-Induced Disorder in Functionally Relevant Dynamics of Mitochondrial Aldehyde Dehydrogenase 2.
8 auth.
S. Matsumoto,
M. Araki,
Y. Isaka,
Fumie Ono,
Kenshiro Hirohashi,
S. Ohashi,
...
M. Muto,
Y. Okuno
|
2 |
2020 |
2
🐜
|
|
🐜
|
Author Correction: Mechanism-based tuning of insect 3,4-dihydroxyphenylacetaldehyde synthase for synthetic bioproduction of benzylisoquinoline alkaloids
15 auth.
C. Vavricka,
Takanobu Yoshida,
Yuki Kuriya,
Shunsuke Takahashi,
Teppei Ogawa,
Fumie Ono,
K. Agari,
H. Kiyota,
Jianyong Li,
Jun Ishii,
...
Kenji Tsuge,
Hiromichi Minami,
M. Araki,
T. Hasunuma,
A. Kondo
|
1 |
2019 |
1
🐜
|
