SCEJ 53rd Autumn Meeting (Nagano, 2022)
Program search result : 本多 裕之 : 1 program
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Authors and Chairs (J) field exact matches “本多 裕之”; 1 program is found.
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Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
Day 2 11:20– 11:40 | DH208 | Machine-learning model for protease cleavage site prediction using 1990 peptides
(Nagoya U.) Mizutani Ryota, Mori Yoko, Ogawa Shota, Tazoe Kaho, (Reg)Akiyama Hirokazu, (Reg)Shimizu Kazunori, *(Reg)Honda Hiroyuki | Bioactive peptide Cleavage site Machine-learning
| SY-71 | 337 |
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SCEJ 53rd Autumn Meeting (Nagano, 2022)
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