Data-driven prediction of protein adsorption on model organic surfaces: from self-assembled monolayers to polymer surfaces

Debabrata Palai

講演情報

Oral Session

G. Biomaterials and Softmaterials » [G-2] Nano-biotechnologies on Interfaces

[G2-O7] Slot 07

2021年12月15日(水) 14:30 〜 18:00 Room G (G419)

Chair: Naoki Matsuda (AIST), Masaru Tanaka (Kyushu University), Tomoyuki Koga (Doshisha University), Tomohiro Hayashi (Tokyo Tech), Kazutoshi Iijima (National University of Yokohama)

15:30 〜 16:00

[G2-O7-03] Data-driven prediction of protein adsorption on model organic surfaces: from self-assembled monolayers to polymer surfaces

Debabrata Palai¹, Shunta Chikami¹, Shoichi Maeda¹, *Tomohiro Hayashi¹ (1. Tokyo Institute of Technology (Japan))

キーワード：materials informatics, machine learning, biomaterials, protein-resistance, self-assembled monolayers, polymer

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