特集 X線の次
深層学習を用いた構造モデリングと評価，その最近の展開
2023 年 65 巻 1 号 p. 3-9
詳細
2023 年 65 巻 1 号 p. 3-9
Since its appearance in 2021, Alphafold2, an accurate protein structure prediction method, has quickly been adopted and substantially impacted biology research, particularly in the field of structural biology. In this review, we discuss recent advancements in the development of computational structural modeling tools related to Alphafold2. Additionally, we discuss deep learning-based structure modeling methods for cryo-electron microscopy.
