HelixFold3-

Kairi Furui1, Masahito Ohue1

  • 1Department of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama 226-8501, Japan.

ACS omega
|March 31, 2025
PubMed
概括

HelixFold3准确地预测了蛋白质连接体复合体,表现优于AlphaFold2.2. 它的预测结构使可靠的自由能量扰动计算成为可能,与水晶结构相比,推动了药物发现.