Protein-ligand binding affinity prediction of cyclin‐dependent kinase‐2 inhibitors by dynamically averaged fragment molecular orbital‐based interaction energy
Protein-ligand binding affinity prediction of cyclin‐dependent kinase‐2 inhibitors by dynamically averaged fragment molecular orbital‐based interaction energy
复制标题
通过动态平均片段分子轨道相互作用能预测细胞周期蛋白依赖性激酶 2 抑制剂的蛋白质配体结合亲和力
DOI:
10.1002/jcc.26940
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发表时间:
2022
影响因子:
3
通讯作者:
Tanaka Shigenori
中科院分区:
文献类型:
--
作者:
Takaba Kenichiro;Watanabe Chiduru;Tokuhisa Atsushi;Akinaga Yoshinobu;Ma Biao;Kanada Ryo;Araki Mitsugu;Okuno Yasushi;Kawashima Yusuke;Moriwaki Hirotomo;Kawashita Norihito;Honma Teruki;Fukuzawa Kaori;Tanaka Shigenori
Fragment molecular orbital (FMO) method is a powerful computational tool for structure‐based drug design, in which protein–ligand interactions can be described by the inter‐fragment interaction energy (IFIE) and its pair interaction energy decomposition analysis (PIEDA). Here, we introduced a dynamically averaged (DA) FMO‐based approach in which molecular dynamics simulations were used to generate multiple protein–ligand complex structures for FMO calculations. To assess this approach, we examined the correlation between the experimental binding free energies and DA‐IFIEs of six CDK2 inhibitors whose net charges are zero. The correlation between the experimental binding free energies and snapshot IFIEs for X‐ray crystal structures wasR2= 0.75. Using the DA‐IFIEs, the correlation significantly improved to 0.99. When an additional CDK2 inhibitor with net charge of −1 was added, the DA FMO‐based scheme with the dispersion energies still achievedR2= 0.99, whereasR2decreased to 0.32 employing all the energy terms of PIEDA.