TY - JOUR
T1 - Towards good correlation between fragment molecular orbital interaction energies and experimental IC50 for ligand binding
T2 - A case study of p38 MAP kinase
AU - Sheng, Yinglei
AU - Watanabe, Hirofumi
AU - Maruyama, Keiya
AU - Watanabe, Chiduru
AU - Okiyama, Yoshio
AU - Honma, Teruki
AU - Fukuzawa, Kaori
AU - Tanaka, Shigenori
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2018
Y1 - 2018
N2 - We describe several procedures for the preprocessing of fragment molecular orbital (FMO) calculations on p38 mitogen-activated protein (MAP) kinase and discuss the influence of the procedures on the protein–ligand interaction energies represented by inter-fragment interaction energies (IFIEs). The correlation between the summation of IFIEs for a ligand and amino acid residues of protein (IFIE-sum) and experimental affinity values (IC50) was poor when considered for the whole set of protein–ligand complexes. To improve the correlation for prediction of ligand binding affinity, we carefully classified data set by the ligand charge, the DFG-loop state (DFG-in/out loop), which is characteristic of kinase, and the scaffold of ligand. The correlation between IFIE-sums and the activity values was examined using the classified data set. As a result, it was confirmed that there was a selected data set that showed good correlation between IFIE-sum and activity value by appropriate classification. In addition, we found that the differences in protonation and hydrogen orientation caused by subtle differences in preprocessing led to a relatively large difference in IFIE values. Further, we also examined the effect of structure optimization with different force fields. It was confirmed that the difference in the force field had no significant effect on IFIE-sum. From the viewpoint of drug design using FMO calculations, various investigations on IFIE-sum in this research, such as those regarding several classifications of data set and the different procedures of structural preparation, would be expected to provide useful knowledge for improvement of prediction ability about the ligand binding affinity.
AB - We describe several procedures for the preprocessing of fragment molecular orbital (FMO) calculations on p38 mitogen-activated protein (MAP) kinase and discuss the influence of the procedures on the protein–ligand interaction energies represented by inter-fragment interaction energies (IFIEs). The correlation between the summation of IFIEs for a ligand and amino acid residues of protein (IFIE-sum) and experimental affinity values (IC50) was poor when considered for the whole set of protein–ligand complexes. To improve the correlation for prediction of ligand binding affinity, we carefully classified data set by the ligand charge, the DFG-loop state (DFG-in/out loop), which is characteristic of kinase, and the scaffold of ligand. The correlation between IFIE-sums and the activity values was examined using the classified data set. As a result, it was confirmed that there was a selected data set that showed good correlation between IFIE-sum and activity value by appropriate classification. In addition, we found that the differences in protonation and hydrogen orientation caused by subtle differences in preprocessing led to a relatively large difference in IFIE values. Further, we also examined the effect of structure optimization with different force fields. It was confirmed that the difference in the force field had no significant effect on IFIE-sum. From the viewpoint of drug design using FMO calculations, various investigations on IFIE-sum in this research, such as those regarding several classifications of data set and the different procedures of structural preparation, would be expected to provide useful knowledge for improvement of prediction ability about the ligand binding affinity.
KW - Ab initio calculation
KW - FMO method
KW - In silico screening
KW - Ligand binding affinity
KW - p38 MAP kinase
UR - http://www.scopus.com/inward/record.url?scp=85056189933&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056189933&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2018.10.003
DO - 10.1016/j.csbj.2018.10.003
M3 - Article
AN - SCOPUS:85056189933
SN - 2001-0370
VL - 16
SP - 421
EP - 434
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -