TY - JOUR
T1 - Application of singular value decomposition to the inter-fragment interaction energy analysis for ligand screening
AU - Maruyama, Keiya
AU - Sheng, Yinglei
AU - Watanabe, Hirofumi
AU - Fukuzawa, Kaori
AU - Tanaka, Shigenori
N1 - Funding Information:
This study was conducted as one of the activities of the “FMO Drug Design Consortium”, under the task of K computer project “hp150160” and “hp160103”. We thank the members of the FMO Drug Design Consortium, Satoshi Anzaki (Kobe University), Atsushi Inoue (Eisai Co., Ltd.), Yoshitaka Maeda (Mochida Pharmaceutical Co., Ltd.), Fumio Nakajima (Carna Biosciences, Inc.), and Chiduru Watanabe (RIKEN) for providing the IFIE data. S.T. would like to acknowledge the Grants-in-Aid for Scientific Research (Nos. 26460035 and 17H06353) from the Ministry of Education, Cultute, Sports, Science and Technology (MEXT). K.F. acknowledges JSPS KAKENHI Grant Number JP15K05397. The computations were partially performed using the π-computer at Kobe University.
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/5/15
Y1 - 2018/5/15
N2 - We evaluated the binding affinity between p38 MAP kinase and various inhibitors through use of the fragment molecular orbital (FMO) method at MP2/6-31G∗ level in comparison to experimental values of half maximal inhibitory concentration (IC50). Initially, the calculated results of the FMO-IFIE (inter-fragment interaction energy) sums for 60 complex structures registered in the Protein Data Bank were not well correlated with the IC50 activity data. Therefore, we performed the singular value decomposition (SVD) for the calculated results of the IFIE matrix (amino acid residues × various ligands) to improve the correlation and determine the cause of the initial poor results. In SVD, the original matrix is divided into multiple vectors that are orthogonal to each other. Through this method, we improved the correlation by removing some particular vectors that involved noise components and impaired the correlation. In addition, the correlation between the IC50 and FMO-IFIE for 22 complex structures of estrogen receptor α (ERα) was also improved in this way. We analyzed the amino acid residues of receptors that were mainly involved in the removed vectors and found an overestimation of the strength of the hydrogen bond between glutamic acid and the ligand.
AB - We evaluated the binding affinity between p38 MAP kinase and various inhibitors through use of the fragment molecular orbital (FMO) method at MP2/6-31G∗ level in comparison to experimental values of half maximal inhibitory concentration (IC50). Initially, the calculated results of the FMO-IFIE (inter-fragment interaction energy) sums for 60 complex structures registered in the Protein Data Bank were not well correlated with the IC50 activity data. Therefore, we performed the singular value decomposition (SVD) for the calculated results of the IFIE matrix (amino acid residues × various ligands) to improve the correlation and determine the cause of the initial poor results. In SVD, the original matrix is divided into multiple vectors that are orthogonal to each other. Through this method, we improved the correlation by removing some particular vectors that involved noise components and impaired the correlation. In addition, the correlation between the IC50 and FMO-IFIE for 22 complex structures of estrogen receptor α (ERα) was also improved in this way. We analyzed the amino acid residues of receptors that were mainly involved in the removed vectors and found an overestimation of the strength of the hydrogen bond between glutamic acid and the ligand.
KW - Fragment Molecular Orbital (FMO) method
KW - Inter-Fragment Interaction Energy (IFIE)
KW - Ligand binding
KW - Singular Value Decomposition (SVD)
KW - p38 MAP kinase
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U2 - 10.1016/j.comptc.2018.04.001
DO - 10.1016/j.comptc.2018.04.001
M3 - Article
AN - SCOPUS:85045236869
SN - 2210-271X
VL - 1132
SP - 23
EP - 34
JO - Computational and Theoretical Chemistry
JF - Computational and Theoretical Chemistry
ER -