Application of singular value decomposition to the inter-fragment interaction energy analysis for ligand screening

Keiya Maruyama, Yinglei Sheng, Hirofumi Watanabe, Kaori Fukuzawa, Shigenori Tanaka

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)23-34
Number of pages12
JournalComputational and Theoretical Chemistry
Volume1132
DOIs
Publication statusPublished - 2018 May 15

Keywords

  • Fragment Molecular Orbital (FMO) method
  • Inter-Fragment Interaction Energy (IFIE)
  • Ligand binding
  • Singular Value Decomposition (SVD)
  • p38 MAP kinase

ASJC Scopus subject areas

  • Biochemistry
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry

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