FMODB: The World's First Database of Quantum Mechanical Calculations for Biomacromolecules Based on the Fragment Molecular Orbital Method

Daisuke Takaya, Chiduru Watanabe, Shunpei Nagase, Kikuko Kamisaka, Yoshio Okiyama, Hirotomo Moriwaki, Hitomi Yuki, Tomohiro Sato, Noriyuki Kurita, Yoichiro Yagi, Tatsuya Takagi, Norihito Kawashita, Kenichiro Takaba, Tomonaga Ozawa, Midori Takimoto-Kamimura, Shigenori Tanaka, Kaori Fukuzawa, Teruki Honma

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


We developed the world's first web-based public database for the storage, management, and sharing of fragment molecular orbital (FMO) calculation data sets describing the complex interactions between biomacromolecules, named FMO Database ( Each entry in the database contains relevant background information on how the data was compiled as well as the total energy of each molecular system and interfragment interaction energy (IFIE) and pair interaction energy decomposition analysis (PIEDA) values. Currently, the database contains more than 13 600 FMO calculation data sets, and a comprehensive search function implemented at the front-end. The procedure for selecting target proteins, preprocessing the experimental structures, construction of the database, and details of the database front-end were described. Then, we demonstrated a use of the FMODB by comparing IFIE value distributions of hydrogen bond, ion-pair, and XH/πinteractions obtained by FMO method to those by molecular mechanics approach. From the comparison, the statistical analysis of the data provided standard reference values for the three types of interactions that will be useful for determining whether each interaction in a given system is relatively strong or weak compared to the interactions contained within the data in the FMODB. In the final part, we demonstrate the use of the database to examine the contribution of halogen atoms to the binding affinity between human cathepsin L and its inhibitors. We found that the electrostatic term derived by PIEDA greatly correlated with the binding affinities of the halogen containing cathepsin L inhibitors, indicating the importance of QM calculation for quantitative analysis of halogen interactions. Thus, the FMO calculation data in FMODB will be useful for conducting statistical analyses to drug discovery, for conducting molecular recognition studies in structural biology, and for other studies involving quantum mechanics-based interactions.

Original languageEnglish
Pages (from-to)777-794
Number of pages18
JournalJournal of chemical information and modeling
Issue number2
Publication statusPublished - 2021 Feb 22

ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Computer Science Applications
  • Library and Information Sciences


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