1
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Ibrahim PEGF, Zuccotto F, Zachariae U, Gilbert I, Bodkin M. Accurate prediction of dynamic protein-ligand binding using P-score ranking. J Comput Chem 2024; 45:1762-1778. [PMID: 38647338 DOI: 10.1002/jcc.27370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024]
Abstract
Protein-ligand binding prediction typically relies on docking methodologies and associated scoring functions to propose the binding mode of a ligand in a biological target. Significant challenges are associated with this approach, including the flexibility of the protein-ligand system, solvent-mediated interactions, and associated entropy changes. In addition, scoring functions are only weakly accurate due to the short time required for calculating enthalpic and entropic binding interactions. The workflow described here attempts to address these limitations by combining supervised molecular dynamics with dynamical averaging quantum mechanics fragment molecular orbital. This combination significantly increased the ability to predict the experimental binding structure of protein-ligand complexes independent from the starting position of the ligands or the binding site conformation. We found that the predictive power could be enhanced by combining the residence time and interaction energies as descriptors in a novel scoring function named the P-score. This is illustrated using six different protein-ligand targets as case studies.
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Affiliation(s)
- Peter E G F Ibrahim
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
| | - Fabio Zuccotto
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
| | - Ulrich Zachariae
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
| | - Ian Gilbert
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
| | - Mike Bodkin
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, University of Dundee, Dundee, UK
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2
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Matsuoka S, Sakakura K, Akinaga Y, Akisawa K, Okuwaki K, Doi H, Mochizuki Y. Enhancement of energy decomposition analysis in fragment molecular orbital calculations. J Comput Chem 2024; 45:898-902. [PMID: 38158621 DOI: 10.1002/jcc.27297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/10/2023] [Accepted: 12/13/2023] [Indexed: 01/03/2024]
Abstract
Energy decomposition analysis is one of the most attractive features of fragment molecular orbital (FMO) calculations from the point of view of practical applications. Here we report some enhancements for PIEDA in the ABINIT-MP program. One is a separation of the dispersion-type stabilization from the electron correlation energy, traditionally referred to as the "dispersion interaction" (DI). Another is an alternative evaluation of the electrostatic (ES) interaction using the restrained electrostatic potential (RESP) charges. The GA:CT stacked base pair and the Trp-Cage miniprotein were used as illustrative examples.
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Affiliation(s)
- Sota Matsuoka
- Department of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, Tokyo, Japan
| | | | | | - Kazuki Akisawa
- Department of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, Tokyo, Japan
| | - Koji Okuwaki
- Department of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, Tokyo, Japan
- JSOL Corp., Kudan-Kaikan Terrace, Tokyo, Japan
| | - Hideo Doi
- Department of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, Tokyo, Japan
| | - Yuji Mochizuki
- Department of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, Tokyo, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
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3
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Tsushima S, Kretzschmar J, Doi H, Okuwaki K, Kaneko M, Mochizuki Y, Takao K. Towards tailoring hydrophobic interaction with uranyl(VI) oxygen for C-H activation. Chem Commun (Camb) 2024; 60:4769-4772. [PMID: 38563824 DOI: 10.1039/d4cc01030b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Bovine serum albumin (BSA) has a uranyl(VI) binding hotspot where uranium is tightly bound by three carboxylates. Uranyl oxygen is "soaked" into the hydrophobic core of BSA. Isopropyl hydrogen of Val is trapped near UO22+ and upon photoexcitation, C-H bond cleavage is initiated. A unique hydrophobic contact with "yl"-oxygen, as observed here, can be used to induce C-H activation.
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Affiliation(s)
- Satoru Tsushima
- Institute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, 01328, Germany.
- International Research Frontiers Initiative (IRFI), Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, 152-8550, Japan
| | - Jérôme Kretzschmar
- Institute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, 01328, Germany.
| | - Hideo Doi
- Department of Chemistry and Research Center for Smart Molecules, Rikkyo University, Tokyo, 171-8501, Japan
| | - Koji Okuwaki
- Department of Chemistry and Research Center for Smart Molecules, Rikkyo University, Tokyo, 171-8501, Japan
| | - Masashi Kaneko
- Department of Chemistry, Osaka University, Osaka, 560-0043, Japan
| | - Yuji Mochizuki
- Department of Chemistry, Osaka University, Osaka, 560-0043, Japan
- Institute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, Japan
| | - Koichiro Takao
- Laboratory for Zero-Carbon Energy, Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, 152-8550, Japan
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4
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Handa Y, Okuwaki K, Kawashima Y, Hatada R, Mochizuki Y, Komeiji Y, Tanaka S, Furuishi T, Yonemochi E, Honma T, Fukuzawa K. Prediction of Binding Pose and Affinity of Nelfinavir, a SARS-CoV-2 Main Protease Repositioned Drug, by Combining Docking, Molecular Dynamics, and Fragment Molecular Orbital Calculations. J Phys Chem B 2024; 128:2249-2265. [PMID: 38437183 PMCID: PMC10946393 DOI: 10.1021/acs.jpcb.3c05564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 03/06/2024]
Abstract
A novel in silico drug design procedure is described targeting the Main protease (Mpro) of the SARS-CoV-2 virus. The procedure combines molecular docking, molecular dynamics (MD), and fragment molecular orbital (FMO) calculations. The binding structure and properties of Mpro were predicted for Nelfinavir (NFV), which had been identified as a candidate compound through drug repositioning, targeting Mpro. Several poses of the Mpro and NFV complexes were generated by docking, from which four docking poses were selected by scoring with FMO energy. Then, each pose was subjected to MD simulation, 100 snapshot structures were sampled from each of the generated MD trajectories, and the structures were evaluated by FMO calculations to rank the pose based on binding energy. Several residues were found to be important in ligand recognition, including Glu47, Asp48, Glu166, Asp187, and Gln189, all of which interacted strongly with NFV. Asn142 is presumably regarded to form hydrogen bonds or CH/π interaction with NFV; however, in the present calculation, their interactions were transient. Moreover, the tert-butyl group of NFV had no interaction with Mpro. Identifying such strong and weak interactions provides candidates for maintaining and substituting ligand functional groups and important suggestions for drug discovery using drug repositioning. Besides the interaction between NFV and the amino acid residues of Mpro, the desolvation effect of the binding pocket also affected the ranking order. A similar procedure of drug design was applied to Lopinavir, and the calculated interaction energy and experimental inhibitory activity value trends were consistent. Our approach provides a new guideline for structure-based drug design starting from a candidate compound whose complex crystal structure has not been obtained.
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Affiliation(s)
- Yuma Handa
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
- Graduate
School of Pharmaceutical Sciences, Osaka
University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Koji Okuwaki
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
- Department
of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, 3-34-1 Nishi-ikebukuro, Toshima-ku, Tokyo 171-8501, Japan
| | - Yusuke Kawashima
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
| | - Ryo Hatada
- Department
of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, 3-34-1 Nishi-ikebukuro, Toshima-ku, Tokyo 171-8501, Japan
| | - Yuji Mochizuki
- Department
of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, 3-34-1 Nishi-ikebukuro, Toshima-ku, Tokyo 171-8501, Japan
- Institute
of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Yuto Komeiji
- Graduate
School of Pharmaceutical Sciences, Osaka
University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan
- Department
of Chemistry and Research Center for Smart Molecules, Faculty of Science, Rikkyo University, 3-34-1 Nishi-ikebukuro, Toshima-ku, Tokyo 171-8501, Japan
- Health
and Medical Research Institute, AIST, Tsukuba Central 6, Tsukuba, Ibaraki 305-8566, Japan
- RIKEN
Center
for Biosystems Dynamics Research, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Shigenori Tanaka
- Graduate
School of System Informatics, Department of Computational Science, Kobe University, 1-1 Rokkodai, Nada-ku, Kobe 657-8501, Japan
| | - Takayuki Furuishi
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
| | - Etsuo Yonemochi
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
| | - Teruki Honma
- RIKEN
Center
for Biosystems Dynamics Research, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Kaori Fukuzawa
- Department
of Physical Chemistry, School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 142-8501, Japan
- Graduate
School of Pharmaceutical Sciences, Osaka
University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan
- Department
of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, 6-6-11 Aoba, Aramaki, Aoba-ku, Sendai 980-8579, Japan
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5
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Shino A, Otsu M, Imai K, Fukuzawa K, Morishita EC. Probing RNA-Small Molecule Interactions Using Biophysical and Computational Approaches. ACS Chem Biol 2023; 18:2368-2376. [PMID: 37856793 PMCID: PMC10662358 DOI: 10.1021/acschembio.3c00287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/30/2023] [Indexed: 10/21/2023]
Abstract
Interest in small molecules that target RNA is flourishing, and the expectation set on them to treat diseases with unmet medical needs is high. However, several challenges remain, including difficulties in selecting suitable tools and establishing workflows for their discovery. In this context, we optimized experimental and computational approaches that were previously employed for the protein targets. Here, we demonstrate that a fluorescence-based assay can be effectively used to screen small molecule libraries for their ability to bind and stabilize an RNA stem-loop. Our screen identified several fluoroquinolones that bind to the target stem-loop. We further probed their interactions with the target using biolayer interferometry, isothermal titration calorimetry (ITC), and nuclear magnetic resonance spectroscopy. The results of these biophysical assays suggest that the fluoroquinolones bind the target in a similar manner. Armed with this knowledge, we built models for the complexes of the fluoroquinolones and the RNA target. Then, we performed fragment molecular orbital (FMO) calculations to dissect the interactions between the fluoroquinolones and the RNA. We found that the binding free energies obtained from the ITC experiments correlated strongly with the interaction energies calculated by FMO. Finally, we designed fluoroquinolone analogues and performed FMO calculations to predict their binding free energies. Taken together, the results of this study support the importance of conducting orthogonal assays in binding confirmation and compound selection and demonstrate the usefulness of FMO calculations in the rational design of RNA-targeted small molecules.
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Affiliation(s)
- Amiu Shino
- Basic
Research Division, Veritas In Silico Inc., Shinagawa, Tokyo 141-0031, Japan
| | - Maina Otsu
- Basic
Research Division, Veritas In Silico Inc., Shinagawa, Tokyo 141-0031, Japan
| | - Koji Imai
- Basic
Research Division, Veritas In Silico Inc., Shinagawa, Tokyo 141-0031, Japan
| | - Kaori Fukuzawa
- Graduate
School of Pharmaceutical Sciences, Osaka
University, Suita, Osaka 565-0871, Japan
- School
of Pharmacy and Pharmaceutical Sciences, Hoshi University, Shinagawa, Tokyo 142-8501, Japan
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6
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Sladek V, Šmak P, Tvaroška I. How E-, L-, and P-Selectins Bind to sLe x and PSGL-1: A Quantification of Critical Residue Interactions. J Chem Inf Model 2023; 63:5604-5618. [PMID: 37486087 DOI: 10.1021/acs.jcim.3c00704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Selectins and their ability to interact with specific ligands are a cornerstone in cell communication. Over the last three decades, a considerable wealth of experimental and molecular modeling insights into their structure and modus operandi were gathered. Nonetheless, explaining the role of individual selectin residues on a quantitative level remained elusive, despite its importance in understanding the structure-function relationship in these molecules and designing their inhibitors. This work explores essential interactions of selectin-ligand binding, employing a multiscale approach that combines molecular dynamics, quantum-chemical calculations, and residue interaction network models. Such an approach successfully reproduces most of the experimental findings. It proves to be helpful, with the potential for becoming an established tool for quantitative predictions of residue contribution to the binding of biomolecular complexes. The results empower us to quantify the importance of particular residues and functional groups in the protein-ligand interface and to pinpoint differences in molecular recognition by the three selectins. We show that mutations in the E-, L-, and P-selectins, e.g., different residues in positions 46, 85, 97, and 107, present a crucial difference in how the ligand is engaged. We assess the role of sulfation of tyrosine residues in PSGL-1 and suggest that TyrSO3- in position 51 interacting with Arg85 in P-selectin is a significant factor in the increased affinity of P-selectin to PSGL-1 compared to E- and L-selectins. We propose an original pharmacophore targeting five essential PSGL-binding sites based on the analysis of the selectin···PSGL-1 interactions.
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Affiliation(s)
- Vladimir Sladek
- Institute of Chemistry, SAS, Dubravska cesta 9, 84538 Bratislava, Slovakia
| | - Pavel Šmak
- Department of Biochemistry, Faculty of Medicine, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Igor Tvaroška
- Institute of Chemistry, SAS, Dubravska cesta 9, 84538 Bratislava, Slovakia
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7
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Watanabe C, Tanaka S, Okiyama Y, Yuki H, Ohyama T, Kamisaka K, Takaya D, Fukuzawa K, Honma T. Quantum Chemical Interaction Analysis between SARS-CoV-2 Main Protease and Ensitrelvir Compared with Its Initial Screening Hit. J Phys Chem Lett 2023; 14:3609-3620. [PMID: 37023394 PMCID: PMC10081834 DOI: 10.1021/acs.jpclett.2c03768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/17/2023] [Indexed: 06/19/2023]
Abstract
A non-covalent oral drug targeting SARS-CoV-2 main protease (Mpro), ensitrelvir (Xocova), has been developed using structure-based drug design (SBDD). To elucidate the factors responsible for enhanced inhibitory activities from an in silico screening hit compound to ensitrelvir, we analyzed the interaction energies of the inhibitors with each residue of Mpro using fragment molecular orbital (FMO) calculations. This analysis reveals that functional group conversion for P1' and P1 parts in the inhibitors increases the strength of existing interactions with Mpro and also provides novel interactions for ensitrelvir; the associated changes in the conformation of Mpro induce further interactions for ensitrelvir in other parts, including hydrogen bonds, a halogen bond, and π-orbital interactions. Thus, we illuminate the promising strategies of SBDD for leading ensitrelvir to get higher activity against Mpro by elucidating microscopic interactions through FMO-based analysis. These detailed mechanism findings, including water cross-linkings, will help to design novel inhibitors in SBDD.
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Affiliation(s)
- Chiduru Watanabe
- Center for Biosystems Dynamics Research,
RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa
230-0045, Japan
| | - Shigenori Tanaka
- Department of Computational Science, Graduate School
of System Informatics, Kobe University, 1-1 Rokkodai, Nada-ku,
Kobe, Hyogo 657-8501, Japan
| | - Yoshio Okiyama
- Department of Computational Science, Graduate School
of System Informatics, Kobe University, 1-1 Rokkodai, Nada-ku,
Kobe, Hyogo 657-8501, Japan
| | - Hitomi Yuki
- Center for Biosystems Dynamics Research,
RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa
230-0045, Japan
| | - Tatsuya Ohyama
- Frontier Institute for Biomolecular Engineering Research
(FIBER), Konan University, 7-1-20 Minatojima-minamimachi, Kobe
650-0047, Japan
| | - Kikuko Kamisaka
- Center for Biosystems Dynamics Research,
RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa
230-0045, Japan
| | - Daisuke Takaya
- Graduate School of Pharmaceutical Sciences,
Osaka University,1-6 Yamadaoka, Suita, Osaka 565-0871,
Japan
| | - Kaori Fukuzawa
- Graduate School of Pharmaceutical Sciences,
Osaka University,1-6 Yamadaoka, Suita, Osaka 565-0871,
Japan
| | - Teruki Honma
- Center for Biosystems Dynamics Research,
RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa
230-0045, Japan
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8
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The Importance of Charge Transfer and Solvent Screening in the Interactions of Backbones and Functional Groups in Amino Acid Residues and Nucleotides. Int J Mol Sci 2022; 23:ijms232113514. [PMID: 36362296 PMCID: PMC9654426 DOI: 10.3390/ijms232113514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Quantum mechanical (QM) calculations at the level of density-functional tight-binding are applied to a protein–DNA complex (PDB: 2o8b) consisting of 3763 atoms, averaging 100 snapshots from molecular dynamics simulations. A detailed comparison of QM and force field (Amber) results is presented. It is shown that, when solvent screening is taken into account, the contributions of the backbones are small, and the binding of nucleotides in the double helix is governed by the base–base interactions. On the other hand, the backbones can make a substantial contribution to the binding of amino acid residues to nucleotides and other residues. The effect of charge transfer on the interactions is also analyzed, revealing that the actual charge of nucleotides and amino acid residues can differ by as much as 6 and 8% from the formal integer charge, respectively. The effect of interactions on topological models (protein -residue networks) is elucidated.
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9
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Handa C, Yamazaki Y, Yonekubo S, Furuya N, Momose T, Ozawa T, Furuishi T, Fukuzawa K, Yonemochi E. Evaluating the correlation of binding affinities between isothermal titration calorimetry and fragment molecular orbital method of estrogen receptor beta with diarylpropionitrile (DPN) or DPN derivatives. J Steroid Biochem Mol Biol 2022; 222:106152. [PMID: 35810932 DOI: 10.1016/j.jsbmb.2022.106152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/21/2022] [Accepted: 07/06/2022] [Indexed: 11/28/2022]
Abstract
Estrogen receptors (ERs) are ligand-activated transcription factors, with two subtypes ERα and ERβ. The endogenous ligand of ERs is the common 17β-estradiol, and the ligand-binding pocket of ERα and ERβ is very similar. Nevertheless, some ERβ-selective agonist ligands have been reported. DPN (diarylpropionitrile) is a widely used ERβ-selective agonist; however, the structure of the ERβ-DPN complex has not been solved. Therefore, the bound-state conformation of DPN and its enantioselectivity remain unresolved. In this report, we present the structures of the complexes of ERβ with DPN or its derivatives that include a chlorine atom by the X-ray crystallography. Additionally, we measured the binding affinity between ERβ and DPN or derivatives by isothermal titration calorimetry (ITC) and estimated the binding affinity by fragment molecular orbital (FMO) calculations. We also examined the correlation between the ITC data and results from the FMO calculations. FMO calculations showed that S-DPN interacts strongly with three amino acids (Glu305, Phe356, and His475) of ERβ, and ITC measurements confirmed that the chlorine atom of the DPN derivatives enhances binding affinity. The enthalpy change by ITC correlated strongly with the interaction energy (total IFIEs; inter-fragment interaction energies) calculated by FMO (R = 0.870). We propose that FMO calculations are a valuable approach for enhancing enthalpy contributions in drug design, and its scope of applications includes halogen atoms such as chlorine. This study is the first quantitative comparison of thermodynamic parameters obtained from ITC measurements and FMO calculations, providing new insights for future precise drug design.
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Affiliation(s)
- Chiaki Handa
- Central Research Laboratory, Kissei Pharmaceutical Co., Ltd., 4365-1, Hotakakashiwabara, Azumino, Nagano 399-8304, Japan; School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Shinagawa, Tokyo 142-8501, Japan.
| | - Yuki Yamazaki
- School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Shinagawa, Tokyo 142-8501, Japan
| | - Shigeru Yonekubo
- Central Research Laboratory, Kissei Pharmaceutical Co., Ltd., 4365-1, Hotakakashiwabara, Azumino, Nagano 399-8304, Japan
| | - Noritaka Furuya
- Central Research Laboratory, Kissei Pharmaceutical Co., Ltd., 4365-1, Hotakakashiwabara, Azumino, Nagano 399-8304, Japan
| | - Takaki Momose
- Central Research Laboratory, Kissei Pharmaceutical Co., Ltd., 4365-1, Hotakakashiwabara, Azumino, Nagano 399-8304, Japan
| | - Tomonaga Ozawa
- Central Research Laboratory, Kissei Pharmaceutical Co., Ltd., 4365-1, Hotakakashiwabara, Azumino, Nagano 399-8304, Japan
| | - Takayuki Furuishi
- School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Shinagawa, Tokyo 142-8501, Japan
| | - Kaori Fukuzawa
- Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Etsuo Yonemochi
- School of Pharmacy and Pharmaceutical Sciences, Hoshi University, 2-4-41 Shinagawa, Tokyo 142-8501, Japan
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