Biomedical subjects

Tatsuya Nakano

Publications and source records attributed to Tatsuya Nakano.

12 recordsLinked to original sources

PubMed2006

Molecular interactions between estrogen receptor and its ligand studied by the ab initio fragment molecular orbital method.

The ab initio fragment molecular orbital calculations were performed for molecular interactions of the whole estrogen receptor (ER) ligand-binding domain with a natural ligand, 17beta-estradiol (EST). The interaction energies of the ligand at the residue level were calculated using HF and MP2 methods with several basis sets. The charge-transfer (CT) interactions were also analyzed based on configuration analysis for fragment interaction. Strong electrostatic interactions were observed between the EST and surrounding charged/polarized residues, Glu353, Arg394, His524, and Thr347. Weak electrostatic and significant van der Waals dispersion interactions were observed between the EST and the many surrounding hydrophobic residues. Together with the experimental interpretations, both interactions equally contributed to the total binding energies, and it was found that the inclusion of electron correlation was essential to obtain an appropriate picture of the interaction. The strongest interaction energy was observed between Glu353 and the EST, and the CT interactions from the lone-pair orbital of the carbonyl oxygen of Glu353 to the sigma(OmicronEta) orbital of the hydroxyl group of EST were found to be important. The CT interactions from the lone-pair orbital of EST to the sigma(NuEta) of Arg394 and from the lone-pair orbital of EST to the sigma(NuEta) of His524 were also observed. These CT interactions occurred through the hydrogen-bond networks between the ER and EST. Therefore, electron donations from the ER to the EST and electron back-donations from EST to the ER were characteristic of ER-ligand binding. Our approach provides a powerful tool to understanding detailed molecular interactions at the quantum mechanical level.

Estradiol↗

PubMed2006

Intra- and intermolecular interactions between cyclic-AMP receptor protein and DNA: ab initio fragment molecular orbital study.

The ab initio fragment molecular orbital (FMO) calculations were performed for the cAMP receptor protein (CRP) complexed with a cAMP and DNA duplex to elucidate their sequence-specific binding and the stability of the DNA duplex, as determined by analysis of their inter- and intramolecular interactions. Calculations were performed with the AMBER94 force field and at the HF and MP2 levels with several basis sets. The interfragment interaction energies (IFIEs) were analyzed for interactions of CRP-cAMP with each base pair, DNA duplex with each amino acid residue, and each base pair with each residue. In addition, base-base interactions were analyzed including hydrogen bonding and stacking of DNA. In the interaction between DNA and CRP-cAMP, there was a significant charge transfer (CT) from the DNA to CRP, and this CT interaction played an important role as well as the electrostatic interactions. It is necessary to apply a quantum mechanical approach beyond the "classical" force-field approach to describe the sequence specificity. In the DNA intramolecular interaction, the dispersion interactions dominated the stabilization of the base-pair stacking interactions. Strong, attractive 1,2-stacking interactions and weak, repulsive 1,3-stacking interactions were observed. Comparison of the intramolecular interactions of free and complexed DNA revealed that the base-pairing interactions were stronger, and the stacking interactions were weaker, in the complexed structure. Therefore, the DNA duplex stability appears to change due to both the electrostatic and the CT interactions that take place under conditions of DNA-CRP binding.

Algorithms↗

PubMed2006

Nuclear receptor-mediated transcriptional regulation in Phase I, II, and III xenobiotic metabolizing systems.

Studies of the genetic regulation involved in drug metabolizing enzymes and drug transporters are of great interest to understand the molecular mechanisms of drug response and toxic events. Recent reports have revealed that hydrophobic ligands and several nuclear receptors are involved in the induction or down-regulation of various enzymes and transporters involved in Phase I, II, and III xenobiotic metabolizing systems. Nuclear receptors (NRs) form a family of ligand-activated transcription factors (TFs). These proteins modulate the regulation of target genes by contacting their promoter or enhancer sequences at specific recognition sites. These target genes include metabolizing enzymes such as cytochrome P450s (CYPs), transporters, and NRs. Thus it was now recognized that these NRs play essential role in sensing processing xenobiotic substances including drugs, environmental chemical pollutants and nutritional ingredients. From literature, we picked up target genes of each NR in xenobiotic response systems. Possible cross-talk, by which xenobiotics may exert undesirable effects, was listed. For example, the role of NRs was comprehensively drawn up in cholesterol and bile acid homeostasis in human hepatocyte. Summarizing current states of related research, especially for in silico response element search, we tried to elucidate nuclear receptor mediated xenobiotic processing loops and direct future research.

Animals↗

PubMed2005

Ab initio quantum mechanical study of the binding energies of human estrogen receptor alpha with its ligands: an application of fragment molecular orbital method.

We have theoretically examined the relative binding affinities (RBA) of typical ligands, 17beta-estradiol (EST), 17alpha-estradiol (ESTA), genistein (GEN), raloxifene (RAL), 4-hydroxytamoxifen (OHT), tamoxifen (TAM), clomifene (CLO), 4-hydroxyclomifene (OHC), diethylstilbestrol (DES), bisphenol A (BISA), and bisphenol F (BISF), to the alpha-subtype of the human estrogen receptor ligand-binding domain (hERalpha LBD), by calculating their binding energies. The ab initio fragment molecular orbital (FMO) method, which we have recently proposed for the calculations of macromolecules such as proteins, was applied at the HF/STO-3G level. The receptor protein was primarily modeled by 50 amino acid residues surrounding the ligand. The number of atoms in these model complexes is about 850, including hydrogen atoms. For the complexes with EST, RAL, OHT, and DES, the binding energies were calculated again with the entire ERalphaLBD consisting of 241 residues or about 4000 atoms. No significant difference was found in the calculated binding energies between the model and the real protein complexes. This indicates that the binding between the protein and its ligands is well characterized by the model protein with the 50 residues. The calculated binding energies relative to EST were very well correlated with the experimental RBA (the correlation coefficient r=0.837) for the ligands studied in this work. We also found that the charge transfer between ER and ligands is significant on ER-ligand binding. To our knowledge, this is the first achievement of ab initio quantum mechanical calculations of large molecules such as the entire ERalphaLBD protein.

Binding Sites↗

PubMed2004

HIV protease inhibitor nelfinavir inhibits replication of SARS-associated coronavirus.

A novel coronavirus has been identified as an etiological agent of severe acute respiratory syndrome (SARS). To rapidly identify anti-SARS drugs available for clinical use, we screened a set of compounds that included antiviral drugs already in wide use. Here we report that the HIV-1 protease inhibitor, nelfinavir, strongly inhibited replication of the SARS coronavirus (SARS-CoV). Nelfinavir inhibited the cytopathic effect induced by SARS-CoV infection. Expression of viral antigens was much lower in infected cells treated with nelfinavir than in untreated infected cells. Quantitative RT-PCR analysis showed that nelfinavir could decrease the production of virions from Vero cells. Experiments with various timings of drug addition revealed that nelfinavir exerted its effect not at the entry step, but at the post-entry step of SARS-CoV infection. Our results suggest that nelfinavir should be examined clinically for the treatment of SARS and has potential as a good lead compound for designing anti-SARS drugs.

Animals↗

PubMed2004

PEACH 4 with ABINIT-MP: a general platform for classical and quantum simulations of biological molecules.

A program package for molecular simulations of biological molecules was developed. The package, "PEACH version 4 with ABINIT-MP version 20021029," was constructed by incorporating ABINIT-MP, a program for the fragment molecular orbital (FMO) method [Chem.Phys. Lett. 313 (1999) 701], into PEACH, a program package for classical molecular dynamics simulations (MD). A few capabilities of the package were demonstrated. First, high parallel efficiency of FMO was demonstrated in a single point calculation of a protein. Second,FMO-MD simulations [Chem. Phys. Lett. 372 (2003) 342] of a peptide were performed with and without explicit solvent, and the simulations showed the influence of the solvent on the electronic state of the peptide.

Computational Biology↗

PubMed2004

Development of KiBank, a database supporting structure-based drug design.

KiBank is a database of inhibition constant (Ki) values with 3D structures of target proteins and chemicals. Ki values were accumulated from peer-reviewed literature searched via PubMed. The 3D structure files of target proteins were originally from Protein Data Bank (PDB), while the 2D structure files of the chemicals were collected together with the Ki values and then converted into 3D ones. In KiBank, the chemical and protein 3D structures with hydrogen atoms were optimized by energy minimization and stored in MDL MOL and PDB format, respectively. KiBank is designed to support structure-based drug design. It provides structure files of proteins and chemicals ready for use in virtual screening through automated docking methods, while the Ki values can be applied for tests of docking/scoring combinations, program parameter settings, and calibration of empirical scoring functions. Additionally, the chemical structures and corresponding Ki values in KiBank are useful for lead optimization based on quantitative structure-activity relationship (QSAR) techniques. KiBank is updated on a daily basis and is freely available at . As of August 2004, KiBank contains 8000 Ki values, over 6000 chemicals and 166 proteins covering the subtypes of receptors and enzymes.

Binding Sites↗

PubMed2004

[KiBank: a database for computer-aided drug design based on protein-chemical interaction analysis].

KiBank is a database for computer-aided drug design and consists of binding affinities and chemical and target protein structures. Each chemical or protein structure with hydrogen atoms added was optimized by energy minimization and stored in PDB or MDL MOL file format, so that the structural data can be directly used for in silico binding studies. To describe the extent of inhibition, the inhibition constant (K(i)) value is used to simplify comparisons of strengths among chemical-protein bindings. As of April 2004, KiBank contained 142 proteins, over 5000 chemicals, and over 6000 binding affinity values that were published in peer-reviewed journals. The binding affinity values are currently mostly for membrane and nuclear receptors but are soon being expanded to other drug targets. KiBank is updated daily and can be accessed on the Web at http://kibank.iis.u-tokyo.ac.jp/at no charge.

Computer-Aided Design↗

PubMed2004

[Status of NIHS Computer Network System (NIHS-NET)].

We described the development of National Institute of Health Sciences Computer Network System (NIHS-NET), which was named NIHS Information and Computing Infrastructure (NICI) previously. In the system, the main server machines and common machines were replaced and the network lines were upgraded from 100 Mbps to 1Gbps. The connection nodes were changed from Inter Ministry Network (IMnet) to Science Information Network (SINET), and the dedicated lines between NIHS (yoga, osaka, tsukuba) and SINET were constructed. The Internet connection speed from each campus to SINET was upgraded. We also performed security audit in this system.

Computer Communication Networks↗

PubMed2003

Effect of uni-adrenalectomy on blood pressure in a patient with excessive adrenal 18-hydroxy-11-deoxycorticosterone production bilaterally.

A 46-year-old woman was presented with mineralocorticoid excess syndrome and a large mass originating from the right adrenal gland. Clinical examination before right adrenalectomy revealed elevated serum concentrations of 18-hydroxy-11-deoxycorticosterone (18-OH-DOC) both systemically and in the adrenal veins bilaterally. Histopathological and immunohistochemical analyses of the surgical specimen demonstrated adrenal hyperplasia of outer fasciculata cells, and the presence of cystic mass. The adrenalectomy ameliorated her blood pressure (BP) from 156/96 mmHg to 148/87 mmHg with a concomitant increase of serum potassium concentration from 3.1 mEq/l to 3.5 mEq/l. These results suggest that uni-adrenalectomy is, at least in part, effective in ameliorating not only BP but also potassium concentration in a patient of adrenal hyperplasia with excessive bilateral 18-OH-DOC production.

18-Hydroxydesoxycorticosterone↗

PubMed2003

[Safety information project on drug, food and chemicals. Division of Safety Information on Drug, Food and Chemicals. National Institute of Health Sciences].

Recent issues on BSE(Bovine Spongiform Encephalopathy) and health hazards caused by adverse reactions of medical drugs, have strongly emphasized the necessity for safety measures to secure public health. These issues have been attributed to the delay to obtain overseas information on safety and regulation, and the lack of an adequate system for acquirement and assessment of such information. In order to develop a system where domestic and international safety information is collected, analyzed, assessed and presented both scientifically and systematically, the Division of Chem-Bio Informatics of the National Institute of Health Sciences was reorganized to the Division of Safety Information on Drug, Food and Chemicals in April, 2003. Collection and evaluation of safety information on medical drugs, food and chemical substances is now centralized at the Division, which consists of 5 sections, the first, second and third sections being newly established. The first section assesses information on medical drugs, the second section deals with food microorganisms, and the third section focuses on chemicals in food. The fourth and fifth sections retain their previous functions, namely, chemical safety information research and information network infrastructure support within the institute, respectively. The purpose of this paper is to describe how we will manage safety information on drug, food and chemicals, focusing on the role of the three new sections.

Consumer Product Safety↗

PubMedDate not supplied

VISCANA: visualized cluster analysis of protein-ligand interaction based on the ab initio fragment molecular orbital method for virtual ligand screening.

We have developed a visualized cluster analysis of protein-ligand interaction (VISCANA) that analyzes the pattern of the interaction of the receptor and ligand on the basis of quantum theory for virtual ligand screening. Kitaura et al. (Chem. Phys. Lett. 1999, 312, 319-324.) have proposed an ab initio fragment molecular orbital (FMO) method by which large molecules such as proteins can be easily treated with chemical accuracy. In the FMO method, a total energy of the molecule is evaluated by summation of fragment energies and interfragment interaction energies (IFIEs). In this paper, we have proposed a cluster analysis using the dissimilarity that is defined as the squared Euclidean distance between IFIEs of two ligands. Although the result of an ordered table by clustering is still a massive collection of numbers, we combine a clustering method with a graphical representation of the IFIEs by representing each data point with colors that quantitatively and qualitatively reflect the IFIEs. We applied VISCANA to a docking study of pharmacophores of the human estrogen receptor alpha ligand-binding domain (57 amino acid residues). By using VISCANA, we could classify even structurally different ligands into functionally similar clusters according to the interaction pattern of a ligand and amino acid residues of the receptor protein. In addition, VISCANA could estimate the correct docking conformation by analyzing patterns of the receptor-ligand interactions of some conformations through the docking calculation.

Binding Sites↗