{"title":"Professor Toshio Fujita (1929-2017) as a pioneer of medicinal chemistry","authors":"T. Ishikawa, K. Yuta, Y. Tada, A. Konagaya","doi":"10.1273/CBIJ.17.110","DOIUrl":"https://doi.org/10.1273/CBIJ.17.110","url":null,"abstract":"","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81130947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asuka Hatabu, M. Harada, Yoshitake Takahashi, Shunsuke Watanabe, Kenya Sakamoto, Kousuke Okamoto, N. Kawashita, Yu-Shi Tian, T. Takagi
{"title":"Classification of Alzheimer’s disease and Parkinson’s disease using a support vector machine and probabilistic outputs","authors":"Asuka Hatabu, M. Harada, Yoshitake Takahashi, Shunsuke Watanabe, Kenya Sakamoto, Kousuke Okamoto, N. Kawashita, Yu-Shi Tian, T. Takagi","doi":"10.1273/CBIJ.17.112","DOIUrl":"https://doi.org/10.1273/CBIJ.17.112","url":null,"abstract":"Alzheimer's disease (AD) and Parkinson's disease (PD) are both prominent central nervous system diseases that are frequently diagnosed and studied using brain single-photon emission computed tomography (SPECT). Owing to divergent clinical features, AD and PD are often considered distinct diseases; however, it is difficult to distinguish AD from PD on SPECT. Tools for objectively analyzing differences between AD and PD on SPECT images are not currently available. To construct a model for discriminating AD from PD in Japanese patients, we used a support vector machine (SVM) and SPECT images acquired at two different time points after radiotracer injection to extract the determinant regions for classification. We assessed SPECT images from 68 Japanese patients with AD or PD. After pre-processing noise voxels, a non-linear SVM classification with Gaussian kernels was adopted to construct the predictive model. The best SVM model was highly accurate for distinguishing AD from PD. The accuracy of this model was 98.1% for leave-one-out cross-validation and 78.6% for the test set. Our data showed that the temporal, sub-lobar, parietal, limbic, and frontal areas exhibited decreased regional cerebral blood flow in AD; whereas the frontal, anterior, parietal, and occipital areas exhibited decreased regional cerebral blood flow in PD. Here, we present a useful SVM model for classifying AD versus PD using SPECT images and show the utility of two-time-point SPECT imaging for AD/PD discrimination.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78498277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayano Kakiuchi, Shion Ito, S. Okuyama, Y. Furukawa, T. Mizuma
{"title":"Human serum albumin binding of 3, 5, 6, 7, 8, 3’, 4’- heptamethoxyflavone, a citrus flavonoid possessing a neuroprotective effect","authors":"Ayano Kakiuchi, Shion Ito, S. Okuyama, Y. Furukawa, T. Mizuma","doi":"10.1273/CBIJ.17.103","DOIUrl":"https://doi.org/10.1273/CBIJ.17.103","url":null,"abstract":"3, 5, 6, 7, 8, 3’, 4’-heptamethoxyflavone (HMF), which is present in citrus fruits, has been reported to induce brain-derived neurotropic factor (BDNF) production, and have an anti-inflammatory effect. However, its pharmacokinetics is obscure. Therefore, as the first study of HMF pharmacokinetics, the reversible binding of HMF to human serum albumin (HSA) has been examined. For the binding examination and further pharmacokinetic study of HMF, a simple HPLC assay method was established first. The HPLC system equipped with a UV detector (HPLC-UV) and an isocratic mobile phase were used. The accuracy of intra-assay validation at each concentration from 1 to 100 M was from 97.2 to 101.6%, and the precision of intra-assay validation was less than 1.60%. For inter-assay validation, the accuracy was from 97.1 to 104.5%, and the precision was less than 2.24% from 1 to 100 M of HMF. The reversible binding of HMF to HSA was performed by the equilibrium dialysis method. The bound fraction of HMF to 4.6% HSA decreased from around 70% to 55% as the total concentration of HMF increased. This concentration dependency of the reversible binding suggests that HMF may have a specific binding site on the HSA molecule. The HPLC method established in this study is now being used for further investigation of HMF pharmacokinetics, such as intestinal absorption.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75924076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Interaction-based Approach for Affinity Prediction between Antigen Peptide and Human Leukocyte Antigen Using COMBINE Analysis","authors":"Shinya Nakamura, Rie Ohmura, I. Nakanishi","doi":"10.1273/CBIJ.17.93","DOIUrl":"https://doi.org/10.1273/CBIJ.17.93","url":null,"abstract":"In peptide vaccine therapy, a peptide with high affinity for human leukocyte antigen (HLA), is important to stimulate the immune system to kill cancer cells. Several methods to predict HLA–peptide binding have been reported, but most of them rely on informatics to analyze the amino acid sequence of the peptide. Although intermolecular-interaction-based analysis is expected to improve prediction accuracy, such a method generally involves a high computational cost. Therefore, comparative binding energy (COMBINE) analysis, a 3D-quantitative structure–activity relationship method, combined with a rapidly implemented protein modeling method, was applied to solve this problem. The new method enabled quick evaluation of peptide affinity predictions with accuracy beyond a statistical method. In addition, several amino acid residues of HLA, which are known to be important for peptide binding, could be identified.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72459835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Myths in Modern Science: The Hydrogen Bond and its Surroundings. Part 1. The Hydrogen-Bond-Myth","authors":"M. Nishio","doi":"10.1273/CBIJ.17.85","DOIUrl":"https://doi.org/10.1273/CBIJ.17.85","url":null,"abstract":"Widespread arguments of the hydrogen bond are criticized with respect to theories of protein folding and interactions of proteins with their specific ligands. Contrary to popular belief, by no means does the hydrogen bond play an important role in determining the conformation of proteins and the interactions of proteins with specific substrates. Stereotypical thinking on the hydrogen bond constitutes a myth in modern science and seriously restricts the success of structure-based drug design.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74621234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuto Komeij, Yoshio Okiyama, Y. Mochizuki, Kaori Fukuzawa
{"title":"Explicit solvation of a single-stranded DNA, a binding protein, and their complex: a suitable protocol for fragment molecular orbital calculation","authors":"Yuto Komeij, Yoshio Okiyama, Y. Mochizuki, Kaori Fukuzawa","doi":"10.1273/CBIJ.17.72","DOIUrl":"https://doi.org/10.1273/CBIJ.17.72","url":null,"abstract":"Fragment molecular orbital (FMO) calculations were performed for explicitly solvated single-stranded DNA (ssDNA), ssDNA binding protein, and their complex in order to assess the solvent effects on the solutes and thereby to find optimal solvation conditions for FMO calculation. A series of solvated structures were generated with different solvent thicknesses. The structures were subjected to FMO calculation at MP2/6-31G* to obtain the net charges and internal energies of the solutes and the solute–solvent interaction energies as functions of the solvent thickness. In all cases, the properties showed complete or marginal convergence at ca. 6 Ǻ, regardless whether or not the system charge was neutralized. This suggested that the first and second solvent shells mainly determine the electronic structure of a solute while the outer solvent including ions has only minor effects, consistent with several preceding reports. In light of this, and considering safety as a factor, we conclude that a solvent shell thickness of ca. 8 Ǻ suffices for FMO calculation of the solutes.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77685062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuhei Kimura, Koji Kitazawa, M. Tokuhisa, M. Okada‐Hatakeyama
{"title":"Using A Priori Knowledge after Genetic Network Inference: Integrating Multiple Kinds of Knowledge","authors":"Shuhei Kimura, Koji Kitazawa, M. Tokuhisa, M. Okada‐Hatakeyama","doi":"10.1273/CBIJ.17.53","DOIUrl":"https://doi.org/10.1273/CBIJ.17.53","url":null,"abstract":"Several researchers have focused on the inference of genetic networks as a process for extracting useful information from gene expression data. Their work has led to the proposal of a number of methods for genetic network inference. Yet the genetic networks inferred by these methods often contain large numbers of false-positive regulations along with the true-positives. One effective way to reduce the number of erroneous regulations is to apply inference methods that use a priori knowledge on the properties of the genetic networks. The existing inference methods adopting this approach generally use a priori knowledge and the observed gene expression data simultaneously to determine whether or not the target genetic network actually contains each of the candidate regulations. In this study, we establish a new framework for “using a priori knowledge after genetic network inference.” The framework uses a priori knowledge only to modify the genetic network that has already been inferred by the other inference method. Based on this framework, we propose a new inference method that uses multiple kinds of a priori knowledge about genetic networks. The proposed method effectively combines multiple kinds of knowledge and computes the confidence values of regulations. Here, we confirm the effectiveness of the proposed method by applying it to artificial and actual genetic network inference problems. While only a small improvement is gained from the use of multiple kinds of a priori knowledge, we can improve the performance of many other existing inference methods by combining them with the method we propose here.","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85374991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Sato, Hitomi Yuki, C. Watanabe, J. Saito, A. Konagaya, T. Honma
{"title":"Prediction of the site of CYP3A4 metabolism of tolterodine by molecular dynamics simulation from multiple initial structures of the CYP3A4-tolterodine complex","authors":"A. Sato, Hitomi Yuki, C. Watanabe, J. Saito, A. Konagaya, T. Honma","doi":"10.1273/CBIJ.17.38","DOIUrl":"https://doi.org/10.1273/CBIJ.17.38","url":null,"abstract":"","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77502178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Competitive fragment assay for the selective inhibitor of WNKs kinase","authors":"Nae Saito, Y. Tada, T. Okabe, T. Nagano","doi":"10.1273/CBIJ.17.34","DOIUrl":"https://doi.org/10.1273/CBIJ.17.34","url":null,"abstract":"Pseudohypoaldosteronism type II is a rare, familial, autosomal-dominant hypertensive disease that is caused by mutations of WNK (with no lysine [K]) protein kinases 1 and 4. WNKs lack a lysine residue in the 3 strand that is generally conserved in protein kinases. WNK 1 and WNK4 share 87% homology, and possess an unusual back pocket just behind the catalytic lysine residue (Lys233 in WNK1). Therefore, compounds interacting with both the back pocket and catalytic lysine residue could be selective inhibitors. Here, we screened a fragment library for inhibitors of WNK1-mediated phosphorylation by means of mobility shift assay and surface plasmon resonance (SPR)-based binding assay. Among the identified inhibitors, some interacted with the back pocket rather than the hinge region of WNK1, as determined by SPR competitive binding assay. The results of kinase profiling suggest these compounds are promising leads for development of selective inhibitors of WNK 1 and","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82775341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Docking simulation of fragment library compounds to find new leads for specific WNK kinase inhibitors","authors":"Nae Saito, Y. Tada, T. Okabe, T. Nagano","doi":"10.1273/CBIJ.17.30","DOIUrl":"https://doi.org/10.1273/CBIJ.17.30","url":null,"abstract":"Pseudohypoaldosteronism type II has been known as a rare autosomal dominant disorder caused by WNK1 [with no K (lysine) protein kinase-1] or WNK4. These serine/threonine kinases have unusual structures with a back pocket located just behind the ATP binding site. Moreover, a lysine residue (Lys233 in WNK1) in a glycine-rich loop plays a key role in their activity. In this work, we performed docking simulations of about 9,000 compounds from a fragment library with the back pocket of WNK1 in order to discover candidate lead compounds for development of specific inhibitors. Based on binding energy index, we selected -tetralone (compound 5) as a lead structure that interacts with the back pocket, but not with the hinge region of WNK1. Guided by the four predicted docking patterns of -tetralone with the back pocket, we designed four derivatives A-D that were expected to form hydrogen bonds with Lys233. Docking studies indicated that these derivatives interact selectively with Lys233, but not with the hinge region. These compounds are considered potential lead compounds for developing selective","PeriodicalId":40659,"journal":{"name":"Chem-Bio Informatics Journal","volume":null,"pages":null},"PeriodicalIF":0.3,"publicationDate":"2017-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90276780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}