T. Ikeda, M. Altaf-Ul-Amin, A. Parvin, S. Kanaya, T. Yonetani, E. Fukusaki
{"title":"Predicting Rank of Japanese Green Teas by Derivative Profiles of Spectra Obtained from Fourier Transform Near-Infrared Reflectance Spectroscopy","authors":"T. Ikeda, M. Altaf-Ul-Amin, A. Parvin, S. Kanaya, T. Yonetani, E. Fukusaki","doi":"10.2751/JCAC.9.37","DOIUrl":"https://doi.org/10.2751/JCAC.9.37","url":null,"abstract":"A rapid and easy method for extracting features from spectra obtained from Fourier transform near-infrared (FT-NIR) reflectance spectroscopy was examined by using the 1 and 2 derivatives and Spearman’s rank correlation. This method can select features from the overall wavelength. Therefore, this method can be considered suitable for the quality estimation of foods. Practically, a set of ranked green tea samples from a Japanese commercial tea contest were analyzed by FT-NIR in order to create a reliable quality-prediction model. The 2 derivative was determined for reducing noise and amplifying the fundamental features. Feature selection from the amplified data was performed using relations between the tea ranks and the derivative coefficients. Finally, a reliable quality-prediction model of green tea was formulated by using single linear and PLS regressions. Furthermore, we discuss possibility of the derivative coefficients as feature representation in FT-NIR.","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"37-46"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2751/JCAC.9.37","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257611","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":"Monte Carlo Simulation Using Quantum Mechanical Calculations (QM/MC Simulation). An Application to Alkaline Hydrolysis of Methylacetate","authors":"Toru Yamaguchi, Michinori Sumimoto, K. Hori","doi":"10.2751/jcac.9.62","DOIUrl":"https://doi.org/10.2751/jcac.9.62","url":null,"abstract":"Although it is possible to analyze chemical reactions in detail using molecular orbital (MO) and Density Functional Theory (DFT) calculations, these results simulate reactions at 0 K in the vacuum. Usual organic reactions proceed in solvents such as water, acetnitrile, alcohol and so on. In order to simulate the reactions in solution, it is necessary to investigate the mechanisms including solvent effects. The SCRF calculations have been used for this purpose while the method regards solvents as simple dielectric constants, and then, it is impossible to analyze the role of each solvent molecule for the reactions. Molecular dynamic (MD) calculations and Monte Carlo (MC) simulations have been used for calculating difference in free energy solvation. These theories usually use classical force fields so that it is very difficult to obtain good parameters for organic solvents used in organic synthesis. We have been developing Monte Carlo simulations using quantum mechanical calculations, called the QM/MC simulations. This approach makes it possible to analyze solvent effects from the quantum chemical view point. As an example of the simulation, we adopted alkaline hydrolysis of methyl acetate. A combination of ab initio calculations at the MP2/6-31++G** level of theory for analyzing the reaction mechanisms in the vacuum and the MC simulations using the PM3 method produced results consistent with experimental results very much.","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2751/jcac.9.62","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257179","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}
Shin Nishikawa, Shinsaku Kozakai, Y. Sengoku, N. Kurita
{"title":"Molecular Mechanics and Molecular Orbital Simulations on The Specific Interactions between Lactose Repressor Protein and Its Inducer and Anti-Inducer Molecules","authors":"Shin Nishikawa, Shinsaku Kozakai, Y. Sengoku, N. Kurita","doi":"10.2751/JCAC.9.17","DOIUrl":"https://doi.org/10.2751/JCAC.9.17","url":null,"abstract":"転写制御タンパク質であるラクトースリプレッサー(LacR)は、Ligand依存型タンパク質であり、結合するLigandの種類に依存してDNAの転写を抑制あるいは促進する。本研究では、Ligandの結合によりLacRの構造と電子状態がどのように変化するかを、古典分子力学計算、及び半経験的分子軌道計算により解析し、Ligand結合によりLacRとDNAの結合が変化する原因の解明を試みた。具体的には、LacR単体の構造、インデューサであるIPTGが結合したLacR-IPTG複合体構造、アンチインデューサであるONPFが結合したLacR-ONPF複合体構造を、古典分子力場AMBERを用いて水中で最適化し、最適化した構造の電子状態を半経験的分子軌道計算により解析した。その結果、LacRとLigandの結合にはLigand周辺の結晶水が重要な働きをしていることが明らかになった。また、LigandがLacRに結合することにより、LacRのDNA結合部位の構造が変化し、LacRとDNA間の結合エネルギーが変化することも明らかになった。","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"17-29"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257549","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}
Ayumu Tagami, Nobuhiro Ishibashi, D. Kato, Naoki Taguchi, Y. Mochizuki, Hirofumi Watanabe, Mika Ito, S. Tanaka
{"title":"Theoretical Study on Emission Spectra of Bioluminescent Luciferases by Fragment Molecular Orbital Method","authors":"Ayumu Tagami, Nobuhiro Ishibashi, D. Kato, Naoki Taguchi, Y. Mochizuki, Hirofumi Watanabe, Mika Ito, S. Tanaka","doi":"10.2751/JCAC.9.47","DOIUrl":"https://doi.org/10.2751/JCAC.9.47","url":null,"abstract":"フラグメント分子軌道(FMO)法は、生体高分子をフラグメントに分割することにより計算時間を大幅に短縮し、タンパク質やDNAなどの巨大分子系全体を量子論的に扱う計算方法として近年注目を集めている。本研究ではその中の1手法である多層FMO(MLFMO)を用いて、ホタルルシフェラーゼの励起状態計算を行った。計算に用いた構造は、野生型(緑色に発光)と橙色、赤色に発光する変異体の計4つである。発光体オキシルシフェリンと活性中心を含む比較的小規模な系で計算を行い、その結果4つの構造に対する発光エネルギーを実験値と相関して再現することに成功した。タンパク質の全体構造においても励起状態計算を行い、実験値と計算値の差を比較したところ、4つの構造において最大でも0.27eVの差と、実験値を定量的に再現することにも成功した。本報告ではその詳細と、発光色制御における周辺環境場の重要性について述べる。","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"47-54"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257619","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. Tanaka, T. Kawai, Tsutomu Matsumoto, T. Takabatake, Hideho Okamoto, K. Funatsu
{"title":"Development of Evaluation Model for Strategic Sites in Synthetic Route Design System AIPHOS","authors":"A. Tanaka, T. Kawai, Tsutomu Matsumoto, T. Takabatake, Hideho Okamoto, K. Funatsu","doi":"10.2751/JCAC.9.81","DOIUrl":"https://doi.org/10.2751/JCAC.9.81","url":null,"abstract":"An evaluation technique was developed to prioritize synthetic strategic sites (a set of bonds to make precursors by cut and connection) for the purpose of effective retro-synthesis in synthetic route design system, AIPHOS. In this paper, the relationship between the strategic sites proposed by AIPHOS and the reaction centers in reaction databases was discussed. The correlation has been analyzed by logistic regression analysis (LoRA) with molecular centrality, bond dissociation energy (BDE), and the number of bonds. We used the equation to clarify the importance of synthetic strategy sites. The correlation models showed high similarity among three reaction databases. In addition, from the model, reaction centers in reaction databases were found to be located in the center of the whole structures, to have fewer bonds, and to have smaller bond dissociation energies.","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"81-91"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257200","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":"Parallelization of Crystal Calculation for Large-Scale Molecular Crystal Structure Analysis","authors":"S. Obata, H. Goto","doi":"10.2751/JCAC.9.8","DOIUrl":"https://doi.org/10.2751/JCAC.9.8","url":null,"abstract":"計算化学技術による結晶構造解析は、機能材料や医薬品の開発など広範囲な研究分野において重要な役割が期待されている。一般に結晶計算では、計算対象となる結晶モデルを大きくするとより実在系に近づき、より高精度な計算結果を期待できるが、それに伴う分子間相互作用の計算量は爆発的に増加する。このため、利用可能な計算機の演算性能に応じて計算できる結晶モデルの大きさは制限されてしまう。そこで本研究では、我々が開発してきた結晶構造最適化プログラムKESSHOUの結晶計算法を、汎用分子計算プログラムCONFLEXに導入したCONFLEX/KESSHOUにおいて、分子間相互作用の計算部分に並列分散処理技術を適用することによって、結晶構造のエネルギー計算や構造最適化の効率的な高速化を実現した。また、結晶モデルの大規模化に伴う分子間相互作用エネルギーの加算誤差を最小限に抑えるため、Kahanの加算アルゴリズムを適用した。並列分散計算環境を利用して、アスピリン結晶の構造最適化を行なったところ、その並列化効率が90%以上に達することを確認した。また、結晶モデルの大きさ(有効結晶半径)に依存した結晶エネルギー揺らぎを調べたところ、有効結晶半径80A以上の結晶モデルの結晶エネルギーは10-3 kcal/mol以内の精度で求められることが分かった。","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"8-16"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257192","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":"Automatic Generation of Structure of Phospholipids","authors":"H. Horai, T. Nishioka","doi":"10.2751/JCAC.9.55","DOIUrl":"https://doi.org/10.2751/JCAC.9.55","url":null,"abstract":"An algorithm and a tool for automatic generation of structures of Phospholipids are proposed. The input is a compact representation of the variable part of phospholipids in a systematic way. The output is a structure of the phospholipid represented in the MDL Molfile format. The output molfile describes not only the topological connectivity of atoms but also the 2D coordinate of each atom in order to draw the structure without any overlapping. The variation of phospholipids that the tool covers includes glycerophospholipids (phosphatidylcholines, phosphatidylethanolamines, phosphatidylglicerols, phosphatidylinositols and phosphatidylserines) and sphingophospholipids with arbitrary length and arbitrary number of double bonds at arbitrary positions and in arbitrary cis/trans isomerism.","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"15 1","pages":"55-61"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257628","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}
Rika Nishikiori, Y. Makino, Yukino Ochi, Noriyuki Yamashita, Kousuke Okamoto, N. Kawashita, J. Takahara, T. Yasunaga, T. Takagi, M. Kawase
{"title":"Development of Fingerprint Verification Type Self-Organized Map Applied to Profiling Seized Methamphetamine","authors":"Rika Nishikiori, Y. Makino, Yukino Ochi, Noriyuki Yamashita, Kousuke Okamoto, N. Kawashita, J. Takahara, T. Yasunaga, T. Takagi, M. Kawase","doi":"10.2751/JCAC.9.30","DOIUrl":"https://doi.org/10.2751/JCAC.9.30","url":null,"abstract":"In a previous study {Takagi, T. et al., Chem. Pharm. Bull., 52(12), 1427-1432 (2004)}, we applied a slightly revised neural Independent Component Analysis (ICA) for profiling illegally distributed methamphetamine. Using ICA and an hourglass type Hierarchical Neural Network (HNN), we obtained better classification results than by using Principal Component Analysis (PCA), CATegorical PCA (CATPCA) and the MultiDimensional Scaling method (MDS). The HNN is a nonlinear machine learning method, and the ICA applied in that study exhibited nonlinear characteristics. The results indicated that nonlinear analysis is more efficient than linear analysis for profiling confiscated methamphetamine. Consequently, in this study, we applied Self-Organizing Maps (SOMs) to impurity profiling of methamphetamine. While SOM is currently a frequently employed nonlinear classification method, the ordinary SOM uses only that information contained by the winner neuron for classification and the information of other grid points is neglected. We therefore attempted to simultaneously utilize the information of loser neurons in order to avoid information loss. First, we visualized the resultant reference vectors using a contour map of each sample. Although considerable information can be visually compared using the SOM contour maps, metric comparisons are difficult. We therefore used MDS to construct a similarity matrix using the data of the resultant reference vectors to visualize metric data. To assess the results, we assumed that there are four synthetic routes (Nagai, Leuckart, Emde and reductive amination methods), and that each of these can be identified by comparing route-specific impurities.","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"30-36"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257560","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":"Development of Drug-likeness Model and Its Visualization","authors":"Masamoto Arakawa, Tomoyuki Miyao, K. Funatsu","doi":"10.2751/JCAC.9.70","DOIUrl":"https://doi.org/10.2751/JCAC.9.70","url":null,"abstract":"","PeriodicalId":41457,"journal":{"name":"Journal of Computer Aided Chemistry","volume":"9 1","pages":"70-80"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2751/JCAC.9.70","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69257189","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}