Tetrahedron Computer Methodology最新文献

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DOCKing ligands into receptors: The test case of α-chymotrypsin 配体与受体对接:α-凝乳胰蛋白酶的试验案例
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90169-9
Kent D. Stewart, James A. Bentley, Michael Cory
{"title":"DOCKing ligands into receptors: The test case of α-chymotrypsin","authors":"Kent D. Stewart,&nbsp;James A. Bentley,&nbsp;Michael Cory","doi":"10.1016/0898-5529(90)90169-9","DOIUrl":"10.1016/0898-5529(90)90169-9","url":null,"abstract":"<div><p>Structures of 103 ligands previously tested as inhibitors of chymotrypsin catalysis were docked into the active site of the enzyme by use of the <span>dock</span> computer program. The goodness of fit was evaluated according to an approximate Lennard-Jones potential scoring routine. A statistical analysis indicated that <span>dock</span> correctly ranked the database when viewed in terms of a contingency table of four categories: true positives, false positives, true negatives, and false negatives. Eight of the top ten scoring molecules in the computerized docking procedure had been previously reported to be effective competitive inhibitors of chymotrypsin. This agreement between the computer predictions and experimental observations was encouraging and suggests that the <span>dock</span> computer program may be useful in evaluating other receptors for potential binding ligands.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90169-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73800343","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}
引用次数: 13
Use of molecular fields to compare series of potentially bioactive molecules designed by scientists or by computer 利用分子场来比较一系列由科学家或计算机设计的具有潜在生物活性的分子
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90170-D
C.Thomas Lin, Patricia A. Pavlik, Yvonne C. Martin
{"title":"Use of molecular fields to compare series of potentially bioactive molecules designed by scientists or by computer","authors":"C.Thomas Lin,&nbsp;Patricia A. Pavlik,&nbsp;Yvonne C. Martin","doi":"10.1016/0898-5529(90)90170-D","DOIUrl":"10.1016/0898-5529(90)90170-D","url":null,"abstract":"<div><p>Without 3D information on the structure of the target biomolecule, the rational design of bioactive compounds from 3D properties is based on structure-activity relationships. The design of the series of compounds tested will determine the amount of information gained. We compared a series of chemist-designed D2 agonists with a series designed by the computer by 3D searching and automated structure transformation. We described shape by the steric energies calculated on a 2Å lattice surrounding the molecules as is done in the Comparative Molecular Field Analysis Method. To select the series of computer-designed compounds from the total of 554, we used a cluster analysis based on the 25 highest principal components of the steric fields. Compared to the chemist-designed series, this series shows a larger variation in steric properties and has less correlation between steric properties. It explores all space explored by the former series. The mean and range of the forecast D1 and D2 dopaminergic receptor-binding affinities for the two series are not different. We conclude that multivariate statistical methods based on steric potential energy fields can be used to select the best possible series of molecules for a CoMFA analysis of shape properties. These methods also reduce a large set of suggested molecules to one that is reasonable to synthesize.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90170-D","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75935604","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}
引用次数: 10
A language for acyclic groups 一种用于无环组的语言
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90105-H
Berthold J. Maier
{"title":"A language for acyclic groups","authors":"Berthold J. Maier","doi":"10.1016/0898-5529(90)90105-H","DOIUrl":"10.1016/0898-5529(90)90105-H","url":null,"abstract":"<div><p>We present a language for acyclic chemical groups, which has a context-free grammar, and which is close to current chemical denotations. An interpreter which accepts the language, produces a connection table, and performs valency checks has been written in PASCAL. The source code and executable program are included on disk.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90105-H","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80339656","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}
引用次数: 0
Three-dimensional pharmacophoric pattern search using COMPASS: Nootropic agents 利用COMPASS进行三维药效模式搜索:促智药物
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90118-R
Yoshima Takahasi ∗, Toshio Akagi, Shin-ichi Sasaki
{"title":"Three-dimensional pharmacophoric pattern search using COMPASS: Nootropic agents","authors":"Yoshima Takahasi ∗,&nbsp;Toshio Akagi,&nbsp;Shin-ichi Sasaki","doi":"10.1016/0898-5529(90)90118-R","DOIUrl":"10.1016/0898-5529(90)90118-R","url":null,"abstract":"<div><p>This paper illustrates applicability of the COMPASS (Common Geometrical Pattern Search System) developed in our previous work for the analysis of the three-dimensional common structural features of drug molecules referred to as a pharmacophoric pattern. The three-dimensional common structural features of nootropics agents (rolziracetam, aniracetam and a tripeptide of Pro-Ala-Gly which is a vasopressin C-terminal analogue) have been examined using the system. Conformational analysis of the peptide was carried out in an exhaustive manner using the ECEPP/2 program, resulting in 232 stable conformations within 5 kcal/mol above the global energy minimum. Common geometrical pattern search between each of the conformers and rolziracetam, a rigid molecule, was performed with COMPASS. Seven different types of common geometrical patterns involving five constituent atoms were obtained with the consideration of their electronic environments. The resulting geometrical features were compared with those of an alternative COMPASS analysis between rolziracetam and aniracetam. The active conformation of the peptide and the pharmacophoric patterns of the present molecules are discussed, and the usefulness of our system for such work is also described.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90118-R","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77072973","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}
引用次数: 6
Branched trees and coherence transfer pathways in multi-dimensional NMR spectroscopy: Use of the HBA algorithm to predict spectra 多维核磁共振光谱中的分支树和相干传递路径:使用HBA算法预测光谱
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90072-G
Xu Jun, B.N. Gray, L.R. Brown ∗
{"title":"Branched trees and coherence transfer pathways in multi-dimensional NMR spectroscopy: Use of the HBA algorithm to predict spectra","authors":"Xu Jun,&nbsp;B.N. Gray,&nbsp;L.R. Brown ∗","doi":"10.1016/0898-5529(90)90072-G","DOIUrl":"10.1016/0898-5529(90)90072-G","url":null,"abstract":"<div><p>The structural matching algorithm HBA (Heuristic-Backtracking Algorithm) has been applied to prediction of multi-dimensional NMR spectra. It is first shown that coherence transfer pathways in NMR spectroscopy can be represented by combinations of n-branched trees. With this representation, efficient algorithms that use HBA to predict spectra are developed. NMR data and assignments for melittin bound to fully deuterated dodecylphosphocholine micelles are used to test the efficiency of the spectral prediction programs. At the present level of development, the prediction programs can be used to aid manual interpretation of complex NMR spectra. The program is implemented in the C++ language on a SUN <span><math><mtext>4</mtext><mtext>280</mtext></math></span> computer.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90072-G","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78609166","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}
引用次数: 1
Machine learning of generic reactions: 2. toward an advanced computer representation of chemical reactions 通用反应的机器学习:用先进的计算机来表示化学反应
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90060-L
Philippe Jauffret ∗, Christian Tonnelier, Thierry Hanser, Gérard Kaufmann, Robert Wolff
{"title":"Machine learning of generic reactions: 2. toward an advanced computer representation of chemical reactions","authors":"Philippe Jauffret ∗,&nbsp;Christian Tonnelier,&nbsp;Thierry Hanser,&nbsp;Gérard Kaufmann,&nbsp;Robert Wolff","doi":"10.1016/0898-5529(90)90060-L","DOIUrl":"10.1016/0898-5529(90)90060-L","url":null,"abstract":"<div><p>This paper discusses the requirements a computer representation of organic reactions should satisfy in order to be adapted to the machine learning of generic reactions. Existing formalisms are classified and analyzed in relation with their characteristics and their use. A new representation is introduced and described: RECOUR (REpresentation COmpacte et Unifiée des Réactions = Compact and Unified Representation of Reactions).</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90060-L","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75989756","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}
引用次数: 9
An alternative method for the alignment of molecular structures: Maximizing electrostatic and steric overlap 分子结构排列的另一种方法:最大化静电和空间重叠
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90162-2
Simon K. Kearsley , Graham M. Smith
{"title":"An alternative method for the alignment of molecular structures: Maximizing electrostatic and steric overlap","authors":"Simon K. Kearsley ,&nbsp;Graham M. Smith","doi":"10.1016/0898-5529(90)90162-2","DOIUrl":"10.1016/0898-5529(90)90162-2","url":null,"abstract":"<div><p>The SEAL method has been developed which will optimize the alignment of two three-dimensional structures using their atomic partial charges and steric volumes as factors. In addition, this method will perform the superimposition many times using randomly generated starting configurations and keep only the best unique results based on the value of the alignment function. The computer generated alignments of methotrexate and dihydrofolic acid are compared with the alignments found in the active site of Dihydrofolate Reductase. The marine neurotoxins, saxitoxin and tetrodotoxin, are aligned and the results compared to other alignment techniques. The relationship of the SEAL alignments to the potential field error is explored. Program on disk.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90162-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83833343","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}
引用次数: 230
MSnet: A Neural Network which Classifies Mass Spectra 一个分类质谱的神经网络
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90053-B
Bo Curry , David E. Rumelhart
{"title":"MSnet: A Neural Network which Classifies Mass Spectra","authors":"Bo Curry ,&nbsp;David E. Rumelhart","doi":"10.1016/0898-5529(90)90053-B","DOIUrl":"10.1016/0898-5529(90)90053-B","url":null,"abstract":"<div><p>We have designed a feed-forward neural network to classify low-resolution mass spectra of unknown compounds according to the presence or absence of 100 organic substructures. The neural network, MSnet, was trained to compute a maximum-likelihood estimate of the probability that each substructure is present. We discuss some design considerations and statistical properties of neural network classifiers, and the effect of various training regimes on generalization behavior. The MSnet classifies mass spectra more reliably than other methods reported in the literature, and has other desirable properties.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90053-B","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91480067","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}
引用次数: 104
Numerical modeling of chemical reaction mechanisms 化学反应机理的数值模拟
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90073-H
M.R. Whitbeck
{"title":"Numerical modeling of chemical reaction mechanisms","authors":"M.R. Whitbeck","doi":"10.1016/0898-5529(90)90073-H","DOIUrl":"10.1016/0898-5529(90)90073-H","url":null,"abstract":"<div><p>This paper describes a program for modeling complex chemical reaction mechanisms. The described program constructs the required differential equations from a symbolic description of the reactions and solves the equations numerically. The program can also fit the model to observed data by adjusting user selected rate constants. The rate constants are adjusted using simplex optimization to give the least-squares deviation between calculated and observed data.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90073-H","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75413337","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}
引用次数: 4
COMPASS program: Combination of empirical rules and combinatorial methods for planning of organic synthesis COMPASS程序:结合经验法则和组合方法进行有机合成规划
Tetrahedron Computer Methodology Pub Date : 1990-01-01 DOI: 10.1016/0898-5529(90)90069-K
Ekaterina V. Gordeeva, Dmitri E. Lushnikov, Nikolai S. Zefirov ∗
{"title":"COMPASS program: Combination of empirical rules and combinatorial methods for planning of organic synthesis","authors":"Ekaterina V. Gordeeva,&nbsp;Dmitri E. Lushnikov,&nbsp;Nikolai S. Zefirov ∗","doi":"10.1016/0898-5529(90)90069-K","DOIUrl":"10.1016/0898-5529(90)90069-K","url":null,"abstract":"<div><p>An original semi-empirical COMPASS program for Computer-Assisted Organic Synthesis is developed. This program is based on the combination of pure combinatorial methods with empirical rules of retrosynthetic analysis. A small knowledge base containing generalized description of synthetic methods is discussed. The principles of the DIssection-Approximation (DIA) approach to formalization of organic reactions are given. A general flow-chart of the program is presented. The rule's interpreter as well as the basic principles of the rule's construction and selection criteria are discussed. The demo version of the COMPASS program for PC-compatible computers is included on disk.</p></div>","PeriodicalId":101214,"journal":{"name":"Tetrahedron Computer Methodology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0898-5529(90)90069-K","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75520746","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}
引用次数: 6
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