LEADER 02299nam 2200601Ia 450 001 9910778138903321 005 20230721022507.0 010 $a1-4384-2697-6 010 $a1-4416-2054-0 035 $a(CKB)1000000000788357 035 $a(OCoLC)436221735 035 $a(CaPaEBR)ebrary10588684 035 $a(SSID)ssj0000099719 035 $a(PQKBManifestationID)11124682 035 $a(PQKBTitleCode)TC0000099719 035 $a(PQKBWorkID)10019610 035 $a(PQKB)10478281 035 $a(MiAaPQ)EBC3408136 035 $a(Au-PeEL)EBL3408136 035 $a(CaPaEBR)ebr10588684 035 $a(EXLCZ)991000000000788357 100 $a20090219d2009 ub 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAfrica writes back to self$b[electronic resource] $emetafiction, gender, sexuality /$fEvan Maina Mwangi 210 $aAlbany $cState University of New York Press$dc2009 215 $a1 online resource (363 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4384-2681-X 320 $aIncludes bibliographical references and index. 327 $aIntroduction : Writing Back to Self -- Genealogies and Functions of Self-Reflexive Fiction -- (En)countering Sex in the Nationalist Canon -- Potentials and Pitfalls of National Language Literatures -- Orature and Deconstructed Folklore -- Politicized Palimpsests and Gendered Intertexts --Painted Metaphors : The Gendered Deployment of Visual Arts -- Refiguring (Out) Queer Sexualities -- Gendered Theoretical Recalibrations. 606 $aAfrican fiction (English)$xHistory and criticism 606 $aSelf in literature 606 $aSelf-perception in literature 606 $aSex role in literature 606 $aSex in literature 615 0$aAfrican fiction (English)$xHistory and criticism. 615 0$aSelf in literature. 615 0$aSelf-perception in literature. 615 0$aSex role in literature. 615 0$aSex in literature. 676 $a823/.91409353 700 $aMwangi$b Evan$01506909 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778138903321 996 $aAfrica writes back to self$93738582 997 $aUNINA LEADER 05640nam 2200673Ia 450 001 9910830716403321 005 20230422045501.0 010 $a1-282-01035-2 010 $a9786612010354 010 $a3-527-61308-0 010 $a3-527-61309-9 035 $a(CKB)1000000000552467 035 $a(EBL)481394 035 $a(SSID)ssj0000267790 035 $a(PQKBManifestationID)11239598 035 $a(PQKBTitleCode)TC0000267790 035 $a(PQKBWorkID)10211956 035 $a(PQKB)10072221 035 $a(MiAaPQ)EBC481394 035 $a(OCoLC)214282307 035 $a(EXLCZ)991000000000552467 100 $a20010103d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aVirtual screening for bioactive molecules$b[electronic resource] /$fedited by Hans-Joachim Bo?hm and Gisbert Schneider 210 $aWeinheim ;$aNew York $cWiley-VCH$dc2000 215 $a1 online resource (327 p.) 225 1 $aMethods and principles in medicinal chemistry ;$v10 300 $aDescription based upon print version of record. 311 $a3-527-30153-4 320 $aIncludes bibliographical references and index. 327 $aVirtual Screening for Bioactive Molecules; Preface; A Personal Foreword; Contents; List of Contributors; Prologue; 1 High-Throughput Screening and Virtual Screening: Entry Points to Drug Discovery; 1.1 Introduction; 1.2 Miniaturization and Detection Strategies; 1.2.1 Screening Plate Format and Fluidics; 1.2.2 Detection Strategies; 1.2.3 Cell-Based Reporter Gene Assays; 1.2.4 Fluorescence Correlation Spectroscopy .; 1.2.5 Microchip Fabrication; 1.2.6 Remarks and Summary; 1.3 Compound Libraries; 1.4 Multi-Dimensional Optimization: Qualifying HTS Lead Candidates; 1.5 Conclusions; References 327 $a2 Library Filtering Systems and Prediction of Drug-Like Properties2.1 Introduction; 2.2 Simple Counting Methods to Predict Drug-Likeness; 2.3 Functional Group Filters; 2.4 "Chemistry Space" Methods; 2.5 Examination of Building Blocks in Known Drugs; 2.6 Other Methods; 2.7 Conclusions and Future Directions; References; 3 Prediction of Physicochemical Properties; 3.1 Introduction; 3.2 Prediction of Lipophilicity; 3.2.1 Fragment-Based Methods; 3.2.2 Methods Based on Molecular Properties; 3.2.3 Predictive Ability of Existing Techniques; 3.2.4 Other Solvent Systems; 3.2.5 Effect of Ionization 327 $a3.3 Prediction of Solubility3.3.1 Fragmental Approaches; 3.3.2 Property-Based Methods; 3.3.3 Conclusions; 3.4 Prediction of pKa; 3.4.1 Fragment-Based Methods; 3.4.2 Methods Based on Molecular Properties; 3.4.3 Conclusions; 3.5 Prediction of Protein Binding; 3.6 Conclusions; References; 4 Descriptor-Based Similarity Measures for Screening Chemical Databases; 4.1 Introduction; 4.2 Fragment-Based Similarity Searching; 4.3 Association and Distance Coefficients for Similarity Searching; 4.4 Structural Representations for Similarity Searching; 4.4.1 Descriptor Selection; 4.4.2 Descriptor Encoding 327 $a4.5 ConclusionsReferences; 5 Modelling Structure-Activity Relationships; 5.1 Introduction; 5.2 Hansch Analysis; 5.3 3-D QSAR; 5.4 Alignment-Free 3-D Descriptors; 5.5 Topological Descriptors; 5.6 Pharmacophores and Pharmacophoric Keys; 5.7 Conclusions; 5.8 Appendix - Statistical Techniques in QSAR and Pattern Recognition; 5.8.1 Data Reduction and Display; 5.8.1.1 Principal Component Analysis; 5.8.1.2 Non-Linear Mapping; 5.8.1.3 Neural Networks; 5.8.2 Regression Techniques; 5.8.2.1 Multiple Linear Regression; 5.8.2.2 Principal Component Regression and Partial Least Squares 327 $a5.8.3 Classification Techniques5.8.3.1 Linear Discriminant Analysis; 5.8.3.2 Soft Independent Modelling of Class Analogy; 5.8.3.3 Recursive Partitioning; References; 6 Database Profiling by Neural Networks; 6.1 "Drug-Likeness": A General Compound Property?; 6.2 Methods and Programs; 6.2.1 Databases; 6.2.2 Descriptors; 6.2.3 Classification Tools; 6.2.4 Complete Algorithm; 6.3 Applications; 6.3.1 Drug-Likeness and a Recipe for a Computational Filter; 6.3.2 Crop Protection Compounds; 6.3.3 Virtual High-Throughput Screens; 6.3.4 Optimization of Combinatorial Libraries; 6.4 Conclusions; References 327 $a7 Pharmacophore Pattern Application in Virtual Screening. Library Design and QSAR 330 $aRecent progress in high-throughput screening, combinatorial chemistry and molecular biology has radically changed the approach to drug discovery in the pharmaceutical industry. New challenges in synthesis result in new analytical methods. At present, typically 100,000 to one million molecules have to be tested within a short period and, therefore, highly effective screening methods are necessary for today's researchers - preparing and characterizing one compound after another belongs to the past. 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