LEADER 05597nam 2200721Ia 450 001 9910453549603321 005 20200520144314.0 010 $a1-281-90896-7 010 $a9786611908966 010 $a981-270-713-1 035 $a(CKB)1000000000552299 035 $a(EBL)1214939 035 $a(SSID)ssj0000292367 035 $a(PQKBManifestationID)12068780 035 $a(PQKBTitleCode)TC0000292367 035 $a(PQKBWorkID)10268886 035 $a(PQKB)10443975 035 $a(MiAaPQ)EBC1214939 035 $a(WSP)00005998 035 $a(Au-PeEL)EBL1214939 035 $a(CaPaEBR)ebr10698812 035 $a(CaONFJC)MIL190896 035 $a(OCoLC)854973185 035 $a(EXLCZ)991000000000552299 100 $a20060911d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputer simulation of shaped charge problems$b[electronic resource] /$fWen Ho Lee 210 $aSingapore ;$aHackensack, NJ $cWorld Scientific$dc2006 215 $a1 online resource (220 p.) 300 $aDescription based upon print version of record. 311 $a981-256-623-6 320 $aIncludes bibliographical references and indexes. 327 $aContents; A Personal Introduction; Chapter 1 Small Molecules for Chemogenomics-based Drug Discovery Edgar Jacoby, Ansgar Schuffenhauer, Kamal Azzaoui, Maxim Popov, Sigmar Dressler, Meir Glick, Jeremy Jenkins, John Davies and Silvio Roggo; 1. Introduction; 2. Compound Categories; 2.1. Natural products and derivatives; 2.2. Primary metabolites, co-substrates, co-factors, and marketed drugs; 2.3. Peptides and peptido-mimetics; 2.4. Diversity oriented synthesis molecules; 3. Designing Comprehensive Chemogenomics Screening Compound Collections 327 $a4. Essential Properties and Selection Processes along the Discovery Pipeline5. Molecular Information Systems and Annotated Compound Libraries; 6. Conclusion; Acknowledgements; References; Chapter 2 Mapping the Chemogenomic Space Jordi Mestres; 1. The Chemogenomic Space; 2. Annotation and Classification Schemes for Proteins; 2.1. Enzymes; 2.2. Receptors; 2.2.1. Channel receptors; 2.2.2. G Protein-coupled receptors; 2.2.3. Nuclear receptors; 3. Structural Representativity of Protein Families; 4. Annotation and Classification Schemes for Molecules; 5. Mapping the Molecule-Protein Space 327 $a6. Exploiting the Chemogenomic Space 7. Conclusions; References; Chapter 3 Natural Product Scaffolds and Protein Structure Similarity Clustering (PSSC) as Inspiration Sources for Compound Library Design in Chemogenomics and Drug Development Frank J. Dekker, Stefan Wetzel and Herbert Waldmann; 1. Introduction; 2. Biological Relevance in Compound Library Design; 2.1. Compound libraries as sources for small molecule modulators of protein function; 2.2. Annotated libraries; 2.3. Natural products as inspiration sources for library design; 2.4. Library design based on privileged structures 327 $a3. Natural Product Inspired Compound Library Synthesis 4. Target Clustering as Strategy in Drug Discovery; 4.1. Target clustering; 4.2. Target clustering based on structural and functional similarity; 5. PSSC as Guiding Principle for Compound Library Design; 5.1. Protein structure similarity clustering (PSSC); 5.2. PSSC based reanalysis of the development of leukotriene A4 hydrolase inhibitors; 5.3. PSSC based reanalysis of the development of nuclear hormone receptor ligands 327 $a5.4. Application of PSSC for de novo ligand development for the protein cluster Cdc25A phosphataseacetylcholinesterase-11?-hydroxysteroid dehydrogenase5.5. Position of the PSSC concept in drug development and chemogenomics; 6. Conclusions; Acknowledgments; References; Chapter 4 A Reductionist Approach to Chemogenomics in the Design of Drug Molecules and Focused Libraries Roger Crossley and Martin Slater; 1. Introduction; 2. Molecular Recognition and Vicinity AnalysisTM; 3. Thematic AnalysisTM; Examples of Themes; 4. Family B and C GPCRs; 5. Classification of GPCRs; 6. Pharmacophore Maps 327 $a7. Library Design Using Thematic AnalysisTM 330 $aDevoted to the subject of shape charge design using numerical methods, this book offers the defense and commercial industries unique material not contained in any other single volume. The coverage of the Lagrangian and Eulerian methods as well as the equation of state provides first hand help to engineers working on shape charge problems.The book includes detailed descriptions of oil-well perforation not available from any other sources and, coupled with the material flow physics discussed in Chapters 2 and 3 and Appendix B, readers can design the fuel rod configurations for a nuclear reactor 606 $aShaped charges$xComputer simulation 606 $aShaped charges$xMathematical models 606 $aFlow visualization$xComputer simulation 606 $aPenetration mechanics$xComputer simulation 606 $aLagrange equations 608 $aElectronic books. 615 0$aShaped charges$xComputer simulation. 615 0$aShaped charges$xMathematical models. 615 0$aFlow visualization$xComputer simulation. 615 0$aPenetration mechanics$xComputer simulation. 615 0$aLagrange equations. 676 $a623.4/545 700 $aLee$b Wen Ho$0948126 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453549603321 996 $aComputer simulation of shaped charge problems$92143102 997 $aUNINA LEADER 05664nam 2201381z- 450 001 9910566483203321 005 20220506 035 $a(CKB)5680000000037548 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81036 035 $a(oapen)doab81036 035 $a(EXLCZ)995680000000037548 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIdentification and Characterization of Genetic Components in Autism Spectrum Disorders 2019 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (256 p.) 311 08$a3-0365-3609-4 311 08$a3-0365-3610-8 330 $aThe Identification of the Genetic Components of Autism Spectrum Disorders 2019 will serve as a resource for laboratory and clinical scientists as well as translational-based researchers, primary healthcare providers or physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, and other healthcare providers, teachers, caregivers and students involved in autism spectrum disorders (ASD) with the goal to translate information directly to the clinic, education and home setting. Other professionals, students and families might find this textbook of value based on better awareness, causes and understanding of genetic components leading to autism and open avenues for treatment. Genetics play a role with up to 90% of autism, with over 800 currently recognized genes contributing to causes, clinical presentation, treatment, and counseling of family members. This textbook includes 13 chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to research and clinical care, description, treatment and generating relevant reviews for ASD and related disorders impacting gene expression, profiling, and pathways. Identification of potential risk factors will be discussed, including obesity, microbiota, malignancy, and the immune system, as well as their direct or indirect contribution to ASD treatment and causation. 606 $aBiology, life sciences$2bicssc 606 $aGenetics (non-medical)$2bicssc 606 $aResearch & information: general$2bicssc 610 $a15q11.2 BP1-BP2 microdeletion (Burnside-Butler syndrome) 610 $a15q11.2 BP1-BP2 microdeletion (Burnside-Butler) syndrome 610 $aAMPA receptors 610 $aAmplideX 610 $aanimal model 610 $aASD 610 $aautism 610 $aautism candidate genes 610 $aautism spectrum disorder 610 $aAutism spectrum disorder 610 $aautism spectrum disorders 610 $aautism spectrum disorders (ASD) 610 $abiological networks 610 $aBMI 610 $aBody mass index 610 $acancer 610 $acase-control association analysis 610 $acollapsin response mediator protein 4 610 $aCYFIP1 610 $acytokine 610 $adata integration 610 $adevelopmental delays 610 $aDNA methylation 610 $aepigenetics 610 $aexpression profile 610 $afragile X syndrome 610 $agene expression 610 $agenetics 610 $agenomics 610 $aguanine nucleotide exchange factor 610 $agut 610 $agut-brain interaction 610 $aheterogeneity reduction 610 $aIL-6 610 $aimprinting 610 $aintellectual disability 610 $aleaky gut 610 $amagnesium transporters and supplementation 610 $amaternal immune activation 610 $amice 610 $amicrobiome 610 $amicroRNA- interactions 610 $amolecular functions and processes 610 $amonocyte 610 $amosaicism 610 $amotor delays 610 $aMS-QMA 610 $amulti-omics 610 $ananostring 610 $anetwork diffusion 610 $aneurodevelopmental disorder 610 $aNIPA1 610 $aNIPA2 610 $aNMDA receptors 610 $aObesity 610 $aoverlapping genes and gene profiling 610 $aOverweight 610 $aparent-of-origin effects 610 $apediatrics 610 $aPhelan McDermid Syndrome 610 $aphenotype-genotype correlation 610 $aphenotypes and diseases 610 $apostnatal VPA injection 610 $apotential treatment options 610 $aPrader-Willi and Angelman syndromes 610 $aProSAP2 610 $aquantitative traits 610 $aRNA toxicity 610 $aSAM 610 $asex different phenotypes 610 $aSHANK 610 $astratification by trait severity 610 $aSTRING-protein-protein interaction 610 $asuper-pathways 610 $asynaptic plasticity 610 $asynaptotagmin-like protein 4 (SYTL4) 610 $aSYTL4-protein structure 610 $aT cell cytokine 610 $atrained immunity 610 $atransmembrane protein 187 (TMEM187) 610 $aTUBGCP5 genes 610 $awhole-exome sequencing 610 $a?-glucan 615 7$aBiology, life sciences 615 7$aGenetics (non-medical) 615 7$aResearch & information: general 700 $aButler$b Merlin G$4edt$01261076 702 $aButler$b Merlin G$4oth 906 $aBOOK 912 $a9910566483203321 996 $aIdentification and Characterization of Genetic Components in Autism Spectrum Disorders 2019$93037291 997 $aUNINA