LEADER 00820nam0-22002771i-450- 001 990006647220403321 005 20001010 035 $a000664722 035 $aFED01000664722 035 $a(Aleph)000664722FED01 035 $a000664722 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a<>Myth of International Security. A juridical and Critical Analysis$fA.V. Levontin 210 $aJerusalem$cHebrew University$d1957 215 $ap.XXIV,346$dcm 22 700 1$aLevontin,$bA.V.$0248476 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006647220403321 952 $aIII E 2$b4465$fFSPBC 959 $aFSPBC 996 $aMyth of International Security. A juridical and Critical Analysis$9613575 997 $aUNINA DB $aGEN01 LEADER 04575nam 22007215 450 001 9910734828903321 005 20251008150432.0 010 $a9783031338717 010 $a3031338715 024 7 $a10.1007/978-3-031-33871-7 035 $a(MiAaPQ)EBC30614306 035 $a(Au-PeEL)EBL30614306 035 $a(DE-He213)978-3-031-33871-7 035 $a(PPN)272261637 035 $a(CKB)27357712500041 035 $a(OCoLC)1389416893 035 $a(EXLCZ)9927357712500041 100 $a20230630d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCurrent Trends in Computational Modeling for Drug Discovery /$fedited by Supratik Kar, Jerzy Leszczynski 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (311 pages) 225 1 $aChallenges and Advances in Computational Chemistry and Physics,$x2542-4483 ;$v35 311 08$aPrint version: Kar, Supratik Current Trends in Computational Modeling for Drug Discovery Cham : Springer International Publishing AG,c2023 9783031338700 327 $aSBDD and its challenges -- In silico discovery of class IIb HDAC inhibitors: The state of art -- Role of computational modelling in drug discovery for Alzheimer?s disease -- Computational Modeling in the Development of Antiviral Agents -- Targeted computational approaches to identify potential inhibitors for Nipah virus -- Role of Computational Modelling in Drug Discovery for HIV -- Recent insight of the emerging severe fever with thrombocytopenia syndrome virus: drug discovery, therapeutic options, and limitations -- Computational toxicological aspects in drug design and discovery, screening adverse effects -- Read-Across and RASAR tools from the DTC Laboratory -- Databases for Drug Discovery and Development. 330 $aThis contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, databases, and tools employed in computer-aided drug design (CADD) covering diverse therapeutic classes. Multiple components of Structure-Based Drug Discovery (SBDD) along with its workflow and associated challenges are presented while potential leads for Alzheimer?s disease (AD), antiviral agents, anti-human immunodeficiency virus (HIV) drugs, and leads for Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) disease are discussed in detail. Computational toxicological aspects in drug design and discovery, screening adverse effects, and existing or future in silico tools are highlighted, while a novel in silico tool, RASAR, which can be a major technique for small to big datasets when not much experimental data are present, is presented. Thebook also introduces the reader to the major drug databases covering drug molecules, chemicals, therapeutic targets, metabolomics, and peptides, which are great resources for drug discovery employing drug repurposing, high throughput, and virtual screening. This volume is a great tool for graduates, researchers, academics, and industrial scientists working in the fields of cheminformatics, bioinformatics, computational biology, and chemistry. 410 0$aChallenges and Advances in Computational Chemistry and Physics,$x2542-4483 ;$v35 606 $aDrugs$xDesign 606 $aMolecules$xModels 606 $aChemistry$xData processing 606 $aPharmaceutical chemistry 606 $aPharmacology 606 $aStructure-Based Drug Design 606 $aMolecular Modelling 606 $aComputational Chemistry 606 $aMedicinal Chemistry 606 $aPharmacology 615 0$aDrugs$xDesign. 615 0$aMolecules$xModels. 615 0$aChemistry$xData processing. 615 0$aPharmaceutical chemistry. 615 0$aPharmacology. 615 14$aStructure-Based Drug Design. 615 24$aMolecular Modelling. 615 24$aComputational Chemistry. 615 24$aMedicinal Chemistry. 615 24$aPharmacology. 676 $a541.2 676 $a615.19 700 $aKar$b Supratik$01204526 701 $aLeszczynski$b Jerzy$01373306 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734828903321 996 $aCurrent Trends in Computational Modeling for Drug Discovery$93404422 997 $aUNINA