03597nam 2200661Ia 450 991096032780332120200520144314.01-280-81056-497866108105671-4294-6772-X1-60750-219-4600-00-0604-71-4337-0155-3(CKB)1000000000340132(EBL)287003(SSID)ssj0000267733(PQKBManifestationID)11195663(PQKBTitleCode)TC0000267733(PQKBWorkID)10211843(PQKB)10057265(Au-PeEL)EBL287003(CaPaEBR)ebr10167400(CaONFJC)MIL81056(MiAaPQ)EBC287003(OCoLC)491261273(EXLCZ)99100000000034013220061115d2006 uy 0engur|n|---|||||txtccrVirtual ADMET assessment in target selection and maturation /edited by B. Testa and L. Turski1st ed.Amsterdam ;Washington, DC IOS Pressc20061 online resource (268 p.)Solvay Pharmaceuticals Conferences,1566-7685 ;v. 6Organized May 11-13th, 2005 in Lucerne, Switzerland.1-58603-703-X Includes bibliographical references and index.Preface; List of Contributors; Contents; Conference Preface; The Risky Business of Developing Drugs; Benefits and Limits of in Silico Predictions; Musings on ADME Predictions and Molecular Structure; Lipophilicity: Its Calculation and Application in ADMET Predictions; Interpretation of the Role of the Electrotopological State and Molecular Connectivity Indices in the Prediction of Physical Properties and ADME-Tox Behavior - Case Study: Human Plasma Protein Binding; Molecular Descriptors for Predicting ADMET Properties; Molecular Fields to Assess Recognition Forces and Property SpacesExtracting Pharmacophores from Bio-Active MoleculesIn Silico Models for Human Bioavailability; In Silico Models to Predict Brain Uptake; Algorithms to Predict Affinity for Transporters; Predicting Affinity for and Metabolism by Cytochromes P450; Expert Systems to Predict Biotransformation; Expert Systems to Predict Toxicity; From in Vivo to in Vitro/in Silico ADME: Progress and Challenges; Author IndexToday, biologists and medicinal chemists realize that there is a strong relationship between pharmacodynamic (what the drug does to the organism) and pharmacokinetic (what the organism does to the drug) effects. A significant contributing factor to the evolution in drug discovery was the methodological and technological revolution with the advent of combinatorial chemistry, high-throughput screening and profiling, and in silico prediction of target-based activity and ADMET (absorption, distribution, metabolism, excretion and toxicity) properties. High-throughput screening and in silico methodsSolvay Pharmaceuticals Conferences ;v. 6.Drug developmentComputer simulationCongressesPharmacologyDrug developmentComputer simulationPharmacology.615/.190285Testa Bernard290760Turski Lechoslaw1820689MiAaPQMiAaPQMiAaPQBOOK9910960327803321Virtual ADMET assessment in target selection and maturation4383041UNINA03489nam 22005655 450 991099978080332120250416130154.03-031-82865-810.1007/978-3-031-82865-2(CKB)38429121800041(DE-He213)978-3-031-82865-2(MiAaPQ)EBC32010890(Au-PeEL)EBL32010890(EXLCZ)993842912180004120250416d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRandom Number Generators Verilog Description, Hardware Implementation and Applications /by Luis Gerardo de la Fraga, José David Rodríguez-Muñoz, Esteban Tlelo-Cuautle1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XIV, 195 p. 105 illus., 51 illus. in color.) 3-031-82864-X Chapter 1: Introduction to the Design and Implementation of PRNGs Based on Chaotic Maps and Systems -- Chapter 2: Numerical Methods to Approximate Integer/Fractional-Order Chaotic Systems -- Chapter 3: Verilog Descriptions of Digital Blocks to Synthesize Chaotic Maps and Systems -- Chapter 4: Statistical Tests for PRNGs -- Chapter 5: PRNGs based on Chaotic Maps and 3D, 4D and 5D Chaotic Systems -- Chapter 6: PRNG Based on Fractional-Order Chaotic Systems -- Chapter 7: Chaos-Based Encryption and Authentication of RGB Images.This book discusses the details of random number generation (RNG) as a key technology that is used for information security in various fields, such as electronic commerce and authentication. Readers will see how random numbers are used in various applications such as in the generation of keys for data encryption, games, lotteries, sampling, simulations, statistical sampling, search/sort algorithms, and gambling. The authors describe how the classification of RNGs encompasses linear and nonlinear (chaotic) pseudo and truly random number generators, and how they can be evaluated by applying statistical tests. Covers a vast array of special topics on fractional-order chaotic circuits and systems to develop applications in information security; Describes details of using FPGAs to approach chaotic maps and fractional-order circuits and systems for hardware security; Includes Verilog hardware description for random number generation.Electronic circuit designEmbedded computer systemsCooperating objects (Computer systems)Electronics Design and VerificationEmbedded SystemsCyber-Physical SystemsElectronic circuit design.Embedded computer systems.Cooperating objects (Computer systems)Electronics Design and Verification.Embedded Systems.Cyber-Physical Systems.621.3815de la Fraga Luis Gerardoauthttp://id.loc.gov/vocabulary/relators/aut788103Rodríguez-Muñoz José Davidauthttp://id.loc.gov/vocabulary/relators/autTlelo-Cuautle Estebanauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910999780803321Random Number Generators4374978UNINA