LEADER 03642nam 22005293 450 001 9911019568303321 005 20250629110056.0 010 $a1-394-24247-6 010 $a1-394-24245-X 010 $a1-394-24246-8 035 $a(CKB)38440566500041 035 $a(MiAaPQ)EBC32011418 035 $a(Au-PeEL)EBL32011418 035 $a(OCoLC)1515460754 035 $a(CaSebORM)9781394242443 035 $a(OCoLC)1515404537 035 $a(OCoLC-P)1515404537 035 $a(EXLCZ)9938440566500041 100 $a20250419d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Neuropharmacology $eFundamentals and Clinical Aspects 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2025. 210 4$dİ2025. 215 $a1 online resource (512 pages) 311 08$a1-394-24244-1 330 $aThe book gives comprehensive insights into the cutting-edge intersection of computational methods and neuropharmacology, making it an essential resource for understanding and advancing medication for neurological and psychiatric disorders. Computational Neuropharmacology is an in-depth exploration of the convergence of computational methods with neuropharmacology, a science concerned with understanding pharmacological effects on the nervous system. This volume explores the most recent breakthroughs and potential advances in computational neuropharmacology, providing an extensive overview of the computational tools that are transforming medication discovery and development for neurological and psychiatric illnesses. Fundamental principles of computational neuropharmacology, descriptions of molecular-level interactions and their consequences for modern neuropharmacology, and an introduction to theoretical neuroscience are highlighted throughout this resource. Additionally, this study addresses computational attitudes in counseling psychology to improve therapeutic procedures through data-driven insights. Computational psychiatry uses computational technologies to bridge the gap between the molecular basis and clinical symptoms of psychiatric diseases. This volume covers computational approaches to drug discovery in neurohumoral transmission and signal transduction, Parkinson's disease, epilepsy, and Alzheimer's disease, and the use of molecular docking and machine learning in drug development for neurological disorders. It also discusses the use of computational methods to uncover potential treatments for autism spectrum disorder, depression, and anxiety. Audience This book is a valuable resource for computer scientists, engineers, researchers, clinicians, and students, providing a detailed understanding of the computational tools that are changing the developing field of neuropharmacology, leading the future of medication discovery and development for neurological and psychiatric illnesses by combining modern computational approaches with neuropharmacological research. 606 $aNeuropharmacology$xData processing 606 $aComputational neuroscience 615 0$aNeuropharmacology$xData processing. 615 0$aComputational neuroscience. 676 $a615.7/8 700 $aPrajapati$b Bhupendra$01840887 701 $aTripathi$b Alok$01840888 701 $aMalviya$b Rishabha$01430067 701 $aMohapatra$b Lucy$01840889 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019568303321 996 $aComputational Neuropharmacology$94420455 997 $aUNINA