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020 _a9781394242474
_qelectronic
024 7 _a10.1002/9781394242474
_2doi
040 _aTR-AnTOB
_beng
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041 0 _aeng
060 _aQV76.5
_bC738 2025
096 _aQV76.5
_bC738 2025EBK
245 0 0 _aComputational Neuropharmacology :
_bfundamentals and clinical aspects /
_h[electronic resource]
_cEdited by Bhupendra Prajapati, Alok Tripathi, Rishabha Malviya, Lucy Mohapatra.
264 1 _aNewark :
_bWiley,
_c2025.
300 _a1 online resource (xxii, 487 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_2rdaft
347 _bPDF
520 _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.
650 4 _aComputational Chemistry & Molecular Modeling
650 4 _aNeuroscience
650 4 _aPharmaceutical & Medicinal Chemistry
655 7 _aElectronic books
_2local
_92032
700 1 _aPrajapati, Bhupendra
_eeditor
700 1 _aTripathi, Alok
_eeditor
700 1 _aMalviya, Rishabha
_eeditor
700 1 _aMohapatra, Lucy
_eeditor
776 0 8 _iPrinted edition:
_z9781394242443
856 4 0 _uhttps://doi.org/10.1002/9781394242474
_aWiley Online Library
856 4 0 _uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394242474
_aWiley Online Library
856 4 2 _3Cover Image
_uhttps://onlinelibrary.wiley.com/cms/asset/3361c38a-f775-43fc-8a58-80e325da51c6/9781394242474.cover.gif
_aWiley Online Library
942 _2NLM
_cEBK
999 _c200467306
_d85518