{"title":"Walter Filgueira De Azevedo Jr","description":null,"products":[{"product_id":"docking-screens-for-drug-discovery-book-walter-filgueira-de-azevedo-jr-9781493997510","title":"Docking Screens for Drug Discovery","description":"This book focuses on recent developments in docking simulations for target proteins with chapters on specific techniques or applications for docking simulations, including the major docking programs. Additionally, the volume explores the scoring functions developed for the analysis of docking results and to predict ligand-binding affinity as well as the importance of docking simulations for the initial stages of drug discovery. Written for the highly successful Methods in Molecular Biology series, this collection presents the kind of detail and key implementation advice to ensure successful results.  Authoritative and practical, Docking Screens for Drug Discovery aims to serve those interested in molecular docking simulation and also in the application of these methodologies for drug discovery.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49733562040593,"sku":"NGR9781493997510","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1493997513.jpg?v=1751211166"},{"product_id":"docking-screens-for-drug-discovery-book-walter-filgueira-de-azevedo-jr-9781071649480","title":"Docking Screens for Drug Discovery","description":"This second edition volume expands on the previous edition with discussions on the latest advancements in artificial intelligence (AI) applications in protein-drug interaction studies, and describes applications of different computational methodologies for drug discovery and creating efficient docking workflows using Jupyter Notebooks. The chapters in this book cover topics such as AlphaFold; AI models to address protein-ligand interactions; machine-learning models to predict binding affinity based on the atomic coordinates of protein-ligand complexes; AutoDock Vina; Molegro Virtual Docker (MVD); and workflows integrating docking engines and machine-learning techniques to build regression models and apply them to drug discovery. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  Cutting-edge and thorough, Docking Screens for Drug Discovery, Second Edition is a valuable reference for all researchers interested in learning more about the development of computational tools for drug discovery.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52656280928529,"sku":"NLS9781071649480","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781071649480.jpg?v=1762223904"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-walter-filgueira-de-azevedo-jr.oembed","provider":"World of Books ","version":"1.0","type":"link"}