{"product_id":"artificial-intelligence-in-drug-design-alexander-heifetz-9781071617861","title":"Artificial Intelligence in Drug Design","description":"\u003cp\u003e\u003cb\u003e1. Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Morgan Thomas, Andrew Boardman, Miguel Garcia-Ortegon, Hongbin Yang, Chris de Graaf, and Andreas Bender\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Andreas H. Göller, Lara Kuhnke, Antonius ter Laak, Katharina Meier, and Alexander Hillisch\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Fighting COVID-19 with Artificial Intelligence\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Stefania Monteleone, Tahsin F. Kellici, Michelle Southey, Michael J. Bodkin, and Alexander Heifetz\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Application of Artificial Intelligence and Machine Learning in Drug Discovery\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Rishi R. Gupta\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Deep Learning and Computational Chemistry\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Tim James and Dimitar Hristozov\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. \u003c\/b\u003e\u003cb\u003eHas Drug Design Augmented by Artificial Intelligence Become a Reality?\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Atanas Patronov, Kostas Papadopoulos, and Ola Engkvist\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Network Driven Drug Discovery\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jonny Wray and Alan Whitmore\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. \u003c\/b\u003e\u003cb\u003ePredicting Residence Time of GPCR Ligands with Machine Learning\u003c\/b\u003e\u003c\/p\u003e Andrew Potterton, Alexander Heifetz, and Andrea Townsend-Nicholson\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. De Novo Molecular Design with Chemical Language Models\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Francesca Grisoni and Gisbert Schneider\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Deep Neural Networks for QSAR\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Yuting Xu\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Deep Learning in Structure-Based Drug Design\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Andrew Anighoro\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Deep Learning Applied to Ligand-Based De Novo Drug Design\u003c\/b\u003e\u003c\/p\u003e Ferruccio Palazzesi and Alfonso Pozzan\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Ultra-High Throughput Protein-Ligand Docking with Deep Learning\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Austin Clyde\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Tânia Cova, Carla Vitorino, Márcio Ferreira, Sandra Nunes, Paola Rondon-Villarreal, and Alberto Pais\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Artificial Intelligence in Compound Design\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Christoph Grebner, Hans Matter, and Gerhard Hessler\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. \u003c\/b\u003e\u003cb\u003eArtificial Intelligence, Machine Learning, and Deep Learning in Real Life Drug Design Cases\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Christophe Muller, Obdulia Rabal Gracia, and Constantino Diaz Gonzalez\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Artificial Intelligence-Enabled De Novo Design of Novel Compounds that are Synthesizable\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Govinda Bhisetti and Cheng Fang\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Machine Learning from Omics Data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e René Rex\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. Deep Learning in Therapeutic Antibody Development\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Alexander Heifetz\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1071617869\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781071617861\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Humana\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/04\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 529\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.40lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.30h x 8.50w x 1.20d\u003c\/b\u003e\u003c\/p\u003e","brand":"Alexander Heifetz","offers":[{"title":"Hardcover","offer_id":44076394545407,"sku":"9781071617861","price":249.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_8fab70a9-faa4-460c-ace4-75a35a53b413.jpg?v=1685464754","url":"https:\/\/www.whiterainbookhouse.com\/products\/artificial-intelligence-in-drug-design-alexander-heifetz-9781071617861","provider":"WR Book House","version":"1.0","type":"link"}