product
7337664Computer-Aided and Machine Learning-Driven Drug Designhttps://www.gandhi.com.mx/computer-aided-and-machine-learning-driven-drug-design-9783031767180/phttps://gandhi.vtexassets.com/arquivos/ids/6916534/image.jpg?v=63876325925527000039034337MXNSpringer Nature SwitzerlandInStock/Ebooks/<p>The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical industries and large academic groups rely on a broad range of professionals, including chemists, biologists, pharmacists, and computer scientists. In this sense, it is difficult to be an expert in every single CADD approach. Furthermore, there are well-established methods that are constantly revisited, and novel approaches are introduced, such as machine-learning based scoring functions for molecular docking.</p><p>This book provides an organized update of the most commonly employed CADD techniques, as well as successful examples of actual applications to develop bioactive compounds/drug candidates. Also includes is a section of case studies that cover certain pharmacological/target classes, focusing on the applications of the previously described methods. This part will especially appeal to professionals who are not as interested in the theoretical aspects of CADD.</p><p>This is an ideal book for students, researchers, and industry professionals in the fields of pharmacy, chemistry, biology, bioinformatics, computer sciences, and medicine who are seeking a go-to reference on drug design and medicinal chemistry.</p>...6975010Computer-Aided and Machine Learning-Driven Drug Design39034337https://www.gandhi.com.mx/computer-aided-and-machine-learning-driven-drug-design-9783031767180/phttps://gandhi.vtexassets.com/arquivos/ids/6916534/image.jpg?v=638763259255270000InStockMXN99999DIEbook20259783031767180_W3siaWQiOiIyMThmZDgyMS0zNTEyLTQxMTctYmZhNC1hMTZlZWU4NDVhM2MiLCJsaXN0UHJpY2UiOjQyNzcsImRpc2NvdW50Ijo0MjgsInNlbGxpbmdQcmljZSI6Mzg0OSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDYtMDJUMjI6MDA6MDBaIiwidG8iOiIyMDI1LTA2LTMwVDIzOjU5OjU5WiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9LHsiaWQiOiI1NmIzZDdlOC00YWI3LTRmN2MtOTIwYy1hMTg0YjkwNDgzMWQiLCJsaXN0UHJpY2UiOjQzMzcsImRpc2NvdW50Ijo0MzQsInNlbGxpbmdQcmljZSI6MzkwMywiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDctMDFUMDA6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9783031767180_<p>The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical industries and large academic groups rely on a broad range of professionals, including chemists, biologists, pharmacists, and computer scientists. In this sense, it is difficult to be an expert in every single CADD approach. Furthermore, there are well-established methods that are constantly revisited, and novel approaches are introduced, such as machine-learning based scoring functions for molecular docking.</p><p>This book provides an organized update of the most commonly employed CADD techniques, as well as successful examples of actual applications to develop bioactive compounds/drug candidates. Also includes is a section of case studies that cover certain pharmacological/target classes, focusing on the applications of the previously described methods. This part will especially appeal to professionals who are not as interested in the theoretical aspects of CADD.</p><p>This is an ideal book for students, researchers, and industry professionals in the fields of pharmacy, chemistry, biology, bioinformatics, computer sciences, and medicine who are seeking a go-to reference on drug design and medicinal chemistry.</p>...9783031767180_Springer Nature Switzerlandlibro_electonico_9783031767180_9783031767180InglésMéxico2025-03-31T00:00:00+00:002025-02-27T00:00:00+00:00Springer Nature Switzerland