Artificial Intelligence in Drug Design. Este artículo no está disponible.Artificial Intelligence in Drug Design

This volume looks at applications of artificial intelligence<i> </i>(AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as:&nbsp; structure- and ligand-based, augmented and multi-objective <i>de novo</i> drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written&nbsp;in the highly successful&nbsp;<em>Methods in Molecular Biology&nbsp;</em>series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.&nbsp;<div><br></div><div>Cutting-edge and&nbsp;unique,&nbsp;<i>Artificial Intelligence in Drug Design</i> is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.</div>

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.