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The guide to approaching leadership in a rapidly changing world. When change requires you to challenge people's familiar reality, it can be difficult, dangerous work. Whatever the context--whether in the private or the public sector--many will feel threatened as you push though major changes. But as a leader, you need to find a way to make it work. Ron Heifetz first defined this problem with his distinctive theory of adaptive leadership in Leadership Without Easy Answers. In a second book, Leadership on the Line, Heifetz and coauthor Marty Linsky highlighted the individual and organizational dangers of leading through deep change in business, politics, and community life. Now, Heifetz, Linsk...
In times of constant change, adaptive leadership is critical. This Harvard Business Review collection brings together the seminal ideas on how to adapt and thrive in challenging environments, from leading thinkers on the topic—most notably Ronald A. Heifetz of the Harvard Kennedy School and Cambridge Leadership Associates. The Heifetz Collection includes two classic books: Leadership on the Line, by Ron Heifetz and Marty Linsky, and The Practice of Adaptive Leadership, by Heifetz, Linsky, and Alexander Grashow. Also included is the popular Harvard Business Review article, “Leadership in a (Permanent) Crisis,” written by all three authors. Available together for the first time, this col...
Firstborn, which celebrates the legacy of Luis Fred Kennedy, his family and business, is a narrative that takes on a character of its own, larger than life. At the age of twenty one, after the sudden death of his father in 1930, Luis Fred became co-manager of Grace, Kennedy & Co. Ltd., a Jamaican enterprise founded by his father and Dr. John J. Grace in 1922. Serving as Governing Director (1947-1973), Luis Fred Kennedy laid the foundation for the company to become what it is today—a global consumer group, one of the largest and most innovative corporate entities in the Caribbean. The author portrays his father Luis Fred Kennedy to be a passionate nationalist, humanist, and advocate of priv...
This volume looks at applications of artificial intelligence (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: structure- and ligand-based, augmented and multi-objective de novo 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 in the highly successful Methods in Molecular Biology 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. Cutting-edge and unique, Artificial Intelligence in Drug Design is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.
This book reviews current techniques used in membrane protein structural biology, with a strong focus on practical issues. The study of membrane protein structures not only provides a basic understanding of life at the molecular level but also helps in the rational and targeted design of new drugs with reduced side effects. Today, about 60% of the commercially available drugs target membrane proteins and it is estimated that nearly 30% of proteins encoded in the human genome are membrane proteins. In recent years much effort has been put towards innovative developments to overcome the numerous obstacles associated with the structure determination of membrane proteins. This book reviews a var...
June 07-08, 2017 Milan,. Italy Key Topics : Medicinal Chemistry, Synthetic Organic Chemistry, Drug Design and Drug Development, CADD (Computer Aided Drug Design), Bioorganic and Medicinal Chemistry, Pharmacology and toxicology, BioInorganic Chemistry, Organometallic Chemistry, Radiopharmaceuticals, Chemical Biology, Anticancer agents in Medicinal Chemistry, Pharmaceutical Industry, Clinical Pharmacology, Pharmaceutical Sciences, Bioisostere, Analytical Chemistry, Nanomedicine, Stereochemistry, Pharmacovigilance,
This book covers recent advances of the fragment molecular orbital (FMO) method, consisting of 5 parts and a total of 30 chapters written by FMO experts. The FMO method is a promising way to calculate large-scale molecular systems such as proteins in a quantum mechanical framework. The highly efficient parallelism deserves being considered the principal advantage of FMO calculations. Additionally, the FMO method can be employed as an analysis tool by using the inter-fragment (pairwise) interaction energies, among others, and this feature has been utilized well in biophysical and pharmaceutical chemistry. In recent years, the methodological developments of FMO have been remarkable, and both r...
This volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein–ligand poses, describing molecular similarity, structure–activity-relationship (SAR) analysis, and ADMET prediction. Written in the highly successful Methods in Molecular Biology 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. Cutting-edge and unique, Quantum Mechanics in Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.