Biomolecular Forms And Functions: A Celebration Of 50 Years Of The Ramachandran Map


Book Description

Understanding the functions and properties of molecules in living systems requires a detailed knowledge of their three-dimensional structures and the conformational variability that allows them to adopt multiple functional forms. Interpreting biological systems in the language of three-dimensional structures is of fundamental importance and innumerable research groups around the world are working in this area. This book is a compilation of articles describing attempts at understanding the intricacies of biological systems through the structures of and interactions between their constituent molecules.




Biomolecular Forms and Functions


Book Description

This volume is primarily a compilation of contributed articles representing the impact and application of Ramachandran's work on conformation analysis of biopolymers, as well as recent advances in macromolecular structural biology, involving diverse experimental and computational approaches. This volume is being published to coincide with a conference on "Biomolecular Forms and Functions: A celebration of 50 years of the Ramachandran Map" being held at the Indian Institute of Science, Bangalore, in January 2013.




Artificial Intelligence on Dark Matter and Dark Energy


Book Description

As we prod the cosmos at very large scales, basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence (AI) for answers and describes the outcome of this quest in terms of an ur-universe, a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold. In some ways, AI is bolder than humans because the huge corpus of knowledge, starting with the prodigious Standard Model (SM) of particle physics, poses almost no burden to its conjecture-framing processes. Why not feed AI with the SM enriched by the troubling cosmological phenomenology on dark matter and dark energy and see where AI takes us vis-à-vis reconciling the conflicting data with the laws of physics? This is precisely the intellectual adventure described in this book and – to the best of our knowledge – in no other book on the shelf. As the reader will discover, many AI conjectures and validations ultimately make a lot of sense, even if their boldness does not feel altogether "human" yet. This book is written for a broad readership. Prerequisites are minimal, but a background in college math/physics/computer science is desirable. This book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery.




Topological Dynamics in Metamodel Discovery with Artificial Intelligence


Book Description

The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level. Dealing with artificial intelligence, this book delineates AI’s role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multiscale hierarchies hitherto considered off limits for data science. Key Features: Introduces new and advanced methods of model discovery for time series data using artificial intelligence Implements topological approaches to distill "machine-intuitive" models from complex dynamics data Introduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equations Heralds a new era in data-driven science and engineering based on the operational concept of "computational intuition" Intended for graduate students, researchers, and practitioners interested in dynamical systems empowered by AI or machine learning and in their biological, engineering, and biomedical applications, this book will represent a significant educational resource for people engaged in AI-related cross-disciplinary projects.




Methods in Protein Design


Book Description

This new volume of Methods in Enzymology continues the legacy of this premier serial by containing quality chapters authored by leaders in the field. This volume covers methods in protein design and it has chapters on such topics as protein switch engineering by domain insertion, evolution based design of proteins, and computationally designed proteins. - Continues the legacy of this premier serial with quality chapters authored by leaders in the field - Covers methods in protein design - Contains chapters with such topics as protein switch engineering by domain insertion, evolution-based design of proteins, and computationally designed proteins




Computer-Aided Drug Design


Book Description

Computer-Aided Drug Design (CADD) is a comprehensive guide designed for both beginners and experienced users in CADD. This book covers the fundamental principles and gradually delves into more advanced concepts and techniques, making it an invaluable resource to anyone interested in CADD. It begins by establishing a solid foundation, explaining the core concepts of CADD, the user interface and essential tools. It covers QSAR, molecular docking, homology modeling, virtual screening, pharmacophore modeling, ensuring that the reader can quickly become proficient in CADD. The book provides in-depth insights into 3D modeling, rendering, and parametric design. The style of the book is simple, every topic begins from the very basics and explores advanced levels with clarity. Practical examples, step-by-step tutorials and hands-on exercises, are included for better understanding.







Molecular Modeling and Simulation


Book Description

Very broad overview of the field intended for an interdisciplinary audience; Lively discussion of current challenges written in a colloquial style; Author is a rising star in this discipline; Suitably accessible for beginners and suitably rigorous for experts; Features extensive four-color illustrations; Appendices featuring homework assignments and reading lists complement the material in the main text




Yanomami


Book Description

A highly readable book about the remarkable relationship between a forest people and their environment -- the watershed between the Brazilian Amazon and the Venezuelan Orinoco. It provides a fascinating insight into their culture and intricate knowledge of plants, animals and the ecology of the environment in which they live.




Intelligent Computing and Innovation on Data Science


Book Description

This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.