AutoCAD Release 14 for Dummies


Book Description

Design software for architects and engineers; a complex tool with need for a dummies approach.




Discovering AutoCAD 2024


Book Description

Designed for introductory AutoCAD users, Discovering AutoCAD 2024 presents a hands-on, activity-based approach to the use of AutoCAD 2024 as a drafting tool–complete with techniques, tips, shortcuts, and insights that improve efficiency. Topics and tasks are carefully grouped to lead students logically through the AutoCAD command set, with the level of difficulty increasing steadily as skills are acquired through experience and practice. Straightforward explanations focus on what is relevant to actual drawing procedures, and illustrations show exactly what to expect on the computer screen. This edition features updates for the latest release of AutoCAD 2024, projects, and test questions for each chapter. Lessons are broken down into tasks listed at the beginning of each section, introducing students to the AutoCAD commands using a structured, intuitive approach and helping students anticipate what information will be needed at each new phase of the learning process. General Procedure boxes appear as new commands are introduced, providing a simple overview of basic command sequences in a step-by-step format. Detailed graphics demonstrate what students should expect to see on their screens, encouraging self-paced study. Each chapter concludes with drawing problems to help students apply newly learned techniques immediately to realistic drawing situations. The problems include drawing suggestions, timesaving tips, and explanations of how to use techniques in actual situations. Working drawings accompany the end-of-chapter drawing problems, appearing in a large, clearly dimensioned format on each right-hand page, with drawing suggestions on the accompanying left-hand page. This includes mechanical, architectural, civil, and electrical drawings. End-of-chapter review questions to test the student's knowledge. Discovering AutoCAD 2024 will be a valuable resource for any student wanting to learn drafting skills.




Discovering AutoCAD Release 13 for Windows


Book Description

A guide to learning how to use the full two-dimensional and three-dimensional drafting capabilities of AutoCAD, Release 13. The activity-based, task-oriented tutorial is organized around a series of AutoCAD drawing exercises that reflect the new features and flavour of Release 13. Topics covered include: multiline text; dimensioning, increased use of dialogue boxes; multilines; object grouping; new solid modelling commands; and rendering. Electronic solutions manuals (on disk) are available separately.




Saga Of The Nerve Growth Factor, The: Preliminary Studies, Discovery, Further Development


Book Description

This volume is a collection of articles written by Nobel Laureate Rita Levi-Montalcini and published from 1942 to 1995. Studies described in the first part set the stage for the discovery of a protein molecule which became known as the Nerve Growth Factor (NGF), described in detail in the second part. The NGF synthesized in minute amounts in all vertebrate tissues, plays an essential role in the differentiation and survival of several nerve cell populations in the peripheral and central nervous system. The discovery of the NGF was defined by the Nobel Foundation as a milestone in developmental neurobiology, and the author was awarded in 1986 with this prestigious award. Studies pursued in subsequent years and still in progress, have unveiled other fundamental properties of the NGF, described in the third part of this volume.




Mass Spectrometry in Drug Discovery


Book Description

Mass Spectrometry in Drug Discovery summarizes the theory, instrumentation, techniques, and application of mass spectrometry and atmospheric pressure ionization to screening, evaluating, and improving the performance and quality of drug candidates. It provides time- and cost-efficient approaches for the generation and analysis of effective pharmaceuticals, covers advances in combinatorial chemistry, molecular biology, bioanalysis automation, and computing, and demonstrates the use of mass spectrometry in the assessment of disease states, drug targets, and potential drug agents.




Drug Discovery in Pancreatic Cancer


Book Description

Pancreatic cancer is the fourth leading cause of cancer death in the United States. Every year, about 33,700 people in the United States will be diagnosed with pancreatic cancer and over 32,000 patients will die from the disease. The median survival of patients with advanced pancreatic cancer is about 6-months. This dismal picture of pancreatic cancer is mainly due to the lack of early diagnosis and effective treatment for patients with advanced disease. To increase the survival rate of pancreatic cancer patients, better tumor markers for diagnosis and new molecular targets for drug development are desperately needed. A lot of effort has been made in searching for pancreatic cancer-causing genes or genes associated with progression of malignant behavior in pancreatic cancer. As a result, alterations in the expression of several cancer-related genes have been identified in pancreatic tumors. The identification and characterization of these cancer-related genes have significantly increased our understanding of pancreatic cancer development, but unfortunately the treatment of pancreatic cancer has not advanced as much in the past 20 years. Over the past decade, tremendous advances have been made in the field of cancer drug discovery, particularly, in the area of molecular and genetic models and technologies. Many of those advanced models and technologies have been applied to the drug discovery processes for pancreatic cancer. In this book, a team of experts will describe the latest development in the application of these models and technologies in pancreatic cancer. The authors include basic researchers as well as clinicians who work in the front-line of the war against pancreatic cancer and have the first-hand experience on these cutting-edge tools and techniques. The book can be divided into two general areas: 1) model systems and 2) genomics and proteomics tools. In recent years there have been a lot of advances in the model systems for pancreatic cancer, including the further characterization of normal and cancerous pancreatic cell lines, the establishment of transgenic mouse models that recapitulate the initiation and progression of human pancreatic cancer, the development of a new xenograft model system for the evaluation of novel agents, and the establishment of a zebrafish pancreatic cancer model. The first four chapters of the book will be devoted to these models. The advances in genomics and proteomics research have made a major impact in cancer drug discovery. A number of these –omics-based tools and techniques have been applied in the pancreatic cancer drug discovery. Chapters 5-9 of the book will discuss techniques for genome-wide examination of gene expression, copy number, methylation, function and regulation. Chapters 10-11 will discuss in situ techniques for studying chromosomal and gene copy number abnormalities as well protein expression changes in cancer samples. Chapters 12-14 will focus on techniques for global examination of protein expression levels in biospecimens obtained from pancreatic cancer patients. Cancer drug discovery has become more and more target-centric.




Fragment-Based Drug Discovery and X-Ray Crystallography


Book Description

Introduction to Fragment-Based Drug Discovery, by Daniel A. Erlanson Fragment Screening Using X-Ray Crystallography, by Thomas G. Davies and Ian J. Tickle Hsp90 Inhibitors and Drugs from Fragment and Virtual Screening, by Stephen Roughley, Lisa Wright, Paul Brough, Andrew Massey and Roderick E. Hubbard Combining NMR and X-ray Crystallography in Fragment-Based Drug Discovery: Discovery of Highly Potent and Selective BACE-1 Inhibitors, by Daniel F. Wyss, Yu-Sen Wang, Hugh L. Eaton, Corey Strickland, Johannes H. Voigt, Zhaoning Zhu and Andrew W. Stamford Combining Biophysical Screening and X-Ray Crystallography for Fragment-Based Drug Discovery, by Michael Hennig, Armin Ruf and Walter Huber Targeting Protein–Protein Interactions and Fragment-Based Drug Discovery, by Eugene Valkov, Tim Sharpe, May Marsh, Sandra Greive and Marko Hyvönen Fragment Screening and HIV Therapeutics, by Joseph D. Bauman, Disha Patel and Eddy Arnold Fragment-Based Approaches and Computer-Aided Drug Discovery, by Didier Rognan




Exploring AutoCAD Raster Design 2017


Book Description

Exploring AutoCAD Raster Design 2017 is a comprehensive book that has been written to cater to the needs of the students and the professionals who are involved in GIS profession. AutoCAD Raster Design has interoperability with major design and data conversion software packages. This feature allows the Raster Design users to access CAD and GIS data from various sources to perform raster to vector conversion. In AutoCAD Raster Design, you can connect a raster dataset at the software platform and georeference it with ease. In this book, complex vectorization processes have been illustrated through easy-to-understand flow diagrams. Also, various processes such as manipulating and managing old CAD data and displaying spatial data have been covered in this book. The book also introduces users to the concepts of industry model database for managing spatial data. The simple and lucid language used in this book makes it a ready reference for both the beginners and the intermediate users. Salient Features: Detailed explanation of AutoCAD Raster Design tools Real-world CAD and GIS projects given as tutorials Tips and Notes throughout the book 226 pages of heavily illustrated text Self-Evaluation Tests, Review Questions, and Exercises at the end of the chapters Table of Contents: Chapter 1: Introduction to AutoCAD Raster Design 2017 Chapter 2: Insert, View, and Rubbersheet Tools Chapter 3: Image Management Tools Chapter 4: Image Processing Chapter 5: Raster Entity Manipulation (REM) Tools Chapter 6: Vectorization Tools Chapter 7: Multispectral Images and Digital Elevation Models Index




Fragment-based Approaches in Drug Discovery


Book Description

This first systematic summary of the impact of fragment-based approaches on the drug development process provides essential information that was previously unavailable. Adopting a practice-oriented approach, this represents a book by professionals for professionals, tailor-made for drug developers in the pharma and biotech sector who need to keep up-to-date on the latest technologies and strategies in pharmaceutical ligand design. The book is clearly divided into three sections on ligand design, spectroscopic techniques, and screening and drug discovery, backed by numerous case studies.




Target Discovery and Validation Reviews and Protocols


Book Description

Target discovery is a field that has existed for several years but is so vibrant today because of the recent progress in our understanding of the molecular mechanisms of many human diseases and the technical advances in target identification and validation. More sophisticated gene profiling technologies, such as DNA microarrays and serial analysis of gene expression, permit rapid identification of lead targets. Moreover, analysis of gene networks in living organisms allows the identification of target genes that operate in defined physiological pathways. With the sequencing of several genomes completed and the rapidly growing gene expression databases, there is now greater impetus than ever before for in silico discovery of therapeutic targets. Also, recent advances in genetic technologies have increased our ability to generate mouse models for human diseases. The implications of these genetically modified animals in drug development are several, including identification of new drug targets, predicting efficacy, and uncovering possible side effects. Together, these recent technical advances should allow researchers to make the most informed choice early and advance the chosen targets toward clinical studies. Regarding cancers, any difference between a cancer and a normal cell could potentially be exploited as a therapeutic target. The hope is that drugs targeting specific constituents or pathways in cancer cells will provide more effective therapy, either alone or in combination with other currently used anticancer drugs. In addition to drug targets, identifying new target antigens remains as much of a challenge as improving tumor vaccines already in the clinic.