Identify

Ethan is an anxiety-ridden loner who relies on medication to get through his day. During one of his fairly frequent panic attacks, a girl from school named Gabriella comes to his rescue. Gabe, as she prefers to be known, is facing her own inner turmoil. She has always been a tomboy, but the more pressure she faces to act and dress "like a girl," the more she wonders just who she really is. When he learns that Gabe is being constantly harassed at school, Ethan discovers he is able to overcome his own fears in order to stand up for his new friend. Then Gabe finds a disturbing note in her locker, and the threats begin to escalate. Ethan confronts the person responsible, but things take an unexpected turn, and he suddenly finds himself being questioned by police, accused of assault. With a dose of courage and a surprising ally, the two friends come up with a plan to set things right and end up discovering who they really are along the way.

Looks at the modern tools of computers, printers, and scanners to create questioned documents and counterfeits and provides an overview of the start of fakes and forgeries from ancient times to the present.

"An illustrated guide to holding, caring for and identifying caterpillars."--Provided by publisher.

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools, public and commercial databases, mathematical methods, and software for interpreting complex experimental data. The book describes how these tools are used to visualize a target structure, identify binding sites, and predict behavior. World-renowned researchers cover many topics not typically found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics. Covering issues that range from prescreening target selection to genetic modeling and valuable data integration, In Silico Technologies in Drug Target Identification and Validation is a self-contained and practical guide to the various computational tools that can accelerate the identification and validation stages of drug target discovery and determine the biological functionality of potential targets more effectively. Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.