دانلود کتاب Chemoinformatics for Drug Discovery

Chemoinformatics strategies to improve drug discovery resultsWith contributions from leading researchers in academia and the pharmaceutical industry as well as experts from the software industry, this book explains how chemoinformatics enhances drug discovery and pharmaceutical research efforts, describing what works and what doesn't. Strong emphasis is put on tested and proven practical applications, with plenty of case studies detailing the development and implementation of chemoinformatics methods to support successful drug discovery efforts. Many of these case studies depict groundbreaking collaborations between academia and the pharmaceutical industry. Chemoinformatics for Drug Discovery is logically organized, offering readers a solid base in methods and models and advancing to drug discovery applications and the design of chemoinformatics infrastructures. The book features 15 chapters, including: What are our models really telling us? A practical tutorial on avoiding common mistakes when building predictive modelsExploration of structure-activity relationships and transfer of key elements in lead optimizationCollaborations between academia and pharmaApplications of chemoinformatics in pharmaceutical research—experiences at large international pharmaceutical companiesLessons learned from 30 years of developing successful integrated chemoinformatic systemsThroughout the book, the authors present chemoinformatics strategies and methods that have been proven to work in pharmaceutical research, offering insights culled from their own investigations. Each chapter is extensively referenced with citations to original research reports and reviews. Integrating chemistry, computer science, and drug discovery, Chemoinformatics for Drug Discovery encapsulates the field as it stands today and opens the door to further advances.Content: Chapter 1 WHAT ARE OUR MODELS REALLY TELLING US? A PRACTICAL TUTORIAL ON AVOIDING COMMON MISTAKES WHEN BUILDING PREDICTIVE MODELS (pages 1–31): W. Patrick WaltersChapter 2 THE CHALLENGE OF CREATIVITY IN DRUG DESIGN (pages 33–50): Ajay N. JainChapter 3 A ROUGH SET THEORY APPROACH TO THE ANALYSIS OF GENE EXPRESSION PROFILES (pages 51–83): Joachim Petit, Nathalie Meurice, José Luis Medina‐Franco and Gerald M. MaggioraChapter 4 BIMODAL PARTIAL LEAST‐SQUARES APPROACH AND ITS APPLICATION TO CHEMOGENOMICS STUDIES FOR MOLECULAR DESIGN (pages 85–95): Kiyoshi Hasegawa and Kimito FunatsuChapter 5 STABILITY IN MOLECULAR FINGERPRINT COMPARISON (pages 97–112): Anthony Nicholls and Brian KelleyChapter 6 CRITICAL ASSESSMENT OF VIRTUAL SCREENING FOR HIT IDENTIFICATION (pages 113–130): Dagmar Stumpfe and Jürgen BajorathChapter 7 CHEMOMETRIC APPLICATIONS OF NAÏVE BAYESIAN MODELS IN DRUG DISCOVERY (pages 131–148): Eugen Lounkine, Peter S. Kutchukian and Meir GlickChapter 8 CHEMOINFORMATICS IN LEAD OPTIMIZATION (pages 149–178): Darren V. S. Green and Matthew SegallChapter 9 USING CHEMOINFORMATICS TOOLS TO ANALYZE CHEMICAL ARRAYS IN LEAD OPTIMIZATION (pages 179–204): George Papadatos, Valerie J. Gillet, Christopher N. Luscombe, Iain M. McLay, Stephen D. Pickett and Peter WillettChapter 10 EXPLORATION OF STRUCTURE–ACTIVITY RELATIONSHIPS (SARs) AND TRANSFER OF KEY ELEMENTS IN LEAD OPTIMIZATION (pages 205–243): Hans Matter, Stefan Güssregen, Friedemann Schmidt, Gerhard Hessler, Thorsten Naumann and Karl‐Heinz BaringhausChapter 11 DEVELOPMENT AND APPLICATIONS OF GLOBAL ADMET MODELS (pages 245–265): Karl‐Heinz Baringhaus, Gerhard Hessler, Hans Matter and Friedemann SchmidtChapter 12 CHEMOINFORMATICS AND BEYOND (pages 267–290): Catrin Hasselgren, Daniel Muthas, Ernst Ahlberg, Samuel Andersson, Lars Carlsson, Tobias Noeske, Jonna Stålring and Scott BoyerChapter 13 APPLICATIONS OF CHEMINFORMATICS IN PHARMACEUTICAL RESEARCH (pages 291–320): Bernd Beck, Michael Bieler, Peter Haebel, Andreas Teckentrup, Alexander Weber and Nils WeskampChapter 14 LESSONS LEARNED FROM 30 YEARS OF DEVELOPING SUCCESSFUL INTEGRATED CHEMINFORMATIC SYSTEMS (pages 321–341): Michael S. Lajiness and Thomas R. HagadoneChapter 15 MOLECULAR SIMILARITY ANALYSIS (pages 343–399): José L. Medina‐Franco and Gerald M. Maggiora