Chemoinformatics for Drug Discovery

Chemoinformatics for Drug Discovery

By: Jurgen Bajorath (author)Hardback

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The first guide to address the strengths, weaknesses, case studies, and applications of cheminformatics approaches to drug discovery, Chemoinformatics addresses how these in silico techniques are applied in both academic and industrial research environments. Discussing approaches that have been successful as well as those that have not, the text outlines cheminformatics infrastructure tools and their implementation and describes the impact of different approaches on experimental or pharmaceutical research. A valuable resource for computational, medicinal/pharmaceutical scientists, chemical biologists, and computational biologists, the text includes case studies and applications by experimental and industrial researchers.

About Author

JURGEN BAJORATH, PhD, is Chair of Life Science Informatics at the University of Bonn and also an Affiliate Professor in the Department of Biological Structure at the University of Washington. In addition, he has more than 10 years' experience in drug disovery. His research focuses on the development of computational methods for medicinal chemistry and chemical biology. Dr. Bajorath holds 26 patents, has authored more than 400 scientific articles, and edited four books.


Preface vii Contributors xiii 1 What Are Our Models Really Telling Us? A Practical Tutorial on Avoiding Common Mistakes when Building Predictive Models 1 W. Patrick Walters 2 The Challenge of Creativity in Drug Design 33 Ajay N. Jain 3 A Rough Set Theory Approach to the Analysis of Gene Expression Profiles 51 Joachim Petit, Nathalie Meurice, Jose Luis Medina-Franco, and Gerald M. Maggiora 4 Bimodal Partial Least-Squares Approach and Its Application to Chemogenomics Studies for Molecular Design 85 Kiyoshi Hasegawa and Kimito Funatsu 5 Stability in Molecular Fingerprint Comparison 97 Anthony Nicholls and Brian Kelley 6 C ritical Assessment of Virtual Screening for Hit Identification 113 Dagmar Stumpfe and Jurgen Bajorath 7 Chemometric Applications of Naive Bayesian Models in Drug Discovery: Beyond Compound Ranking 131 Eugen Lounkine, Peter S. Kutchukian, and Meir Glick 8 Chemoinformatics in Lead Optimization 149 Darren V. S. Green and Matthew Segall 9 Using Chemoinformatics Tools to Analyze Chemical Arrays in Lead Optimization 179 George Papadatos, Valerie J. Gillet, Christopher N. Luscombe, Iain M. McLay, Stephen D. Pickett, and Peter Willett 10 Exploration of Structure Activity Relationships (SAR s) and Transfer of Key Elements in Lead Optimization 205 Hans Matter, Stefan Gussregen, Friedemann Schmidt, Gerhard Hessler, Thorsten Naumann, and Karl-Heinz Baringhaus 11 Development and Applications of Global ADMET Models: In Silico Prediction of Human Microsomal Lability 245 Karl-Heinz Baringhaus, Gerhard Hessler, Hans Matter, and Friedemann Schmidt 12 Chemoinformatics and Beyond: Moving from Simple Models to Complex Relationships in Pharmaceutical Computational Toxicology 267 Catrin Hasselgren, Daniel Muthas, Ernst Ahlberg, Samuel Andersson, Lars Carlsson, Tobias Noeske, Jonna Stalring, and Scott Boyer 13 Applications of Cheminformatics in Pharmaceutical Research: Experiences at Boehringer Ingelheim in Germany 291 Bernd Beck, Michael Bieler, Peter Haebel, Andreas Teckentrup, Alexander Weber, and Nils Weskamp 14 Lessons Learned from 30 Years of Developing Successful Integrated Cheminformatic Systems 321 Michael S. Lajiness and Thomas R. Hagadone 15 Molecular Similarity Analysis 343 Jose L. Medina-Franco and Gerald M. Maggiora Index 401

Product Details

  • ISBN13: 9781118139103
  • Format: Hardback
  • Number Of Pages: 432
  • ID: 9781118139103
  • weight: 844
  • ISBN10: 1118139100

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