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Designed for students in biology, biochemistry, and biomedicine, Introduction to Protein Science, Second Edition, provides a wide-ranging introduction to the contemporary study of proteins in health and disease. The text describes basic principles of protein structure and methods for studying them, illustrates the wide variety of functions that proteins have, and shows how their structures and functions are closely linked.
Introduction to Protein Science, Second Edition, relates the study of proteins to the context of modern high-throughput data streams of genomics and proteomics. It also provides a balanced treatment of the relationship between computational and experimental methods. The text is enhanced by marginal notes, exercises, problems, and "weblems" that develop students' database and computational server skills. An updated and expanded Companion Website offers resources for students and instructors.
- Sales Rank: #556360 in Books
- Published on: 2010-05-20
- Original language: English
- Number of items: 1
- Dimensions: 7.70" h x .80" w x 10.40" l, 2.51 pounds
- Binding: Paperback
- 455 pages
Review
Review from previous edition: "This is a lively and engaging text which provides an up-to-date introductory view of protein science with plenty of interesting examples. The text is well explained and organized into short sections which provide students with brief introductions to a wide range
of topics. I would recommend this book to my students to read in parallel to our courses to build a broad understanding of protein science, and also to anyone who is interested in learning about this area of science"
--Dr Gail Hutchinson, School of Biological Sciences, University of Reading
"This text is a great resource for teaching an interdisciplinary course. It can be easily supplemented to engage students from life and physical sciences as well as engineering."
--Dr Melisenda Jean McDonald, Chemistry Department, University of Massachusetts Lowell
About the Author
Arthur M. Lesk is Professor of Biochemistry and Molecular Biology at The Pennsylvania State University. He is the author of the highly successful Introduction to Bioinformatics, and Introduction to Genomics, both published by Oxford University Press.
Most helpful customer reviews
10 of 10 people found the following review helpful.
Undergrad Intro of Proteins
By D. N. Pham
My class used this text in Spring 2006, and it was an excellent text for an introductory level Protein Structure and Function course. In Fall 2008, I took a graduate level course on the same subject, and this text was much better than the texts suggested by the professor. When paired with Petsko and Ringe's Protein Structure and Function book, it's an excellent reference for starting graduate students in the field.
(I had to buy another one because someone stole it! This has to say what a great reference/text it is for its ease of explaining complexity)
2 of 2 people found the following review helpful.
Excellent Book
By Amazon Customer
Having read Lesk's book on Bioinformatics and finding it to be one of the better ones out there, I purchased this book because I wanted to understand more about proteins from the biological/chemical perspective. (I'm a Computer Scientist who has been working in the field of bioinformatics.) I found this book easy for me to read and understand, though I would caution that Computer Scientists with absolutely no Biology/Chemistry background may struggle with some of the material. But this book is better than 95% of the other books out there. I liked the way that the book takes the time to explain almost all the key terms that Biologists and Chemists tend to throw out there when they are describing macromolecules and the problem that they are interested in solving. The book has succeeded in giving me a better understanding of proteins!
0 of 0 people found the following review helpful.
Excellent introduction to protein structure, function and evolution
By Alexey Finkelstein
This is an excellent introduction to protein structure, function and evolution, which presents, I would say, a modern computer scientist’s vision of molecular and especially structural biology.
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