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Can I read Protein Structure Prediction (Methods in Molecular Biology (413)) on EtoBox?
Protein Structure Prediction (Methods in Molecular Biology (413)) by Jun-tao Guo, Kyle Ellrott, Ying Xu (auth.), Mohammed J. Zaki, Christopher Bystroff (eds.) is a nonfiction available to read on EtoBox.
What is Protein Structure Prediction (Methods in Molecular Biology (413)) about?
For forty years we have known the essential ingredients for protein folding – an amino acid sequence, and water. But the problem of predicting the three-dimensional structure from its sequence has eluded computational biologists even in the age of supercomputers and high throughput structural genomics. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. __Protein Structure Prediction__ focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well-known practitioners. Leaders in the field provide insights into template-based methods of prediction, structure alignment and indexing, protein features prediction, and methods for __de novo__ structure prediction. __Protein Structure Prediction__ is a cutting-edge text that all researchers in the field should have in their libraries.
Who reads Protein Structure Prediction (Methods in Molecular Biology (413))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jun-tao Guo, Kyle Ellrott, Ying Xu (auth.), Mohammed J. Zaki, Christopher Bystroff (eds.)
- Publisher
- Humana Press
- Published
- 2008
- Language
- EN
- ISBN
- 9782007933147
- Category
- nonfiction
- Subjects
- Medical, Science, Chemistry
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