Abstract
Structural biology has largely concentrated on producing static models, which may not be sufficient to explain many important biological phenomena. This article describes how dynamic models of carbohydrates can be constructed and investigated with a combined theoretical (prediction making) and experimental (prediction testing) approach, using computer modeling and nuclear magnetic resonance (NMR). © 2006 American Chemical Society.
Original language | English |
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Pages (from-to) | 156-169 |
Number of pages | 13 |
Journal | ACS Symposium Series |
Volume | 930 |
DOIs | |
Publication status | Published - 2006 |