Application of reduced space modeling and sparse experimental restraints to structure determination of proteins and protein assemblies

The knowledge of protein structures is critical for understanding of molecular machinery, discovering metabolic pathways, rational drug design and many other aspects of life at the molecular level. The number of currently know protein sequences however greatly outnumber known protein structures. Moreover this gap is rapidly growing. Therefore in the past few decades a number of theoretical approaches have been proposed for computational prediction of protein structures.