▁prediction ▁in ▁its ▁submitted ▁model ▁for ▁C AS P ▁target ▁T 0 2 8 1 . ▁ ▁Ab ▁init io ▁model ing ▁is ▁considered ▁an ▁especially ▁difficult ▁category ▁of ▁protein ▁structure ▁prediction , ▁as ▁it ▁does ▁not ▁use ▁information ▁from ▁struct ural ▁hom ology ▁and ▁must ▁rely ▁on ▁information ▁from ▁sequence ▁hom ology ▁and ▁model ing ▁physical ▁interactions ▁within ▁the ▁protein . ▁Ros etta @ home ▁has ▁been ▁used ▁in ▁C AS P ▁since ▁ 2 0 0 6 , ▁where ▁it ▁was ▁among ▁the ▁top ▁predict ors ▁in ▁every ▁category ▁of ▁structure ▁prediction ▁in ▁C AS P 7 . ▁These ▁high ▁quality ▁predictions ▁were ▁enabled ▁by ▁the ▁computing ▁power ▁made ▁available ▁by ▁Ros etta @ home ▁volunte ers . ▁In cre asing ▁computing ▁power ▁allows ▁Ros etta @ home ▁to ▁sample ▁more ▁regions ▁of ▁con formation ▁space ▁( the ▁possible ▁shapes ▁a ▁protein ▁can ▁assume ), ▁which , ▁according ▁to ▁Le vin th al ' s ▁par ado x , ▁is ▁predicted ▁to ▁increase ▁expon entially ▁with ▁protein ▁length . ▁ ▁Ros etta @ home ▁is ▁also ▁used ▁in ▁protein – prote in ▁dock ing ▁prediction , ▁which ▁determ ines ▁the ▁structure ▁of ▁multiple ▁complex ed ▁prote ins , ▁or ▁qu atern ary ▁structure . ▁ ▁This ▁type ▁of ▁protein ▁interaction ▁affect s ▁many ▁cell ular ▁functions , ▁including ▁ant igen – ant ib ody ▁and ▁en zym e – in hib itor ▁binding ▁and ▁cell ular ▁import ▁and ▁export . ▁ ▁Det erm ining ▁these ▁interactions ▁is ▁critical ▁for ▁drug ▁design