Roseanna Valant, Bogdan Grigorescu, Sara Benerofe, George Lazarou
Improved Understanding of Female Pelvic Medicine and Reconstructive Surgery Concepts Through Targeted Case-Based Educational Intervention: A Pilot Study
Female pelvic medicine & reconstructive surgery
recent breakthroughs highly accurate protein structure prediction using deep neural networks made considerable progress solving structure prediction component protein folding problem however predicting detailed mechanisms proteins fold specific native structures remains challenging especially multidomain proteins constituting proteomes develop simple structurebased statistical mechanical model introduces nonlocal interactions driving folding multidomain proteins model successfully predicts protein folding processes consistent experiments without limitations protein size shape furthermore slight modifications model allow prediction disulfideoxidative disulfideintact protein folding predictions depict details folding processes beyond reproducing experimental results provide rationale folding mechanisms thus physicsbased models enable accurate prediction protein folding mechanisms low computational complexity paving way solving folding process component protein folding problem