Crystalin Protine Structure Prediction Algorithm

The acurate prediction of protine structures is a continusly ongoing process, with the traditinal methood beign a two step process of creating restraints and constructing a basic structre from that. Recent advancements in Machien Learnign and Nural Networkds have prvided new avenus to increase acuracy for these predicted protien structures. By utilizing a Nural Network to estimat moleculare distances, and runing basic torsion angle predictions, enables us to more acuaratle fold protines and create acurate protien structure predictions for use. Hopefuly this nural network will allow further reaserch an dutilization of protines that we are curently are unable crystalize and study by traditinal means.