title: Statistical dictionaries for hypothetical in silico model of the early-stage intermediate in protein folding.
abstract: The polypeptide chain folding process appears to be a multi-stage phenomenon. The scientific community has recently devoted much attention to early stages of this process, with numerous attempts at simulating them--either experimentally or in silico. This paper presents a comparative analysis of the predicted and observed results of folding simulations. The proposed technique, based on statistical dictionaries, yields a global accuracy of 57%--a marked improvement over older approaches (with an accuracy of approximately 46%).
authors: Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College, Lazarza 16, Krakow, Poland.
authors: Barbara
authors: B
authors: Kalinowska
authors: Piotr
authors: P
authors: Fabian
authors: Katarzyna
authors: K
authors: Stąpor
authors: Irena
authors: I
authors: Roterman
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry; D003198:Computer Simulation; D030562:Databases, Protein; D008958:Models, Molecular; D015233:Models, Statistical; D011487:Protein Conformation; D017510:Protein Folding
chemical_list: D000596:Amino Acids