ABSTRACT:
The project entitled APPLIED STATISTICS (TIME SERIES, PRINCIPAL COMPONENT ANALYSIS) - COLLAGEN - STRUCTURE PROPERTIES CHARACTERIZATION propose the integration of knowledge results from the periodicity/cyclical analysis of amino-acids from the protein chains of collagen type I and respectively of knowledge results from principal component analysis into mathematical models. The mathematical models are developed based on the results obtained through principal component analysis and time series analysis applied on collagen type I. The properties of amino-acids from the composition of collagen type I will be study by the use of Molecular Descriptors Family approach, an original methodology which proved its abilities in estimation and prediction of properties and activities of biological active compounds. Web implementation integrates the results obtained from the study of amino-acids and collagen type I through models. Translation into online applications and online publication of research results includes: knowledge databases of amino-acids and collagen type I, mathematical models obtained through analysis of periodicity/cyclical arrangements of amino-acids into the structure of collagen type I and principal component analysis applied on collagen type one, molecular descriptors, and models able to characterize the relationships between structure and properties.
