The information contained in a protein's amino acid sequence dictates its three-dimensional structure. To quantitate the transfer of information that occurs in the protein folding process, the Kolmogorov information entropy or algorithmic complexity of the protein structure is investigated. The algorithmic complexity of an object provides a means of quantitating its information content. Recent results have indicated that the algorithmic complexity of microstates of certain statistical mechanical systems can be estimated from the thermodynamic entropy. In the present work, it is shown that the algorithmic complexity of a protein is given by its configurational entropy. Using this result, a quantitative estimate of the information content of a protein's structure is made and is compared to the information content of the sequence. Additionally, the mutual information between sequence and structure is determined. It is seen that virtually all the information contained in the protein structure is shared with the sequence.
机构:
Univ Paris 01, Sorbonne Grad Business Sch IAE, Paris, FranceUniv Paris 01, Sorbonne Grad Business Sch IAE, Paris, France
Brandouy, Olivier
Delahaye, Jean-Paul
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lille 1, Lab Informat Fondamentale Lille, Villeneuve Dascq, FranceUniv Paris 01, Sorbonne Grad Business Sch IAE, Paris, France
Delahaye, Jean-Paul
Ma, Lin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lille 1, Ecol Univ Management, Villeneuve Dascq, FranceUniv Paris 01, Sorbonne Grad Business Sch IAE, Paris, France
Ma, Lin
Zenil, Hector
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paris 1 Pantheon Sorbonne, IHPST, Paris, France
Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, EnglandUniv Paris 01, Sorbonne Grad Business Sch IAE, Paris, France