Applying of the Monte Carlo method for the prediction of behavior of peptides.

Prediction of physicochemical and biochemical behavior of peptides is important and attractive task of the modern natural sciences, since these substances have key role in life processes. The Monte Carlo technique is possible way to solve the above task. The Monte Carlo method is a tool with different applications relatively of study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishing of quantitative structure - property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to applying of the Monte Carlo technique to study of peptides and biopolymers are collected in this review.