Обсуждение участника:Andrey Ryazanov

Материал из MachineLearning.

(Различия между версиями)
Перейти к: навигация, поиск
м (Adding welcome message to new user's talk page)
Текущая версия (06:33, 1 сентября 2016) (править) (отменить)
 
Строка 1: Строка 1:
-
{{MediaWiki:NewUserMessage|Andrey Ryazanov}}
+
== Научно-исследовательская работа ==
 +
 
 +
=== Весна 2016, 16-й семестр ===
 +
'''Inverse Protein Folding Problem via Quadratic Prgramming''', Рязанов А. В., Карасиков М. Е., Грудинин С. В.
 +
This paper presents a method of reconstruction a primary structure of a protein that folds into a given geometrical shape. This method predicts the primary structure of a protein and restores its linear sequence of amino acids in the polypeptide chain using the tertiary structure of a molecule. Unknown amino acids are determined according to the principle of energy minimization. This study represents inverse folding problem as a quadratic optimization problem and uses different relaxation techniques to reduce it to the problem of convex optimizations. Computational experiment compares the quality of these approaches on real protein structures.

Текущая версия

Научно-исследовательская работа

Весна 2016, 16-й семестр

Inverse Protein Folding Problem via Quadratic Prgramming, Рязанов А. В., Карасиков М. Е., Грудинин С. В. This paper presents a method of reconstruction a primary structure of a protein that folds into a given geometrical shape. This method predicts the primary structure of a protein and restores its linear sequence of amino acids in the polypeptide chain using the tertiary structure of a molecule. Unknown amino acids are determined according to the principle of energy minimization. This study represents inverse folding problem as a quadratic optimization problem and uses different relaxation techniques to reduce it to the problem of convex optimizations. Computational experiment compares the quality of these approaches on real protein structures.

Личные инструменты