A secondary protein structure prediction method

Abstract

This invention relates to a data mode-establishing method based on the constituted protein three-kyrine structure microenvironment or folding tendency factors and its protein two-degree structure prediction method based on this database. We designs and codes a computer application program on this base. This invention can be used in the design of the whole new protein or its break molecule and is helpful to the whole new biological design.

Description

1. Technical field [0001] The invention belongs to the field of protein secondary structure prediction methods, in particular to a modeling method based on an amino acid conformation (or folding) tendency factor database in a tripeptide structure microenvironment and a protein secondary structure prediction method based on the database. 2. Background technology [0002] Protein structure prediction is an important task in the post-genome era, and protein secondary structure prediction is a key step in protein structure and function prediction. Although in the early 1950s, Anfinsen put forward the hypothesis that the specific spatial structure of a protein is determined by the sequence of its amino acids, that is, the primary structure of a protein determines its spatial structure, and won the Nobel Prize for this. However, when people try to directly predict the spatial structure of a protein from its primary sequence, it still encounters various difficulties, and the predic...

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Problems solved by technology

However, the prediction accuracy is generally low, roughly between 50% and 59%.

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