Protein structural domain division method based on contact graph and fuzzy C-means clustering

Abstract

A protein structural domain division method based on a contact graph and fuzzy C-means clustering comprises the following steps: firstly, predicting contact diagram information of protein by using a RaptorX-Contact server according to input protein sequence information to be subjected to structural domain division; then carrying out weighting processing on the contact image information; secondly,using a fuzzy C-means clustering algorithm to cluster the contact image information; thirdly, dividing a protein structural domain according to the clustering information; and finally, predicting thethree-dimensional structure of each structural domain by using an I-TASSER server. The protein structural domain division method based on contact graph and fuzzy C-means clustering provided by the invention is low in calculation cost and high in division precision.

Description

technical field [0001] The invention relates to the fields of bioinformatics, pattern recognition and computer application, in particular to a protein structure domain division method based on contact graph and fuzzy C-means clustering. Background technique [0002] In life activities, proteins often exist in the form of multiple domains in order to complete complex biological functions. Each protein domain can perform a specific biological function independently of the rest of the protein. During the evolution of protein molecules, protein domains can recombine in different arrangements, resulting in proteins with different functions. Therefore, the precise division of protein domains is helpful for the study of protein functions and the design of drug target proteins, which has very important guiding significance. [0003] At present, the methods specially used for protein domain division are: FIEFDom (Bondugula R, et al. FIEFDom: a transparent domain boundary recognitio...

AI Technical Summary

Problems solved by technology

Since ThreaDomEx needs to search the existing database, it cannot guarantee that the template structure searched every time is excellent, and it takes a lot of time to search the database, so the domain division information obtained by it cannot be guaranteed to be optimal and the division efficiency is yet to be determined. further improvement

[0004] In summary, the existing protein domain division methods are still far from the requirements of practical applications in terms of calculation cost and division accuracy, and urgently need to be improved.

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