A new method to improve network topological similarity search: applied to fold recognition.

ABSTRACT:

Motivation

Similarity search is the foundation of bioinformatics. It plays a key role in establishing structural, functional and evolutionary relationships between biological sequences. Although the power of the similarity search has increased steadily in recent years, a high percentage of sequences remain uncharacterized in the protein universe. Thus, new similarity search strategies are needed to efficiently and reliably infer the structure and function of new sequences. The existing paradigm for studying protein sequence, structure, function and evolution has been established based on the assumption that the protein universe is discrete and hierarchical. Cumulative evidence suggests that the protein universe is continuous. As a result, conventional sequence homology search metho

SUBMITTER: Lhota J 

PROVIDER: S-EPMC4481851 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature