PMC:4331676 / 3571-4560 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4331676","sourcedb":"PMC","sourceid":"4331676","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4331676","text":"At present, several experimental techniques have been employed for identifying DNA-binding proteins, such as filter binding assays, genetic analysis, chromatin immunoprecipitation on microarrays, and X-ray crystallography. But experimental approaches for identifying the DNA-binding proteins are costly and time consuming. It would be highly desirable to develop computational approaches that can automatically determine whether a novel sequence binds to DNA or not. Therefore, a reliable identification of DNA-binding proteins with effective computational approach is an import research topic in the proteomics fields. It has been observed that many attempts have been made for identifying DNA-binding proteins and many effective computational predicting methods have been proposed for analyzing it in the literature. The computational methods represent a broad category of predicting methods for DNA-binding proteins, known to be highly diverse in classifiers and protein representation.","tracks":[]}