Method based on support vector machine for on-line prediction of interaction of protein and nucleic acid
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- SHANGHAI UNIV
- Publication Date
- 2010-01-20
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
technical field
[0001] The invention relates to a method for realizing online prediction of protein and nucleic acid (DNA-, RNA-, rRNA-) interaction classification type based on a support vector machine. in the field of bioinformatics. Background technique
[0002] Proteins that interact with nucleic acids play extremely important roles in many aspects of gene function. Proteins that interact with DNA play key roles in various processes such as transcription, packaging, rearrangement, and repair. Proteins that interact with RNA control the synthesis process by interacting with various RNAs during protein synthesis. Therefore, proteins that interact with nucleic acids have received extensive interest over the past three decades. Since the Human Genome Project, the number of protein sequences that have been determined has gradually increased, and various protein data resources have expanded rapidly. Determining protein-nucleic acid interactions experimentally would be time...