- Abstract. Protein interactions are the basic building blocks for assembly of pathways and networks. Almost any biologically meaningful functionality (for instance.
- Protein-protein interaction task. The PPI task comprised four sub-tasks, each of which was concerned with a particular aspect of the interaction annotation.
- Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis Philipp Blohm1,2, Goar Frishman1.
Extraction of protein- protein interactions by searching large scale text- -《Journal of Computer Applications》2. S1期FENG Er- ying,NIU Yun,WEI Ou(School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 2. China) Current approaches for Protein- Protein Interaction(PPI) identification are based on information in a single sentence.
This subsection of the ‘Interaction’ section provides information about binary protein-protein interactions. The data presented in this section are a quality.
To address this problem,a method of automatic identification of protein- protein interactions by searching large scale text was proposed. The signature of a protein pair is obtained first by searching large scale biomedical text. Then,the features were extracted from the signature and the vector space model of the protein pair was built up.
Finally,support vector machine was applied to identify PPIs. Four techniques of term weighting and feature selection were compared in the experiment. Results show that this approach achieves precision of 9. In addition,this approach makes use of known PPIs and releases the burden of manual annotation. Chinese Journal Full- text Database. Hits. 1. WANG Hai- dong.
TAN Wei- xuan. 1,2,LI Yan- cui. ZHOU Guo- dong. 1,2(1. School of Computer Science & Technology,Soochow University,Suzhou 2. Jiangsu Province Key Lab for Computer Information Processing Technology,Suzhou 2.
Tree Kernel Function- based Pronoun Coreference Resolution[J]; Computer Engineering; 2.