Prediction study on signal transduction pathways of integrin adhesome / 医用生物力学

ABSTRACT

Objective To predict signal transduction pathways of the integrin adhesome via bioinformatics method, so as to provide references for experimental study on the mechanism of integrin-related signal transduction pathways. Methods First, the interaction network between the interactive integrin adhesome was constructed, and the confidence probability of each interaction was used as its link weight, respectively. Secondly, the pathways of the minimum weight were identified via a standard dynamic programming algorithm. Finally, all pathways calculated by the algorithm were aggregated into some probable networks. Results Seven signal transduction pathways were obtained from the integrin adhesome interaction network that contained 147 components with 736 interactions. In every predicted signal transduction pathway, the coverage rate of the proteins with Gene Ontology annotation was calculated. Conclusions By research on signal transduction pathways the pathogenesis of some diseases can be explored at the molecular level. Several possible signal transduction pathways obtained in this study have some reference value for exploring disease mechanism in basic medical sciences, and also provide some useful information for such exploration under the stimulation of external signals including mechanical or chemical signals.