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

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.

Electrochemical DNA biosensors in the detection of pathogen:research advances / 军事医学

Rapid detection of pathogenic microorganisms is important to the prevention and control of diseases.Com-pared with traditional approaches, electrochemical DNA biosensors present great advantages in promising rapid, portable, sensitive and cost-saving detection of pathogens.In this review, the working principle of electrochemical DNA biosensors and the progress in detection of pathogens is introduced, the latest developments of DNA tetrahedron structure and new nano materials in electrochemical DNA biosensors are reviewed, and the challenges to and prospects of development in this field are also discussed.

Protein Folding Study Based on The HNP Model and The Relative Entropy Approach / 生物化学与生物物理进展

Twenty kinds of amino acids are simplified into 3 types: hydrophobic amino acids (H), hydrophilic amino acids (P) and neutral amino acids (N). Each residue is reduced to a bead which locates in the position of the C?琢 atom. The off-lattice model is adopted and the relative entropy is used as a minimization function to predict the tertiary structure of a protein. A new contact intensity function is given to consist with protein design research based on the relative entropy. Testing on several real proteins from Protein Data Bank (PDB) shows the good results obtained with the model and method. The root mean square deviations (RMSD) of the predicted structures relative to the native structures range from 0.30 to 0.70 nm. A foundation for studying protein design using the HNP model and the relative entropy was made.