CD9 is a gene encoding a protein that is a member of the transmembrane 4 superfamily. It is a cell surface glycoprotein composed of four transmembrane domains and has two extracellular loops containing disulfide bonds that are conserved across the entire family of tetraspanins. CD9 has multiple roles in cellular processes as it has also been shown to trigger platelet activation and aggregation. CD9 also regulates cell adhesion and migration. This function makes CD9 interesting when studying cancer and cancer metastasis. However, it appears that CD9 has different roles in different types of cancer. Studies have shown that CD9 expression levels negatively correlate with metastatic potential or patient survival. Overexpression of CD9 reduces metastasis in certain types of melanoma, breast, lung, pancreatic and colon cancers. CD ComputaBio now offers professional CD9 targeting services to meet your research needs.
Residue interaction networks (RINs) are widely used to analyze the topology and dynamics of complex systems. RIN represents a three-dimensional protein structure as a set of nodes (residues) and their connections (edges). In biology, this method is widely used to analyze gene regulatory networks, protein-protein interactions, metabolite flow, predict drug side effects, etc. We can use RIN analysis to provide complex analyses of proteins and their complexes, as well as estimates of their interdependencies and to predict distinct properties and functions of individual residues and whole proteins. We can analyze the chemical and physical properties of bases and the energies of their interactions by constructing RINs.
Significance analysis of microarrays (SAM) is a nonparametric, array-based method designed specifically for the analysis of microarray data. It calculates the empirical false discovery rate (FDR) by random permutation of class labels. CD ComputaBio assigns a score to each gene based on the change in gene expression relative to the standard deviation of repeated measures for that gene. Genes with scores above a threshold were considered potentially important. CD ComputaBio can adjust thresholds to identify smaller or larger genomes and calculate the FDR for each group. Since the data may not follow a normal distribution, CD ComputaBio used nonparametric statistics in this analysis.
A gene network is a collection of genes that cooperate with each other to control vital life processes in an organism. CD ComputaBio conducts experimental verification based on the genes concerned by customers, searches other related species databases, literature mining and other information to build a gene interaction network to find key genes.
CD ComputaBio provides specialized CD9 target services. We will complete your project on time and efficiently. We have professional after-sales service: to provide customers with efficient and feasible solutions. We work with scientists from many pharmaceutical and biotech companies. We have extensive knowledge and experience to provide quality assurance services.
Molecular dynamics (MD) simulation is a set of molecular simulation methods and is a powerful tool for studying condensed matter systems. First, a model system is chosen to repair the missing fragments and determine the protonation state. Then, the energy of the system is minimized and equilibrium is reached by solving the Newtonian equations of motion until the properties of the system no longer change with time. After equilibrium, a production run is performed for an appropriate time period to output the trajectory, which is then analyzed to obtain the features of interest.
For complex systems that are difficult to achieve with conventional all-atom simulations, we reduce the degrees of freedom of the simulated system by simplifying the details of the all-atom simulations, i.e., using coarse-grained dynamics simulations for system analysis.
CD ComputaBio can provide you with umbrella sampling simulation technology. Umbrella sampling is a very popular technique for calculating mean force (PMF) to study protein binding-unbinding processes. After that, the binding free energy can also be extracted from the obtained PMF.