HER2 has a similar structure to the human epidermal growth factor receptor or HER1. HER2 is so named because it is derived from a rodent glioblastoma cell line, a neuroectodermal tumor. The oncogene was later found to encode for EGFR. Molecular cloning of this gene revealed that HER2, Neu and ErbB-2 are all encoded by the same immediate family. Overexpression of the HER2 gene is associated with the development of many cancers, occurring in approximately 15-30% of breast cancers. It is strongly associated with increased disease recurrence and poor prognosis; ovarian, gastric, lung and invasive uterine cancers, are also overexpressed, e.g. HER2 is overexpressed in approximately 7-34% of gastric cancer patients and 30% of salivary duct cancers. Thus, inhibitor studies targeting HER2 in these cancers could positively alter the natural history of prognosis. Now, CD ComputaBio offers professional HER2 targeting services to meet your research needs.
A variety of computer models and massive pharmacology databases were used to accurately predict these properties, using project data or published data to construct QSAR and other models and predict the ADMET properties of new compounds, thus helping researchers eliminate molecules with poor ADMET properties and significantly reducing R&D costs.
High-throughput screening technology is an important research topic in the field of drug screening. Our screening service can provide customers with a variety of drug screening services. We have established relatively mature screening models in multiple disease research fields, including new high-throughput preliminary screening models and in-depth screening at various levels.
Target-specific properties analysis provide insight into the physical and chemical properties of different amino acids, even though the properties of protein molecules are far more complex than the sum of the properties of the different constituent amino acids. The achievable three-dimensional structures of these linked building blocks can then be determined and the biological properties of the corresponding polymers analyzed. Our physicochemical properties analysis services include:
CD ComputaBio provides you with complete and optimized target analysis services. We can help you complete HER2 target services through strict quality control and advanced computing platforms.
In computational biology analysis, statistical analysis is crucial. In addition to testing hypotheses, statistics can provide approximations for unknowns that are difficult or impossible to measure. Our statistical analysis strategies will include:
We can calculate the common and unique genes/species for each sample or population based on the abundance of genes/species in each sample in each sample, and then draw a venn diagram to show it. The venn map service we provide can be used to count the number of common and unique OTUs in multiple samples, which can more intuitively display the similarity and overlap of the number of OTUs in environmental samples.
The principle of component analysis is to try to recombine the original variables into a new set of several comprehensive variables that are independent of each other, and at the same time, according to actual needs, a few less total variables can be extracted from it to reflect as much as possible. The statistical method of the original variable is called principal component analysis or principal component analysis, our principal component analysis reduces the dimensionality of the data space under study and helps build regression models.