CD ComputaBio now offers professional NKG2D targeting services using computational approaches to meet your research needs.
NKG2D is an activating receptor (transmembrane protein) that belongs to the NKG2 family of C-type lectin-like receptors. NKG2D is encoded by the KLRK1 (killer lectin-like receptor K1) gene, which is located in the NK gene complex (NKC) on mouse chromosome 6 and human chromosome 12. NKG2D is a major recognition receptor for the detection and elimination of transformed and infected cells, as its ligands are induced during cellular stress, whether as a result of infection or genomic stress such as cancer. In NK cells, NKG2D acts as an activating receptor, which itself can trigger cytotoxicity. When cancer cells are "stressed," NKG2D ligands are upregulated, sensitizing cells to NK cell-mediated lysis. However, some tumor cells have acquired the ability to evade this immune surveillance. They created the ability to reduce and eliminate the large amounts of NKG2DL present on the cell surface of tumor cells by secreting metalloproteases that cleave this ligand, thus, they escaped the control of NK cells and their cytotoxic activity.
Cluster analysis is simple and intuitive, and is mainly used for exploratory research. Regardless of whether there are really different categories in the actual data, solutions into several categories can be obtained through cluster analysis. Cluster analysis is the main task of exploratory data mining and a common technique for statistical data analysis. Cluster analysis itself is not a specific algorithm, but the general task to be solved often requires modification of data preprocessing and model parameters until the result has the desired properties. We provide cluster analysis services in the field of bioinformatics to meet your research needs. Our analysis steps include:
Through back-docking, CD ComputaBio can identify new disease targets, explain the molecular mechanism of substances, and find alternative indications for known drugs through drug relocation. The correct construction of the target structure database is a key step to improve the accuracy and applicability of the reverse docking method. The molecular docking procedure used during reverse docking is similar to conventional docking methods. Based on many popular docking procedures we have made some modifications to make the whole process more computationally efficient and accurate.
CD ComputaBio has extensive expertise and extensive experience in research on target computing. We have built a comprehensive and complex computational biology platform. Our mission is to provide reliable and high-quality services, providing strong support to our clients in target calculation and evaluation.
Molecular docking is a structure-based drug design method that predicts binding mode and affinity by studying the interaction of small-molecule ligands with receptor biomacromolecules. Our molecular docking process mainly includes: