CD133 is a glycoprotein encoded by the PROM1 gene in humans. It is a member of the pentaspan transmembrane glycoprotein and localizes specifically to cell protrusions. When embedded in the cell membrane, the membrane topology of prominin-1 allows the N-terminus to extend into the extracellular space and the C-terminus to reside in the intracellular compartment. The protein consists of five transmembrane segments, the first and second and third and fourth segments are connected by an intracellular loop, while the second and third and fourth and fifth transmembrane segments are connected by an extracellular loop connect. CD133 is expressed in hematopoietic stem cells, endothelial progenitor cells, glioblastoma, neuronal and glial stem cells, various pediatric brain tumors, and adult kidney, breast, trachea, and salivary glands. CD133 is the most commonly used marker for the isolation of cancer stem cell (CSC) populations from different tumors, mainly from various gliomas and carcinomas. The CD133-positive population was able to efficiently proliferate tumors, first on brain tumors. CD ComputaBio now offers professional CD133 targeting services to meet your research needs.
Our Services
- Protein-Protein Interaction Network Prediction
Protein-protein interactions (PPIs) are critical for nearly every process in a cell, so understanding PPIs is critical to understanding cellular physiology in both normal and disease states. CD ComputaBio provides our clients with the best service for predicting protein-protein interaction networks. Our services include:
- In silico protein-protein interactions prediction service
- Prediction of protein-protein interaction sites (ISPPIsSP)
- Residue Interaction Network Service
RIN represents a three-dimensional protein structure as a set of nodes (residues) and their connections. Topological parameters calculated from RIN are relevant to various aspects of protein structure and function. We can provide complex analysis of proteins and their complexes and predict different properties and functions of individual residues and whole proteins by using RIN analysis. The chemical and physical properties of bases and the energy of their interactions are analyzed by constructing RINs.
- Virtual Screening Service
We provide a one-stop virtual screening (VS) service, which is active compound screening based on small molecule databases. Using the molecular docking operation between small molecule compounds and drug targets, virtual screening can quickly screen out druggable active compounds from tens of millions to millions of molecules, greatly reducing the number of experimentally screened compounds and shortening the research time.
Our Capabilities
CD ComputaBio has substantial expertise and experience in target research involving drug design, molecular docking, molecular dynamics simulation and other methods. We have established a comprehensive and sophisticated computational platform. Our mission is to provide reliable and high-quality services that strongly support our clients in target analysis, prediction and evaluation.
Our Antibody Drug Discovery Strategies Targeting CD133
- Antibody Affinity Maturation Service
CD ComputaBio has established a complete in silico antibody design platform. Based on our platform can provide you with high-quality computer-aided affinity maturation services, we will do our best to promote the success of your project. We use thorough optimization techniques to rank the best solutions in a discretized search space in detail. Based on our comprehensive antibody platform, new antibodies with desired therapeutic properties can be designed and engineered. We customize services according to the specific requirements of our customers. We also offer other epitope-specific antibody design services.
- Antibody-Antigen Interaction Prediction
The main focus of analyzing the structural basis of Ag identification is to determine the exact boundaries of the CDRs in a given Ab. It is common practice to identify paratopes by identifying CDRs. However, several studies in recent years have shown that not all positions in the traditionally defined CDRs are important for binding, and some positions that play a key role in binding are outside the transitional CDRs. CD ComputaBio examines its relationship to the Ag interface by predicting the entire Ab structure.
* For Research Use Only.
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