IL3-RA Targeting Services
Interleukin 3 receptor, alpha (low affinity) (IL3-RA), also known as CD123 (Cluster of D differentiation 123), is a human gene. The protein encoded by this gene is the interleukin 3-specific subunit of the heterodimeric cytokine receptor. This receptor consists of a ligand-specific alpha subunit and a signaling beta subunit shared by the Interleukin 3 (IL3), Colony Stimulating Factor 2 (CSF2/GM-CSF) and Interleukin 5 (IL5) receptors . The binding of this protein to IL3 depends on the beta subunit. The β subunit is activated by ligand binding and is required for IL3 biological activity. This gene and the gene chain encoding colony-stimulating factor 2 receptor alpha (CSF2RA) form the cytokine receptor gene cluster in an XY pseudoautosomal region on the X or Y chromosome. CD ComputaBio now offers professional IL3-RA targeting services to meet your research needs.
Our Services
- Molecular Docking
Our structural preparation before docking includes receptor structures and small molecule compounds (libraries); molecular docking calculations include conformation search and scoring evaluation; result analysis services include docking conformation selection, binding mode analysis, scoring and force analysis, etc. Our molecular docking services mainly focus on the following aspects:
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Replication Exchange Molecular Dynamics (REMD) Services
Our replication-exchange molecular dynamics simulations can be used to study protein aggregation, which is associated with many human diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD), and type 2 diabetes (T2D). In replication-exchange molecular dynamics simulations, a series of non-interacting replication systems were reconstructed, covering a broad temperature range from low to high temperature. A separate molecular dynamics simulation was performed for each replicate. REMD simulations can get rid of the low temperature configuration space of local potential energy nadirs, and REMD simulations can sample over a larger configuration space than conventional dynamics
- Biological Model Service
Currently, large amounts of biological and clinical data do not have suitable data processing and analysis tools. In the absence of training or knowledge of programming, statistics, and modeling, researchers can be overwhelmed. Therefore, customized data analysis services are becoming more and more important in the field of biological sciences and undoubtedly help to speed up the research cycle. CD ComputaBio integrates differential analysis of experimental data, providing an effective means to analyze complex systems with potential for biomedical applications.
Our Capabilities
CD ComputaBio provides the appropriate computational biology analysis services. Our services will continue to expand to meet the growing needs of the market. CD ComputaBio works closely with clients to build and maintain workflows that help improve scientific reproducibility and scale up complex bioinformatics analysis tasks. the CD ComputaBio team has worked in the field for over a decade and has published his research in top scientific journals.
Our Capabilities
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.
Our Statistical Analysis Strategies Targeting IL3-RA
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. CD ComputaBio has a variety of options available to describe customer-supplied data. Data analysis results can be fed back in the following forms: frequency distribution table, bar graph, histogram, and pie chart. Our statistical analysis strategies will include:
* For Research Use Only.
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