Friend leukemia integration 1 transcription factor (FLI1), also known as transcription factor ERGB, is a protein encoded in humans by the proto-oncogene FLI1 gene. Fli-1 is a member of the ETS transcription factor family, which was first identified in erythroleukemia induced by Friend Murine Leukemia Virus. Constitutive activation of fli-1 in erythroblasts results in a dramatic shift in the Epo/Epo-R signaling pathway, blocking erythroid differentiation, activating the Ras pathway, and leading to massive Epo-independent proliferation of erythroblasts. These results suggest that Fli-1 overexpression in erythroblasts alters their response to Epo and triggers abnormal proliferation by switching signaling events associated with terminal differentiation to proliferation. CD ComputaBio now offers professional FLI-1 targeting services to meet your research needs.
Our Services
- Coarse-grained Dynamics Simulations
Many biological processes, such as protein-protein docking, ligand-binding site conformational changes, macromolecular folding, etc., typically involve a large number of different types of biomolecules and the collective motion of biomolecules, usually lasting longer than a few microseconds to a few milliseconds. Traditional all-atom simulations are difficult to achieve. Therefore, we reduced the degrees of freedom of the simulated system by simplifying the details of all-atom simulations, creating a long-standing method for large-scale simulations—the coarse-grain (CG) simulation method.
- Binding Mode Prediction
CD ComputaBio provides binding pattern analysis services. Analysis of the binding mode of drugs and receptors is of great significance for new drug development and candidate drug screening. Binding Mode Prediction Study the interaction of active small molecule inhibitors with RET targets and understand their mechanism of action. For binding mode prediction, we need to examine the reproducibility of the combined conformations of the docking software (methods), ie re-dock or self -dock.
- Cluster Analysis
The cluster analysis we provide can be used in various aspects of biological information, it is the main task of exploratory data mining, and it is also 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.
Our Capabilities
CD ComputaBio has successfully produced a variety of FLI-1 target solutions, providing different industry solutions for target services. We have strict quality controls at every step of our service to ensure our clients receive high-quality data. CD ComputaBio has an advanced computational biology platform. We will tailor one-stop FLI-1 target services for you in a high-quality way to help you achieve your goals and make informed project decisions. Our services will quickly meet your specific needs at very competitive prices.
Our Biological Data Analysis Service Targeting FLI-1
CD ComputaBio now provides comprehensive data analysis services to discover new knowledge from all types of biological data. Our team creates an efficient data analysis pipeline that combines mathematics, statistics, and programming to perform the required analysis for a client's specific technical or biological research question. We have state-of-the-art data mining techniques designed to tackle challenging data analysis problems, dealing with noisy, incomplete data and computationally intensive tasks. Our goal is to enable researchers to make meaningful observations and discoveries from vast amounts of data in the biological, pharmaceutical, and clinical domains. Our biological data analysis services include:
* For Research Use Only.
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