The protein encoded by the TNIK gene is a serine/threonine kinase that acts as an activator of the Wnt signaling pathway. Mutations in this gene are associated with an autosomal recessive form of cognitive impairment. Alternative splicing results in multiple transcript variants encoding distinct isoforms. TNIK, characterized by an N-terminal kinase domain and a C-terminal GCK domain, exerts regulatory functions. TNIK has been shown to phosphorylate gelsolin, a protein involved in F-actin depolymerization to induce cytoskeletal changes. CD ComputaBio now offers professional TNIK targeting services to meet your research needs.
Studies have demonstrated Wnt-driven intestinal tumorigenesis and spheroid and tumorigenic activity in colorectal cancer cells. TNIK is required for the tumor-initiating function of colorectal cancer stem cells. Its inhibition is a promising therapeutic approach[1]. Therefore, we provide professional TNIK inhibitor services, our experts have accumulated years of experience in small molecule design, and can provide you with a one-stop solution.
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.
Our bioinformaticians will provide our clients with the most accurate density functional theory calculations. Density functional theory (DFT) is a computational quantum mechanical model used in several fields of biochemistry. The properties of a multi-electron system can be determined using a functional, a function of another function. In the case of DFT, these are functionals of the space-dependent electron density. DFT is one of the most popular and versatile methods in condensed matter physics, computational physics, and computational chemistry.
CD ComputaBio has specialized target analysis experts. You only need to briefly describe your service needs, and our experts will provide you with customized solutions and communicate with you about service details. We have successfully supported multiple target analysis services. Our team is committed to providing customers with a full range of target computing support and services.
Univariate analysis is common in statistical analysis and involves only one variable. Analysis results are descriptive or inferential, so this analysis is widely used to analyze data collected from proteomics or metabolomics. The characteristics of the collected data represent a snapshot of the global biochemical profile of each organism. Most of these characteristics are expected to be within normal physiological ranges, and some characteristics may fluctuate dramatically due to changes in physiological conditions. CD ComputaBio can describe some methods in univariate data, including central tendency (mean, mode, and median) and dispersion: range, variance, maximum, minimum, quartiles (including interquartile range) and standard deviation. The univariate analysis services we provide include but are not limited to:
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