Signal transducer and activator of transcription 3 (STAT3) is a transcription factor encoded by the STAT3 gene in humans. STAT3 is a member of the STAT protein family. In response to cytokines and growth factors, STAT3 is phosphorylated by receptor-associated Janus kinase (JAK), forming homo- or heterodimers, and transported to the nucleus where it acts as a transcriptional activator. Specifically, STAT3 is activated upon phosphorylation at tyrosine 705 in response to ligands such as interferon, epidermal growth factor (EGF), interleukin (IL-)5, and IL-6. STAT3 leads to upregulation of E-selectin, a factor in cancer metastasis. STAT3 is essential for the differentiation of TH17 helper T cells, which are implicated in a variety of autoimmune diseases. Increased STAT3 activity in cancer cells leads to changes in the function of protein complexes that control the expression of inflammatory genes, resulting in profound changes in the secretome and cellular phenotype, their activity in tumors, and their ability to metastasize. CD ComputaBio now offers professional STAT3 targeting services to meet your research needs.

Activation of STAT3 is a key event in TLR4 signaling-mediated melanoma  progression. Figure 1. Activation of STAT3 is a key event in TLR4 signaling-mediated melanoma progression. (Fu X Q, et al.2020)

Our Services

  • Biological Data Analysis
  • CD ComputaBio provides comprehensive biological data analysis services, 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. Our goal is to enable researchers to make meaningful observations and discoveries from the vast amounts of data analyzed by targets. Our biological data analysis services can be applied in the following areas:

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  • Homology Modeling Service
  • CD ComputaBio provides high-quality homology modeling services. The findings can help researchers understand the structural properties of target proteins, analyze their "structure-function" relationships, and can be used for drug screening, discovery of potential disease treatment drugs, or studies of target-drug interactions. Homology modeling is a practical method for predicting structure from sequences. There are two prerequisites for this approach: First, the presence of one or several distinguishable structures in the homologous protein of the target sequence. Second, the homology of the target sequence to the protein is high. Our homology modeling service mainly includes the following steps:

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  • 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. There are two main types of virtual screening methods: structure-based virtual screening (SBVS) and ligand-based virtual screening (LBVS).

Our Capabilities

CD ComputaBio has successfully produced a variety of STAT3 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 DSTAT3 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.

Project Sample

Our computational biology team has extensive experience in the research of STAT3 targets. The following is a small snapshot of our research process for reference only. For details, please feel free to consult our professional team.

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Reference

  1. Fu X Q, Liu B, Wang Y P, et al. Activation of STAT3 is a key event in TLR4 signaling-mediated melanoma progression. Cell Death & Disease, 2020, 11(4).
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