Our Services

• VEGF-C inhibitor design

Since the production of VEGF-C is related to tumor formation and metastasis, we provide professional VEGF-C inhibitor design service to meet your needs. Based on similarity to natural ligands, we provide professional VEGF-C inhibitor design services. In addition to small molecule inhibitors, we also provide design and optimization services for peptide and protein inhibitors. Our inhibitor design approach includes:

• Structure-Based Inhibitor Design
• Fragment-based inhibitor design
• Molecular Dynamics Simulation Service

Molecular dynamics simulations were used to predict changes in the VEGF-C system over time, thereby exploring important interaction information details. Specifically, experimentally determined structures can be refined, VEGF-C-ligand binding assessed, and ligand-VEGF-C interactions studied. MD simulations are particularly useful in computer-aided drug discovery. It can be used to identify cryptic or allosteric binding sites, enhance traditional virtual screening methods, and directly predict the binding energy of small molecules.

• Binding Mode Prediction

Binding mode prediction is focus on the interaction of active small molecule inhibitors with VEGF-C 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), i.e. re-dock or self-dock.

Our Capabilities

CD ComputaBio has advanced computing platforms and independent target research groups to provide you with a variety of professional target analysis services. Our scientific research team is large in scale, with multi-disciplinary leading talents in drug research and development, immunology, physiology, biochemistry, etc., forming a technical team mainly with doctoral and master's degrees. CD ComputaBio can provide you with a cost-effective one-stop solution.

Our Univariate Analysis Strategies Targeting VEGF-C

Univariate analysis is probably the simplest form of statistical analysis. Univariate analysis is common in statistical analysis and involves only one variable. The analysis results are descriptive or inferential, so this analysis is widely used to analyze data collected from proteomics or metabolomics. CD ComputaBio can describe some of the methods in univariate data, we can provide you with but not limited to the following services:

• Fold Change Analysis
• T-test Analysis
• ANOVA Service