The TGF-beta receptor (transforming growth factor) (TGFR) is a serine/threonine kinase receptor. They are involved in paracrine signaling and are present in many types of tissues. TGF-β ligands include bone morphogenetic proteins, growth and initiation factors, anti-Müllerian hormone, activin, nodular TGF-β. There are 3 types of TGFR:
Over-expression of TGF causes kidney disease, diabetes and renal disease. Mutations in TGFR II cause various types of tumors. CD ComputaBio now offers professional TGFR targeting services to meet your research needs.
All-atom simulations mainly study the structural and functional changes of individual biomolecules under different physiological conditions. Ligand-binding site conformational changes, macromolecular folding, etc. typically involve a large number of different types of biomolecules and the collective motion of biomolecules, often lasting longer than a few microseconds to several milliseconds. Traditional all-atom simulations are difficult to achieve. Therefore, reducing the degrees of freedom of the simulated system by simplifying the details of all-atom simulations has created a long-standing approach to large-scale simulations—the coarse-grained (CG) simulation approach. Our coarse-grained dynamics simulations services include:
CD ComputaBio's high-throughput screening services 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. The rescreening mode forms an efficient and multi-level new drug screening platform. We built a subset of target libraries containing the most common pharmacologically characterized targets. Our advances in target identification can also characterize the target's pharmacological activity and determine high-throughput feasibility.
Our multi-target drug solutions step involves first detecting cracks or voids on the protein surface, encoding the geometric and physicochemical properties of the voids. Comparisons are then made to find a set of targets with similar cavity properties. Ultimately, multi-target ligands can be designed based on a set of targets with similar cavity characteristics. Multi-targeted drugs can effectively modulate complex systems throughout the cell. Multi-targeted drugs can improve efficacy and safety, act on multiple targets related to diseases, produce multiple pharmacological activities, obtain the desired diverse biological regulation functions, and reduce side effects.
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.
CD ComputaBio provides a one-stop data analysis service, 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 biological data analysis services include: