Creative BioMart's extensive experience in computational-based protein engineering to randomly introduce or modify the biophysical properties of proteins enables us to provide computational therapeutic protein design services to accelerate your project. Computational techniques have broad applications in molecular engineering of proteins with therapeutic potential, including antibody affinity maturation, modulation of protein interactions, enhancement of stability, and minimization of protein aggregation.

Among protein molecules, protein interactions are specific, and protein drugs cause fewer unexpected side effects than small molecule drugs. In addition, proteins are easier to engineer. Therefore, protein molecules have high value as therapeutic molecules. Computing is increasingly used to guide the design of protein therapeutics. The power of computational design comes from the ability to transcend the combinatorial and physical limitations inherent in lab-based high-throughput or trial-and-error methods. Successful protein engineering therapy requires scientifically supported selection of appropriate molecular targets, determination of the target structure of the therapeutic protein, and finally selection of the sequence that folds into the structure.

Fig 1. The role of computation in therapeutic protein design. (Hwang I, et al., 2008)

Services

Computational techniques play a key role in the design and development of amino acid-based therapeutics such as proteins, peptides, and peptidomimetics. Creative BioMart is dedicated to the study of therapeutic protein design incorporating various elements of the computational design of protein-based therapeutics. Our computational therapeutic protein design seeks to identify properties of amino acid sequences that fold into predetermined structures with desired structural and functional characteristics. We employ multiple strategies for molecular engineering of proteins with therapeutic potential:

• Improving antibody affinity.
• Targeted disruption of crucial protein–protein interactions.
• Increasing stability.
• Minimizing aggregation.
• Reducing the immunogenicity of proteins.
• Solubilization of GPCRs.

Based on computational design, we have successfully designed therapeutic proteins with novel topologies and catalytic activities. Our mission is to accelerate the delivery of new medicines to patients by introducing targeted mutations to modulate protein structure and function. We can provide you with the most professional and comprehensive functional-oriented computational therapeutic protein design services:

• Therapeutic Protein Folding Recognition Service
• Therapeutic Protein Species Assessment Service
• Therapeutic Protein Functional Motion Analysis Service
• T Cell Epitope Prediction Service
• B Cell Epitope Prediction Service
• Molecular Dynamics Simulation of RNA Systems
• Ion Channel Modeling Service

If you have any special requirements about our computational therapeutic protein design services, please feel free to contact us . We are looking forward to working together with your attractive projects.

References

1. Hwang I, Park S. (2008) Computational design of protein therapeutics[J]. Drug Discovery Today: Technologies. 5 (2-3): e43-e48.
2. Marvin J S, Zhu Z. (2005) Computation-based design and engineering of protein and antibody therapeutics[J]. Drug Design Reviews-Online (Discontinued). 2 (6): 419-425.

• In-Silico Pharmacology Services
• Knowledge-Based Protein Design Services
• Protein Structure Prediction and Assessment Services
• Rotamer Libraries for Molecular Modeling and Design of Proteins