* Please be kindly noted that our services and products can only be used for research to organizations or companies and not intended for any clinical or individuals.

• 3D-QSAR
• Absorption, Distribution, Metabolism, and Excretion and Toxicity Prediction
• In Silico Protein-protein Interactions Prediction
• Molecular docking for protein-ligand
• Molecular Dynamics Simulation
• Protein Structure Modeling
• Virtual screening

As a leading service provider in drug discovery and research, BOC Sciences is fully capable and committed to providing one-stop proteolysis targeting molecular drug discovery based on chimeric (PROTAC^®). With a comp rehensive and advanced platform, we provides PROTAC design based on bioinformatics services to customers around the world to meet new drug discovery goals.

Introduction

In order to simplify and accelerate the discovery of PROTAC, it is necessary to grasp the design rules of PROTAC, which is helpful to establish a reliable PROTAC evaluation platform. To date, most reported PROTAC designs are based on target protein-binding ligands (usually inhibitors). Because the crystal complex structure of the target protein and its binding ligand and the structure-activity relationship information of the ligand have been used to guide PROTAC design, such as determining the Linker binding site of the target protein binding ligand. Recent research uses bioinformatics to guide PROTAC optimization. Bioinformatics methods play an irreplaceable role in the process of drug discovery, especially for the analysis of large-scale multi-group data. at present, many disease-related database resources have emerged, and a variety of bioinformatics methods have been established to discover potential drug targets based on biological network characteristics, multi-gene chip, proteome, metabolome data and so on. The target drug availability and drug side effects were predicted.

The advantages of using bioinformatics to predict potential drug targets are as follows:

• It is not limited to specific technologies or certain types of information, but is especially suitable for integrating different data into a large system to evaluate the performance of potential drug targets.
• The network-based drug target discovery platform is conducive to drug target screening and finding joint targets from an overall point of view.
• With the accumulation of dynamic and detailed biological spatio-temporal data, it is possible to accurately simulate the process of drug needle action on the target and the impact on the whole system in the computer, thus greatly improving the efficiency of drug development.

Our Services

• Molecular docking for protein-ligand
• Virtual screening
• In Silico Protein-protein Interactions Prediction
• Protein Structure Modeling
• Molecular Dynamics Simulation
• ADME/Tox Prediction
• 3D-QSAR

Our Advantages

• Advanced equipment and technique
• Experienced scientific team
• Highly reliable and reproducible result
• Data analysis, detailed report with results and discussion
• Quality one-stop service

References:

1. Cohen, M. S., Zhang, C., Shokat, K. M., & Taunton, J. (2005). Structural bioinformatics-based design of selective, irreversible kinase inhibitors. Science, 308(5726), 1318-1321.
2. Mrozek, D. (2014). High-performance computational solutions in protein bioinformatics. Heidelberg: Springer.

* PROTAC^® is a registered trademark of Arvinas Operations, Inc., and is used under license.