Computer-Aided Drug Design
- ADME/Tox Prediction
- De Novo Drug Design
- Ligand-Based Virtual Screening
- Quantum Mechanics
- Structure-Based Virtual Screening
- DNA-Encoded Library Technology
- Fragment-Based Screening
- High Content Screening
High Throughput Screening
- Assay Development
- Automated HTS Platform
- Biochemical Assays
- Bio-Layer Interferometry
- Circular Dichroism Spectroscopy
- Isothermal Titration Calorimetry
- Mass Spectrometry
- Microscale Thermophoresis
- Nuclear Magnetic Resonance Spectrometry
- Surface Plasmon Resonance Spectrometry
- Thermal Shift Assay
- Cellular Assays
- Compound Libraries
- Data Management
- Drug Repurposing
- Hit Screening
- Virtual Screening
- Experienced and qualified scientists functioning as project managers or study director
- Independent quality unit assuring regulatory compliance
- Methods validated per ICH GLP/GMP guidelines
- Rigorous sample tracking and handling procedures to prevent mistakes
- Controlled laboratory environment to prevent a whole new level of success
Structural and Ligand Similarity-based Hybrid MethodINQUIRY
Hybrid methods are integrated VS methods which take full advantages of all available chemical and biological information. They are developed based on both structural and ligand similarity, and give an accurate prediction of small-molecule binders using ligand-binding data or global structural similarity and pocket similarity. This approach maintains the merits and eliminates the flows of each individual VS method, enhancing the high efficiency of VS.
BOC Sciences provides different hybrid strategies to integrate the ligand- and structure-based virtual screening methods. We use several filters with the application of both ligand- and structure-based methods to reduce a large screening library to a number which is small enough for performing experimental testing.
First, we perform similarity searching at initial steps of hierarchical ligand-based virtual screening.
Then, a molecular docking is applied to decrease the huge number of compounds to a reasonable number.
The final step is to rank the compounds obtained from the following steps.
We use the protein-ligand pharmacophores to describe a combination of ligand- and protein-information since they are obtained based on experimental data or homology models of protein-ligand complexes.
We also apply excluded volumes to restrict filtered compounds to the size of binding pocket.
Our teams have rich experiences in conducting hierarchical, parallel, and hybrid virtual screening campaigns.
We can provide high-quality services of the combination of ligand- and structure-based virtual screening methods.
At BOC Sciences, integration of proficient visual selection of compounds is available.
Shah, A.P.; Patel, C. N. Virtual Screening of Novel Hybrid Non-Steroidal Anti-Inflammatory Drugs (NSAIDs): Exploring Multiple Targeted Cancer Therapy by an In Silico Approach. Current Cancer Therapy Reviews. 2020, 16: 70-77.
※ It should be noted that our service is only used for research.