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Inverse Virtual Screening Service

Welcome to CD ComputaBio, where cutting-edge scientific techniques meet innovative solutions. Our Inverse Virtual Screening Service is designed to revolutionize drug discovery and molecular design processes, offering unparalleled efficiency and accuracy in identifying potential drug candidates. Leveraging the power of computational biology and advanced algorithms, we bring to you a service that accelerates the discovery of novel compounds with therapeutic potential.

Overview of Inverse Virtual Screening Service

Inverse Virtual Screening (IVS) represents a paradigm shift in the field of drug discovery. Traditionally, virtual screening involves the computational screening of databases to identify molecules that bind to a specific target of interest. In contrast, IVS involves the identification of potential targets for a given molecule or ligand. This innovative approach allows researchers to explore the diverse biological activities of compounds, predict off-target effects, and understand the underlying mechanisms of drug action.

Our Services

Vast molecular databases screening

Large-Scale Database Screening

Leveraging vast molecular databases and cutting-edge technology, we conduct thorough screenings to identify potential targets for your compounds of interest.

Target-specific screening

Diversity and Target-Specific Screening

We offer screenings that focus on diverse target classes or specific proteins of interest, providing detailed insights and actionable results.

Hit prioritization

Hit Prioritization and Validation

Following the screening process, we prioritize hits based on various criteria, such as binding affinity and physicochemical properties, and validate them through rigorous analyses.

Structural analysis

Structural Analysis and Interaction Studies

Our service includes in-depth structural analyses and interaction studies to elucidate the binding modes and mechanisms of action between ligands and target proteins.

Analysis Methods

Machine Learning Models

By training these models on diverse datasets, we enhance their predictive capabilities, ensuring robust results for each screening task.

Deep Learning Architectures

Our neural networks are optimized to handle high-dimensional data, enabling efficient exploration of chemical space and rapid identification of lead compounds.

Virtual Screening Algorithms

Our cutting-edge virtual screening algorithms employ a combination of docking simulations, and pharmacophore modeling to evaluate the binding affinity of small molecules to target proteins.

Results Analysis

Neural network analysis

Neural Network Model Analysis

Interaction analysis

Interaction Analysis View

PCA analysis

PCA Result Analysis

Result Delivery

  • Comprehensive Reports
    Upon completion of the IVS process, you will receive detailed reports outlining the methodology, results, and interpretations, accompanied by visual representations and analyses for enhanced understanding.
  • Interactive Data Visualization
    Our team provides interactive visualizations of the screening results, allowing you to explore and interpret the data effectively.

At CD ComputaBio, we harness the power of artificial intelligence and machine learning to enhance the efficiency and accuracy of our Inverse Virtual Screening services. Our team of data scientists and computational biologists continuously develop and optimize cutting-edge algorithms that leverage AI to analyze complex biological datasets, predict drug-target interactions, and uncover novel insights into drug discovery and development. If you are interested in our services or have any questions, please feel free to contact us.

Services

Online Inquiry