How to Use DeepViscosity
Commercially Available Online Web Server
Use DeepViscosity online for high-concentration antibody viscosity risk screening.
DeepViscosity is a developability model for predicting whether a monoclonal antibody is likely to fall into a low- or high-viscosity class at formulation-relevant concentration. The paper frames this as a practical bottleneck in therapeutic antibody development, where otherwise promising leads can fail because concentrated formulations become too viscous for manufacturing or delivery.
On Neurosnap, researchers submit paired heavy:light sequences as Input Sequences and obtain a sequence-level viscosity classification that is appropriate for early liability screening, panel triage, and lead downselection before committing to experimental rheology work.
How DeepViscosity Works
The model is an ensemble of neural networks trained on large-scale monoclonal antibody viscosity data. Rather than using raw sequence alone, DeepViscosity operates on 30 structure-related descriptors derived from the DeepSP surrogate model, which gives it a more developability-oriented view of the physicochemical features associated with high-concentration viscosity.
On Neurosnap, the ensemble outputs are most informative when read together: the class label gives a practical low-versus-high decision boundary, Prob_Mean reflects the average confidence that a sequence belongs to the high-viscosity class, and Prob_Std shows how much the ensemble disagrees. That combination is useful for separating clear liabilities from borderline candidates that may still deserve formulation testing.
What is Neurosnap?
Neurosnap is the leading platform for bioinformatics and computational science focused on expanding access to powerful modeling and simulation tools. Because many state-of-the-art machine learning systems remain complex to install, configure, and scale, Neurosnap offers a clean, browser-based workspace that removes the burden of infrastructure management, dependency conflicts, and command-line tooling.
Built for biologists, chemists, and cross-disciplinary scientists, the platform enables advanced computational workflows without requiring expertise in software engineering or cloud architecture. Researchers can launch analyses through an intuitive interface, connect programmatically through a comprehensive API, and rely on automated resource management to scale workloads efficiently. By taking care of the underlying compute and operational complexity, Neurosnap allows teams to devote their energy to scientific progress and faster iteration. Security and data protection remain foundational principles, with clear safeguards outlined in our Terms of Use and Privacy Policy to ensure your work stays protected.
Advancing Discovery with DeepViscosity on Neurosnap
Using DeepViscosity on Neurosnap could drastically accelerate high-concentration monoclonal antibody viscosity risk screening from paired heavy-light sequences.
- Therapeutic antibody fit: The required heavy:light sequence format matches how monoclonal antibody leads are already represented in discovery pipelines.
- Developability-focused modeling: DeepViscosity is aimed at a specific downstream liability that often appears late and expensively in antibody programs.
- Ensemble interpretation: Mean probability and ensemble spread help distinguish obvious high-risk candidates from uncertain edge cases.
- Early triage value: Screening viscosity liability computationally can narrow panels before labor-intensive formulation experiments.
How to Use DeepViscosity on Neurosnap
To harness the capabilities of DeepViscosity, researchers can follow this streamlined workflow within Neurosnap:
- Access Neurosnap: Start by logging in to the Neurosnap website.
- Select Tool: From the list of available tools, choose DeepViscosity.
- Provide Inputs: Provide all the inputs specified within the submission panel and optionally configure the tool as desired.
- Run Tool: Submit the DeepViscosity job and Neurosnap will execute it in the cloud, automatically notifying you as soon as your results are ready.
- Review Output: Explore your results through rich visualizations, including figures, plots, and interactive views designed to help you analyze findings with clarity and confidence.
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