DeepViscosity
Predict high-concentration monoclonal antibody viscosity classes.
Overview
DeepViscosity is an ensemble deep learning ANN model developed to predict high-concentration monoclonal antibody viscosity classes (Low <= 20 cP, High > 20 cP). The model utilized 30 spatial properties (descriptors) obtained from DeepSP surrogate model as features for training.
Run DeepViscosity on Neurosnap
The DeepViscosity online webserver allows anybody with a Neurosnap account to run and access DeepViscosity, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Predicts viscosity class (Low <= 20 cP, High > 20 cP) for monoclonal antibodies.
- Uses ensemble deep learning ANN model.
- Utilizes 30 spatial properties from DeepSP surrogate model.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access DeepViscosity using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using DeepViscosity in publications or research outputs.
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Lateefat A. Kalejaye, Jia-Min Chu, I-En Wu, Bismark Amofah, Amber Lee, Mark Hutchinson, Chacko Chakiath, Andrew Dippel, Gilad Kaplan, Melissa Damschroder, Valentin Stanev, Maryam Pouryahya, Mehdi Boroumand, Jenna Caldwell, Alison Hinton, Madison Kreitz, Mitali Shah, Austin Gallegos, Neil Mody and Pin-Kuang Lai (2025). Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning. mAbs, 17(1). https://doi.org/10.1080/19420862.2025.2483944 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |