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Lateefat A Kalejaye on Muck Rack

Lateefat A Kalejaye

As seen in: ACS Publications, BioRxiv
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Articles by Lateefat A Kalejaye

Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-Based Surface Descriptors

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By I-En Wu, Lateefat A Kalejaye, Pin-Kuang Lai
| dx.doi.org
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Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-Based Surface Descriptors

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By I-En Wu, Lateefat A Kalejaye, Pin-Kuang Lai
| ACS Publications
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DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability

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By Taylor Terry, Pin-Kuang Lai, Lateefat A Kalejaye, I-En Wu
| BioRxiv
Abstract Therapeutic antibody development, manufacturing, and administration face challenges due to high viscosities and aggregation tendencies often observed in highly concentrated antibody solutions. This poses a particular problem for subcutaneous administration, which requires low-volume and high-concentration formulations. The spatial charge map (SCM (mAbs, 8 (1) (2015), pp. 43-48)) and spatial aggregation propensity (SAP (PNAS.
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