Publications by authors named "Neil Mody"

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Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning.
Lateefat A Kalejaye, Jia-Min Chu, I-En Wu, Bismark Amofah, Amber Lee, Neil Mody

MAbs· December 2025

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Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatography.
A N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, Jenna G Caldwell, Valentin Stanev, Neil Mody

MAbs· December 2025

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Development of production methodologies for scFv-Fc conjugated critical reagents to support CAR-T clinical programs.
Ellen O'Connor, Eric Lachacz, Jared Delmar, Bradley D'souza, Samuel Edwards, Neil Mody

Bioanalysis· November 2025

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Predicting human subcutaneous bioavailability of monoclonal antibodies using an integrated in-vitro/in-silico approach.
Belal I Hanafy, Isabelle Trayton, Monika Sundqvist, Jenna Caldwell, Neil Mody

J Control Release· April 2025

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Developability profiling of a panel of Fc engineered SARS-CoV-2 neutralizing antibodies.
Andrew Dippel, Austin Gallegos, Vineela Aleti, Arnita Barnes, Xiaoru Chen, Neil Mody

MAbs· December 2022

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Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics.
Pin-Kuang Lai, Austin Gallegos, Neil Mody, Hasige A Sathish, Bernhardt L Trout

MAbs· March 2022

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Critical reagents for ligand-binding assays: process development methodologies to enable high-quality reagents.
Caroline Kittinger, Jared Delmar, Lisa Hewitt, Rebecca Holcomb, Christopher Jones, Neil Mody

Bioanalysis· February 2022

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Molecular computations of preferential interactions of proline, arginine.HCl, and NaCl with IgG1 antibodies and their impact on aggregation and viscosity.
Theresa K Cloutier, Chaitanya Sudrik, Neil Mody, Sathish A Hasige, Bernhardt L Trout

MAbs· August 2021

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Machine Learning Models of Antibody-Excipient Preferential Interactions for Use in Computational Formulation Design.
Theresa K Cloutier, Chaitanya Sudrik, Neil Mody, Hasige A Sathish, Bernhardt L Trout

Mol Pharm· September 2020

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Highland games: A benchmarking exercise in predicting biophysical and drug properties of monoclonal antibodies from amino acid sequences.
Jonathan Coffman, Bruno Marques, Raquel Orozco, Minni Aswath, Hasan Mohammad, Neil Mody

Biotechnol Bioeng· July 2020

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Molecular Computations of Preferential Interaction Coefficients of IgG1 Monoclonal Antibodies with Sorbitol, Sucrose, and Trehalose and the Impact of These Excipients on Aggregation and Viscosity.
Theresa Cloutier, Chaitanya Sudrik, Neil Mody, Hasige A Sathish, Bernhardt L Trout

Mol Pharm· August 2019

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Understanding the Role of Preferential Exclusion of Sugars and Polyols from Native State IgG1 Monoclonal Antibodies and its Effect on Aggregation and Reversible Self-Association.
Chaitanya M Sudrik, Theresa Cloutier, Neil Mody, Hasige A Sathish, Bernhardt L Trout

Pharm Res· May 2019

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Developability Assessment of Engineered Monoclonal Antibody Variants with a Complex Self-Association Behavior Using Complementary Analytical and in Silico Tools.
Lu Shan, Neil Mody, Pietro Sormani, Kim L Rosenthal, Melissa M Damschroder

Mol Pharm· December 2018

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Utility of High Throughput Screening Techniques to Predict Stability of Monoclonal Antibody Formulations During Early Stage Development.
Deborah S Goldberg, Rachael A Lewus, Reza Esfandiary, David C Farkas, Neil Mody

J Pharm Sci· August 2017

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An "Fc-Silenced" IgG1 Format With Extended Half-Life Designed for Improved Stability.
M Jack Borrok, Neil Mody, Xiaojun Lu, Megan L Kuhn, Herren Wu

J Pharm Sci· April 2017

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Computational tool for the early screening of monoclonal antibodies for their viscosities.
Neeraj J Agrawal, Bernhard Helk, Sandeep Kumar, Neil Mody, Hasige A Sathish

MAbs· September 2016

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