Bernhardt L. Trout

IIT@MIT — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

68h-index15.1kcitations255works1.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Protein purification and stability(72), Monoclonal and Polyclonal Antibodies Research(41), Crystallization and Solubility Studies(40), Protein Structure and Dynamics(38), nanoparticles nucleation surface interactions(25)

Publications255 total

Continuous lyophilization of suspended vials with per-vial inline analytics
Journal of Pharmaceutical Sciences·2026
End-to-end digital twin software for continuous mRNA manufacturing
International Journal of Pharmaceutics·2025
Forced Gas Convection for Uniform Freezing of Lyophilization Vials
Journal of Pharmaceutical Innovation·2025· 1 citedOpen Access
Vacuum compatible spring wire system for mass measurement of vials during lyophilization
Precision Engineering·2025
Mechanistic modeling of lipid nanoparticle formation for the delivery of nucleic acid therapeutics
Biotechnology Advances·2025· 6 cited
Developing ultra-high concentration formulations of human immune globulins for subcutaneous injectables
Journal of Pharmaceutical Sciences·2025· 5 cited
Enhanced O-glycosylation site prediction using explainable machine learning technique with spatial local environment
Bioinformatics·2025Open Access
End-to-End Digital Twin Software for Continuous Mrna Manufacturing
SSRN Electronic Journal·2025· 1 citedOpen Access
Emerging Applications and Regulatory Strategies for Advanced Medicines Manufacturing – Towards the Development of a Platform Approach
Journal of Pharmaceutical Sciences·2024· 6 cited
Developing Ultra-High Concentration Formulations of Human Immune Globulins Through Spray Drying and Suspension Formation
SSRN Electronic Journal·2024Open Access
Computational Modeling for the Oxidation Reactions of the Cysteine Residues with the Superoxide and the Organic Radical Species
The Journal of Physical Chemistry B·2022· 2 cited
Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
mAbs·2022· 81 citedOpen Access
Machine Learning Applied to Determine the Molecular Descriptors Responsible for the Viscosity Behavior of Concentrated Therapeutic Antibodies
Molecular Pharmaceutics·2021· 71 cited
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters
mAbs·2021· 45 citedOpen Access
Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions
mAbs·2021· 28 citedOpen Access
Calculation of therapeutic antibody viscosity with coarse-grained models, hydrodynamic calculations and machine learning-based parameters
DSpace@MIT (Massachusetts Institute of Technology)·2021Open Access
Machine Learning Feature Selection for Predicting High Concentration Therapeutic Antibody Aggregation
Journal of Pharmaceutical Sciences·2020· 45 cited
Computational Modeling of the Disulfide Cross-Linking Reaction
The Journal of Physical Chemistry B·2020· 11 cited
Machine Learning Models of Antibody–Excipient Preferential Interactions for Use in Computational Formulation Design
Molecular Pharmaceutics·2020· 34 cited
In Silico Engineering of Hydrate Anti-agglomerant Molecules Using Bias-Exchange Metadynamics Simulations
The Journal of Physical Chemistry C·2020· 16 cited
page 1 of 13Next →

Frequent Co-authors

Allan S. Myerson(9), Bernhard Helk(8), Naresh Chennamsetty(6), Vladimir Voynov(5), Veysel Kayser(5), Salvatore Mascia(4), Charles L. Cooney(4), Baron Peters(4), Diwakar Shukla(4), Ying Diao(4), T. Alan Hatton(4), Neeraj J. Agrawal(4), Paul I. Barton(3), James M. B. Evans(3), Klavs F. Jensen(3), Ravi Radhakrishnan(3), Brian M. Baynes(3), Curtiss P. Schneider(3), Patrick L. Heider(2), Richard Lakerveld(2)