T. Einav

Pre-existing Immunity to Influenza Aids Ferrets in Developing Stronger and Broader Vaccine-induced Antibody Responses

This study shows that pre-existing immunity in ferrets enhances vaccine-induced antibody responses, reducing the need for booster shots and broadening protection against homologous and heterologous influenza strains.

Using Interpretable Machine Learning to Massively Increase the Number of Antibody-Virus Interactions Across Studies

This paper develops a computational framework to predict antibody-virus interactions across studies, expanding datasets and enabling transferability between vaccination and infection studies.

Harnessing Matrix Completion to Unify and Extend Viral Serology Studies

This paper applies matrix completion to predict antibody-virus interactions in influenza and HIV-1 studies, reducing the number of required experiments while improving data integration across studies.

Mapping the Antibody Repertoires in Ferrets with Repeated Influenza A/H3 Infections: Is Original Antigenic Sin Really "Sinful"?

This study uses a new computational tool to analyze antibody repertoires in ferrets after repeated influenza infections, finding that broadly neutralizing antibodies can emerge despite original antigenic sin.

Using Neutralization Landscapes to enumerate Antibody Behavior and Decompose Antibody Mixtures

The paper introduces a Neutralization Landscape to analyze antibody-virus interactions and decompose antibody mixtures targeting influenza hemagglutinin stem proteins.

When Two are Better than One: Modeling the Mechanisms of Antibody Mixtures

The paper develops a statistical mechanical model to predict antibody mixture activity based on epitope interactions and validates it using EGFR antibodies and engineered multidomain antibodies.

Harnessing Avidity: Quantifying Entropic and Energetic Effects of Linker Length and Rigidity Required for Multivalent Binding of Antibodies to HIV-1 Spikes

This paper models synthetic diFabs with DNA linkers to quantify how linker length and rigidity affect antibody neutralization potency against HIV-1.

The Energetics of Molecular Adaptation in Transcriptional Regulation

The paper links mutations in a transcriptional repressor to biophysical parameters, showing how changes in free energy predict gene expression and epistasis.

How the Avidity of Polymerase Binding to the -35/-10 Promoter Sites Affects Gene Expression

This paper challenges energy matrix models of gene expression by showing that avidity between -35 and -10 promoter sites significantly affects gene expression and proposes a refined model incorporating this effect.

Combinatorial Control through Allostery

This study develops a statistical mechanical model to analyze how allosteric molecules can implement different Boolean logic gates and ratiometric sensing based on the MWC model.

Theoretical Analysis of Inducer and Operator Binding for Cyclic-AMP Receptor Protein Mutants

This paper compares two models to explain CRP mutant behavior and finds the MWC model better explains structural and functional data.

Tuning transcriptional regulation through signaling: A predictive theory of allosteric induction

The paper develops a predictive theory of allosteric transcriptional regulation using the Monod-Wyman-Changeux model and validates it with experimental data on bacterial simple repression motifs.

Monod-Wyman-Changeux Analysis of Ligand-Gated Ion Channel Mutants

The paper develops a framework using the MWC model to analyze gating properties of ion channel mutants, showing how mutations affect specific biophysical parameters and unify dose-response data across channel types.