A. S. Morgunov

Serological fingerprints link antiviral activity of therapeutic antibodies to affinity and concentration

The paper links antiviral activity of therapeutic antibodies to their affinity and concentration by comparing them to serological fingerprints in convalescent sera.

Understanding the role of memory re-activation and cross-reactivity in the defense against SARS-CoV-2

This study uses microfluidic antibody-affinity profiling to assess cross-reactive antibodies against SARS-CoV-2 in convalescent patients and pre-pandemic sera, finding low affinity and concentration against SARS-CoV-2 spike protein.

Mutations in two SARS-CoV-2 variants of concern reflect two distinct strategies of antibody escape

This study compares antibody escape mechanisms in SARS-CoV-2 alpha and beta variants, finding they use distinct strategies: alpha increases ACE2 binding affinity, while beta alters epitopes to reduce antibody access.

In vitro measurements of protein-protein interactions show that antibody affinity governs the inhibition of SARS-CoV-2 spike/ACE2 binding in convalescent serum

The paper measures how antibody affinity affects the inhibition of SARS-CoV-2 spike/ACE2 binding in convalescent serum using in vitro assays.

Machine learning aided top-down protein identification on a microfluidic platform

This paper demonstrates a microfluidic platform that generates multidimensional protein fingerprints, enabling high-accuracy classification using machine learning, even when single-dimensional classification fails.

Machine learning models for predicting protein condensate formation from sequence determinants and embeddings

This paper develops machine learning models to predict protein condensate formation using sequence determinants and embeddings, achieving high accuracy and sensitivity.