Monica L. Fernández‐Quintero

This study designs de novo single-domain antibodies against cobra neurotoxin and shows they protect mice from lethal venom toxicity.

This study determines the structural basis of antigen recognition by two mAbs targeting PfCSP, revealing conserved and distinct binding modes and their implications for antibody function.

The paper analyzes antigenic drift in the H1 hemagglutinin lateral patch across time and species using monoclonal antibodies to identify mutations that evade immune targeting.

This paper introduces NbForge, a nanobody folding model that improves prediction of HCDR3 blueprint and disulphide bonds, achieving accuracy comparable to large predictors with faster speed.

This study designs a protein that precisely controls Gremlin-1 antagonism by releasing BMPs, revealing the role of interface rigidity in antagonist function.

This study improves HIV broadly neutralizing antibodies through multistate engineering, resulting in enhanced breadth and potency against diverse Env variants.

The paper predicts the structural flexibility of antibody and T-cell receptor CDR3 loops using a new method trained on a large dataset of conformations.

This study identifies a bi-directional binding site between the α2δ-1 subunit and the voltage-sensing domain I of calcium channels, revealing how it modulates activation kinetics.

This paper uses cryoEM to analyze antibody-antigen interactions with HIV MPER-GT immunogens, revealing binding patterns and epitopes that inform antigen optimization.

This study identifies a conserved DR motif in CDR H3 of antibodies targeting the influenza virus neuraminidase active site, suggesting a common strategy for broad protection.

This paper designs de novo pMHC binders using generative models to create T cell-based cancer therapeutics with high specificity and minimal cross-reactivity.

This study maps polyclonal antibody responses to mRNA-1273 and NVX-CoV2373 vaccines using EMPEM, revealing the NTD supersite as an immunodominant epitope vulnerable to variant mutations.

This paper demonstrates that ion mobility spectrometry can distinguish between plasmalogens and other ether lipids by analyzing their gas-phase geometries, improving lipid annotation accuracy.

This study identifies a single mutation in H5N1 viruses from dairy cows that increases receptor binding breadth to avian receptors, suggesting potential for expanded host range.

This study evaluates AF2's ability to predict protein structural ensembles by comparing its results with MD simulations and NMR data for four test proteins.

The paper highlights challenges in antibody structure prediction, emphasizing structural inaccuracies and introducing a tool to validate models.

OCD.py calculates inter-domain orientations for all immunoglobulin domains using a transferable approach, applicable to both single structures and molecular dynamics trajectories.