T. P. J. Knowles

This study identifies the thermodynamic mechanisms underlying trigger factor binding to ribosomes and nascent chains during co-translational protein synthesis.

The paper shows that glutamate reveals distinct energy and length scales for phase separation and clustering of FET family proteins in sub-saturated solutions.

This paper introduces smMDS, a method for digital sizing of proteins in solution, enabling sensitive and accurate measurement of protein sizes and interactions.

The paper investigates A{beta}42 fibril self-replication using statistical mechanics and modeling, finding replication occurs on isolated small catalytic sites on the fibril surface.

This study quantifies collective interactions in biomolecular phase separation by analyzing dilute phase concentrations and free energy, revealing how salts and small molecules modulate condensate formation.

This study identifies that antimicrobial peptides (AMPs) induce nucleic acid phase separation, which may be a novel mechanism for their antibacterial activity.

This study characterizes non-specific interactions of clinical-stage monoclonal antibodies using solution-based microfluidic technologies to generate quantitative non-specificity fingerprints.

This study investigates how different lipid membrane models affect Aβ42 aggregation kinetics in vitro, showing inhibition by ER and Golgi membranes.

This study identifies small molecules that inhibit alpha-synuclein aggregate proliferation using structure-based and kinetic assays.

This paper develops a lab-on-a-chip method for analyzing biomolecular processes with high sensitivity and single molecule resolution in physiological conditions.

This paper introduces a core-shell microgel bioprinting method to create functional living materials with controlled microporosity and enhanced bioprocessing capabilities.

This study links antibody non-specific binding to surface interaction patches and shows how they drive liquid-liquid phase separation under certain conditions.

This paper shows that multiphase biomolecular condensates form due to kinetic trapping during phase transitions, not thermodynamic stability, and explains how this leads to internal sub-compartments.

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

This paper introduces a method called nano-cavity diffusional sizing (NDS) to measure the size of nanoscale particles and single biomolecules using residence times in nano-cavities.

This paper introduces nano-fluidic traps that increase detection times for single macromolecules and colloids in solution by providing local steric confinement.

This paper uses structure-based machine learning to identify potent small molecule inhibitors of α-synuclein aggregation, achieving compounds two orders of magnitude more potent than previous reports.

This study investigates how single-component protein condensates can transform into multiphase architectures during ageing through non-conservative inter-molecular interactions.

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.

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.

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

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

This paper develops a microfluidic assay to directly measure antibody affinity and concentration in solution, applied to characterise alloantibody-HLA interactions in transplant patient sera.

This study quantitatively models protein aggregation in C. elegans using a molecular framework, showing that nucleation rates and stochasticity drive aggregation in vivo, consistent with in vitro findings.

This paper introduces a single-molecule microfluidic platform for digital protein biomarker detection, demonstrating its ability to quantify protein concentrations and provide insights beyond traditional immunoassays.

The paper investigates how surface electrostatics influence the stability of biomolecular condensates by comparing their fusion propensity using zeta potential measurements and molecular modeling.

This study identifies two distinct nucleation pathways for amyloid fibril formation on fluid membranes and quantifies how membrane properties influence these pathways.