Janet M. Thornton

The paper develops a geometric matching method to detect catalytic features in protein structures, showing it is more sensitive than sequence-based approaches for identifying homology between distantly related enzymes.

The paper predicts and validates amino acid residues determining product specificity in plant oxidosqualene cyclases using structural and computational methods.

The paper identifies Moraceae-specific P450 enzymes involved in furanocoumarin biosynthesis by analyzing evolutionary patterns and functional divergence in Ficus carica.

The paper identifies 38 cases of enzymes with different structures but identical functions, analyzing their sequence, structure, and mechanism to support convergent evolution.

The paper develops a computational pipeline to annotate functional tunnels in enzyme-ligand complexes and validates it using molecular systems, showing it matches molecular dynamics simulations in speed and accuracy.

EzMechanism automatically generates catalytic mechanism proposals for enzymes by applying biocatalytic rules, validated against 56 enzymes with known mechanisms.

The paper identifies recurring 3D catalytic modules in enzymes using the M-CSA database, showing their conservation and role in catalysis and evolution.

The paper maps constrained coding regions in the human genome to their corresponding proteins and identifies protein features associated with high constraint for variation.

The paper analyzes germline and somatic variants in DDR genes, showing somatic variants cluster in functional regions and differ from germline variants in prostate cancer patients.

This study identifies genetic associations between age-related diseases, finding four clusters with shared age-of-onset profiles and aging-related genes, and suggests drug repurposing for multiple age-dependent diseases.

This study compares transcriptomic changes in long- and short-lived mouse models of ageing, identifying mitochondrial metabolism as a key factor and showing that progeroid mice exhibit gene expression patterns similar to normal ageing.

This study examines conformational variation in enzyme catalytic residues using structural data to show that flexibility varies among enzymes and often involves non-bond-forming residues.

The paper identifies a novel de novo missense variant in GABRA2 associated with EIEE and analyzes structural impacts of seven variants across Cys-loop receptors.

This study shows that gene expression heterogeneity increases with aging in the human brain and is linked to lifespan regulation and neuronal functions.

The paper screens for genes affecting epigenetic age acceleration in humans and identifies NSD1 as a key regulator of the epigenetic ageing clock.

The paper examines age-related changes in transcriptome heterogeneity using human brain data, finding a consistent increase in gene and pathway variability with age.

The paper identifies anti-ageing drug candidates by analyzing drug-protein interactions and validates one candidate in C. elegans.

This study uses gene expression data to identify drugs that may combat ageing by comparing age-related gene changes with drug-induced profiles.

The paper analyzes the relationship between enzyme-catalyzed reactions and EC numbers, finding that one-third of EC numbers are linked to multiple reactions in secondary databases.