Publications by authors named "T Blundell"

This paper reports the synthesis, crystal structures and conducting properties of the first BEDT-TTF radical-cation salts with symmetry tris-coordinated racemic lanthanide(III) anions. It is also the first crystallographic determination of the nine-coordinate tris(chelidonato)terbate and tris(chelidonato)dysprosate anions (chelidonic acid = clo = 4-oxo-4-pyran-2,6-dicarboxylic acid). Salt α-(BEDT-TTF)M(chelidonato)·EtOH·2HO is semimetallic for M = Tb, and semiconducting for M = Dy.

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We report the synthesis of three radical-cation salts of BEDT-TTF from racemic tris(oxalato)ferrate by electrocrystallization in the presence of chiral molecules. In the presence of enantiopure l-(+)-tartaric acid, we observe spontaneous resolution of the labile tris(oxalato)ferrate anion to produce the chiral radical-cation salt α-(BEDT-TTF)[Δ-Fe(CO)].[l-(+)-tartaric acid] which contains only the Δ enantiomer of Fe(CO).

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Article Synopsis
  • - Structure-based drug design (SBDD) focuses on creating small molecules that accurately target specific proteins, using structural data to help propose new drug candidates.
  • - Current methods typically require extensive dataset preparation and retraining for different tasks, while our approach introduces a single pretrained model that can handle multiple design challenges.
  • - We introduce DiffSBDD, a diffusion model that generates new ligands based on protein structures, and demonstrate how it can be enhanced with constraints for better drug candidate quality.
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Aurora A kinase, a cell division regulator, is frequently overexpressed in various cancers, provoking genome instability and resistance to antimitotic chemotherapy. Localization and enzymatic activity of Aurora A are regulated by its interaction with the spindle assembly factor TPX2. We have used fragment-based, structure-guided lead discovery to develop small molecule inhibitors of the Aurora A-TPX2 protein-protein interaction (PPI).

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Summary: Analysing protein structure similarities is an important step in protein engineering and drug discovery. Methodologies that are more advanced than simple RMSD are available but often require extensive mathematical or computational knowledge for implementation. Grouping and optimising such tools in an efficient open-source library increases accessibility and encourages the adoption of more advanced metrics.

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