Heterogeneity in the M. tuberculosis β-Lactamase Inhibition by Sulbactam.
Marius SchmidtTek Narsingh MallaKara ZielinskiLuis AldamaSasa BajtDenisse FelizBrandon HayesMark S HunterChristopher KupitzStella LisovaJuraj KnoskaJose Manuel Martin-GarciaValerio MarianiSuraj PandeyIshwor PoudyalRaymond G SierraAlexandra TolstikovaOleksandr YefanovChing Hong YoonAbbas OurmazdPetra FrommePeter SchwanderAnton BartyHenry N ChapmanEmina A StojkovicAlexander BatyukSébastien BoutetGeorge N PhilipsLois PollackPublished in: Research square (2023)
For decades, researchers have been determined to elucidate essential enzymatic functions on the atomic lengths scale by tracing atomic positions in real time. Our work builds on new possibilities unleashed by mix-and-inject serial crystallography (MISC) 1-5 at X-ray free electron laser facilities. In this approach, enzymatic reactions are triggered by mixing substrate or ligand solutions with enzyme microcrystals 6 . Here, we report in atomic detail and with millisecond time-resolution how the Mycobacterium tuberculosis enzyme BlaC is inhibited by sulbactam (SUB). Our results reveal ligand binding heterogeneity, ligand gating 7-9 , cooperativity, induced fit 10,11 and conformational selection 11-13 all from the same set of MISC data, detailing how SUB approaches the catalytic clefts and binds to the enzyme non-covalently before reacting to a trans- enamine. This was made possible in part by the application of the singular value decomposition 14 to the MISC data using a newly developed program that remains functional even if unit cell parameters change during the reaction.
Keyphrases
- single cell
- mycobacterium tuberculosis
- electron microscopy
- electronic health record
- acinetobacter baumannii
- hydrogen peroxide
- single molecule
- big data
- pulmonary tuberculosis
- escherichia coli
- multidrug resistant
- high glucose
- high resolution
- quality improvement
- diabetic rats
- molecular dynamics
- molecular dynamics simulations
- cell therapy
- stem cells
- emergency department
- klebsiella pneumoniae
- data analysis
- magnetic resonance
- drug induced
- oxidative stress
- pseudomonas aeruginosa
- endothelial cells
- cystic fibrosis
- human immunodeficiency virus
- solar cells
- electron transfer
- hiv infected
- dual energy
- deep learning
- contrast enhanced