Deciphering atomic-level enzymatic activity by time-resolved crystallography and computational enzymology
Deciphering atomic-level enzymatic activity by time-resolved crystallography and computational enzymology
批准号:
10507610
负责人:
Wei Wang
金额:
$10.0万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-15 至 2024-07-31
关键词:
ATP HydrolysisATP phosphohydrolaseATPase DomainAccelerationAchievementActinsAutomobile DrivingAwardBenchmarkingBindingBinding SitesBiochemical ReactionBiologicalBiological ModelsCaringCharacteristicsChemistryCollaborationsCollectionComplexCrystallizationCrystallographyDevelopmentDiseaseElectron MicroscopyEngineeringEnsureEnzymatic BiochemistryEnzymesEventExhibitsFree EnergyFreezingGeometryHandHeat shock proteinsHybridsHydrolysisImpairmentIn VitroIndividualIonsJointsKnowledgeLeadLengthLifeLigand BindingMalignant NeoplasmsMechanicsMentorsMentorshipMetabolismMethodsModelingModernizationNucleotidesOrganismPathway interactionsPersonsPhasePhysiologicalPreparationProcessProtonsQuantum MechanicsReactionReactive Oxygen SpeciesResearchRoentgen RaysSeriesSideSolidStructureSumSystemTemperatureTestingTimeTime StudyTransportationUniversitiesWaterWorkactivation-induced cytidine deaminasebasechemical reactionelectron diffractionenzyme activityenzyme substrateexperimental studyin vivoinnovationinsightinstrumentmolecular mechanicsmutantnoveloperationprogramsquantumreceptorrestraintskillstime intervaltool
中文摘要
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英文摘要
Project Summary
Enzymes are proteins that aid in the acceleration of metabolism or the chemical reactions in all living organisms.
By synthesizing certain molecules and degrading others, enzymes can catalyze a range of biochemical reactions
both in vivo and in vitro. When in collaboration with transporters and receptors, enzymes regulate almost all
physiological functions in the body. Therefore, it is important to thoroughly understand ex- and in vivo enzyme
activities.
Among the many methods of studying enzyme activities, time-resolved macromolecular crystallography (TRX)
has the advantage of investigating enzymatic reaction details on the fly. However, TRX theoretically can only
capture the states where the enzymes are at local energetic saddle points. On the other hand, modern hybrid
quantum mechanics/molecular mechanics (QM/MM) enables studying enzymatic reactions where new
molecules are formed or destroyed. However, without the support from solid biological structures or if the
transformation between reactant and product states is distinctively different, QM/MM cannot reach the authentic
answer.
This proposal aims to establish a new TRX- and QM/MM-based strategy to investigate enzymatic activities by
joining the strength of those two territories. Notably, a recently elucidated allosteric controlling mechanism in 70-
kDa heat shock proteins (Hsp70s) leads to an unparalleled opportunity of building a model system as a
benchmark for developing the proposed TRX-QM/MM strategy. Specifically, in Aim 1, a groundbreaking
discovery of oxygen radicals driving ATP hydrolysis will be examined by TRX experiments on the ATPase domain
of bacterial Hsp70 DnaK. In Aim 2, I will use QM/MM to identify and verify the oxygen radical species, and
depict the free energy landscape of the hydrolysis event in full scale. In Aim 3, I will use DnaK and actin to
benchmark the development of three components that will significantly enhance the scope of the TRX-QM/MM
method, including an automated freezing-and-quenching instrument, a new electron diffraction method for
chasing proton transportation, and a new crystallographic refinement program that can handle open-shell
systems.
During the K99 phase (Aim 1 and 2), I will be mentored by Dr. Wayne Hendrickson, a leader in macromolecular
crystallography, and Dr. Arieh Warshel, a leader in computational enzymology. This work will reveal a novel
mechanism of ATP hydrolysis by Hsp70 in the short term. Still, most importantly, it will establish an unparalleled
TRX-QM/MM method for broad enzymatic studies in the longer term.
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Deciphering atomic-level enzymatic activity by time-resolved crystallography and computational enzymology
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