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Record W2136223709 · doi:10.1021/bi020419x

Determination of Proton Transfer Rates by Chemical Rescue:  Application to Bacterial Reaction Centers

2002· article· en· W2136223709 on OpenAlexaff
M. L. Paddock, Pia Ädelroth, G. Fehér, M. Y. Okamura, J. Thomas Beatty

Bibliographic record

VenueBiochemistry · 2002
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of British Columbia
FundersNational Institute of General Medical Sciences
KeywordsProtonChemistryTransfer (computing)PhysicsComputer scienceNuclear physics

Abstract

fetched live from OpenAlex

The bacterial reaction center (RC) converts light into chemical energy through the reduction of an internal quinone molecule Q(B) to Q(B)H(2). In the native RC, proton transfer is coupled to electron transfer and is not rate-controlling. Consequently, proton transfer is not directly observable, and its rate was unknown. In this work, we present a method for making proton transfer rate-controlling, which enabled us to determine its rate. The imidazole groups of the His-H126 and His-H128 proton donors, located at the entrance of the transfer pathways, were removed by site-directed mutagenesis (His --> Ala). This resulted in a reduction in the observed proton-coupled electron transfer rate [(Q(A)(-)(*)Q(B))Glu(-) + H(+) --> (Q(A)Q(B)(-)(*))GluH], which became rate-controlled by proton uptake to Glu-L212 [Adelroth, P., et al. (2001) Biochemistry 40, 14538-14546]. The proton uptake rate was enhanced (rescued) in a controlled fashion by the addition of imidazole or other amine-containing acids. From the dependence of the observed rate on acid concentration, an apparent second-order rate constant k((2)) for the "rescue" of the rate was determined. k((2)) is a function of the proton transfer rate and the binding of the acid. The dependence of k((2)) on the acid pK(a) (i.e., the proton driving force) was measured over 9 pK(a) units, resulting in a Brönsted plot that was characteristic of general acid catalysis. The results were fitted to a model that includes the binding (facilitated by electrostatic attraction) of the cationic acid to the RC surface, proton transfer to an intermediate proton acceptor group, and subsequent proton transfer to Glu-L212. A proton transfer rate constant of approximately 10(5) s(-)(1) was determined for transfer from the bound imidazole group to Glu-L212 (over a distance of approximately 20 A). The same method was used to determine a proton transfer rate constant of 2 x 10(4) s(-)(1) for transfer to Q(B)(-)(*). The relatively fast proton transfer rates are explained by the presence of an intermediate acceptor group that breaks the process into sequential proton transfer steps over shorter distances. This study illustrates an approach that could be generally applied to obtain information about the individual rates and energies for proton transfer processes, as well as the pK(a)s of transfer components, in a variety of proton translocating systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.227
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations27
Published2002
Admission routes1
Has abstractyes

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