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Record W2920177608 · doi:10.14288/1.0376560

Characterizing labile protons by NMR spectroscopy

2019· article· en· W2920177608 on OpenAlexaff
Jacob Brockerman

Bibliographic record

VenuecIRcle (University of British Columbia) · 2019
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNuclear magnetic resonance spectroscopySpectroscopyChemistryNuclear magnetic resonancePhysics

Abstract

fetched live from OpenAlex

Labile hydrogens in proteins, including those on ionizable functional groups, undergo rapid exchange with water and thus are typically difficult to characterize by current techniques in structural biology. Their properties are often inferred from biophysical arguments rather than direct experimental determination. Here I present new methods for studying these hydrogens by NMR spectroscopy using two glycoside hydrolases as model protein systems. Chapter 2 centres on characterizing the hydroxyl protons of serine and threonine residues in proteins by NMR spectroscopy. Using auxtrophic E. coli strains, I produced Bacillus circulans xylanase (BcX) selectively labeled with ¹³C/¹⁵N-serine or ¹³C/¹⁵N-threonine. Signals from two serine and three threonine hydroxyls in these protein samples were readily observed using long-range heteronuclear scalar correlation experiments. Their dihedral angle-dependent scalar couplings with adjacent sidechain protons were determined via a quantitative ¹³C/1¹⁵N-filtered spin-echo difference experiment. The hydrogen exchange kinetics of these hydroxyls were measured using a ¹³C/¹⁵N-filtered CLEANEX-PM pulse sequence. Collectively, these experiments provided insights into the structural and dynamic properties of this model protein. Chapter 3 characterizes a mutant of T4 phage lysozyme (T4L) with an altered catalytic mechanism due to the substitution of residue Thr26 with a histidine (T26H). It has been proposed that T26H-T4L hydrolyzes peptidoglycan via a double displacement mechanism with His26 serving the unusual role of a nucleophile. To gain further insights into this or alternative mechanisms, I used NMR spectroscopy to measure the acid dissociation constants (pKa values) and/or ionization states of all the Asp, Glu, His, and Arg residues in the T4L mutant. Most notably, the pKa value of the proposed nucleophile His26 is 6.8 ± 0.1, whereas that of the general acid Glu11 is 4.7 ± 0.1. If the proposed mechanism holds true, then T26H-T4L follows a reverse protonation pathway where only a minor population of protein is in its catalytically competent ionization state (His26 deprotonated and Glu11 protonated). I also demonstrated that all arginines in T26H-T4L, including the active site Arg145, are positively charged under neutral pH. This stands in contrast to a recent neutron crystallographic study of T26H-T4L in which, perplexingly, Arg145 was proposed to have a deprotonated guanidine sidechain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2019
Admission routes1
Has abstractyes

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