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Record W4324052958 · doi:10.26685/urncst.418

A Novel Bisphosphonate-Ligand Conjugate (NBLC) for Bone-Targeted Pb(II) Chelation and Suppression of Osteoclast-Mediated Bone Resorption

2023· article· en· W4324052958 on OpenAlexaff
Mohammed Al‐Seragi

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChemistryChelationLigand (biochemistry)Allosteric regulationOsteoclastBisphosphonateConjugateBone resorptionStereochemistryBiochemistryReceptorOsteoporosisMedicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Lead is a naturally occurring toxin which is prone to bioaccumulation in the human skeleton. Problematically, conventional chelating agents fail to acutely uptake lead – inadvertently targeting important divalent metal cations in the body (e.g., zinc) while primarily addressing only the plasma-bound toxins. For these reasons, this report aims to model a novel bisphosphonate-ligand conjugate (NBLC) which A. bears remarkable specificity for the bone, B. reduces bone-lead turnover into the blood via suppression of osteoclast activity mediated by Farnesyl Pyrophosphate Synthase (FPPS), and C. favorably complexes with lead amongst all other minerals in the body while depositing calcium in place of the uptaken metal. Methods: The NBLC molecular model was designed on Marvinsketch and optimized in three-dimensional space for ligand-receptor docking using UCSF Chimera. The NBLC and other conventional bisphosphonates (Zoledronate and NE10575) were uploaded to Webina 1.0.4 to determine an average free energy (ΔG) and, subsequently, an average drug binding affinity (Kd) of the three most energetically stable FPPS-molecule complexes to gauge efficacy of the moieties as allosteric inhibitors. Thereafter, the average bond length of four coordinate covalent bonds between the bisphosphonates (including the NBLC) and two hydroxyapatite crystals was determined as a measure of molecular binding affinity to the bone. Results: The NBLC achieved a Kd of 0.062±0.003. By One-Way ANOVA, this result was statistically lower than the results obtained by the other FPPS-bisphosphonate complexes (p=2.59×10-5), reinforcing that the NBLC is a more potent allosteric inhibitor of the osteoclast-mediating enzyme. Additionally, the average coordination bond length of the NBLC-hydroxyapatite complex was 3.13±0.7Å, which, as determined via a two-tailed T-test, bore a statistically insignificant difference with the results obtained using Zoledronate (p=0.991). Discussion: The results demonstrate that the NBLC is capable of binding bone hydroxyapatite and allosterically inhibiting FPPS. Conclusion: The collected data suggests that the NBLC successfully meets the first two criteria defined in the introduction. As per the final criterion, this paper paves way for future work in synthesis and characterization of the NBLC to experimentally determine the thermodynamic stability of its metal complexes and ascertain its ability to selectively uptake lead while depositing calcium.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.071
GPT teacher head0.424
Teacher spread0.353 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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