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Record W2806614496 · doi:10.1139/cjp-2017-0216

Vibrational studies, quantum chemical calculations, and molecular modelling of ferrous fumarate

2018· article· en· W2806614496 on OpenAlexvenueno aff
P. Justin, R. Niranjana Devi, K. Anitha

Bibliographic record

VenueCanadian Journal of Physics · 2018
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsnot available
Fundersnot available
KeywordsFerrousMoleculeMolecular orbitalIonization energyRaman spectroscopyComputational chemistryLigand (biochemistry)Basis setChemistryPhysicsIonizationOrganic chemistryReceptorBiochemistry

Abstract

fetched live from OpenAlex

Ferrous fumarate, an excellent pharmaceutical drug, was investigated theoretically, which was found to be in accordance with experimental results. FT-Raman and FT-IR spectra were recorded and effectively correlated with computed vibrational studies. DFT/B3PW91 method using 6–311G basis set was employed to determine the optimized structure of ferrous fumarate. Consecutive vibrational modes have been assigned and the calculated structural parameters were compatible with the experimental results. Ionization energy was found to be very low (0.263 eV), thereby the hardness analysis confirms the ferrous fumarate is soft (13.872 eV). Frontier molecular orbital theory confirms the low stability of the molecule. Molecular electrostatic potential map (MEP) shows the nucleophilic and electrophilic sites, which favour the possible reactive sites for future ligand attachments. Molecular docking studies of ferrous fumarate against harmful fungal pathogens and hemoglobin variants aids in the detection of effective binding modes of receptor–ligand complex, which lead towards novel drug discovery.

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 score0.125
Threshold uncertainty score0.209

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 head0.127
GPT teacher head0.289
Teacher spread0.163 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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