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Record W4232261934 · doi:10.1002/0470862106.ia473

Medicinal Inorganic Chemistry: Ligand Design Objectives and Principles

2005· other· en· W4232261934 on OpenAlexaff
Katherine H. Thompson

Bibliographic record

VenueEncyclopedia of Inorganic Chemistry · 2005
Typeother
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLipophilicityLigand (biochemistry)ChemistryCombinatorial chemistrySolubilityAqueous solutionAntiparasiticMetalMetal ions in aqueous solutionStereochemistryOrganic chemistryBiochemistryMedicineReceptor

Abstract

fetched live from OpenAlex

Abstract Metal‐based pharmaceutical agents are composed of one or more metal ions and at least one ligand. Additional molecular substituents may include targeting moieties, linking groups, antioxidants, or pendant carbohydrates, or some combination of these. There are two main applications of metal‐based pharmaceutical agents: diagnostic and therapeutic. Ligand requirements for the two streams of development differ in some important ways, but are still based on the same basic principles for molecular design, including consideration of thermodynamic and hydrolytic stability, pharmacokinetics, molecular weight and charge, lipophilicity and hydrophilicity, aqueous solubility, functional groups, and ligand nontoxicity (sometimes achieved by using naturally occurring binding groups). Examples of the principles that are discussed in this article include Gd(III)‐based magnetic resonance imaging (MRI) contrast agents, Cu(II)‐clotrimazole, proposed as an antiparasitic agent, 67 Ga‐citrate for tumor imaging, and 99 m Tc(I)‐sestamibi for cardiac imaging.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.019
GPT teacher head0.237
Teacher spread0.217 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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