Evidence map›Paper›PMID 37849549›Full record

ArticleACS medicinal chemistry letters2023

Adaptation of Empirical Methods to Predict the LogD of Triazine Macrocycles.

Casey J Patterson-Gardner, Gretchen M Pavelich, April T Cannon, Alexander J Menke, Eric E Simanek

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Casey J Patterson-GardnerDepartment of Chemistry & Biochemistry, Texas Christian University, Fort Worth, Texas 76129, United States.
Gretchen M PavelichDepartment of Chemistry & Biochemistry, Texas Christian University, Fort Worth, Texas 76129, United States.
April T CannonDepartment of Chemistry & Biochemistry, Texas Christian University, Fort Worth, Texas 76129, United States.ORCID https://orcid.org/0009-0008-6894-7010
Alexander J MenkeDepartment of Chemistry & Biochemistry, Texas Christian University, Fort Worth, Texas 76129, United States.ORCID https://orcid.org/0000-0001-9573-7045
Eric E SimanekDepartment of Chemistry & Biochemistry, Texas Christian University, Fort Worth, Texas 76129, United States.ORCID https://orcid.org/0000-0002-3195-4523

Funding

Molecular Recognition in Dendrimers Based on MelamineR01GM064560 · NIGMS · TEXAS CHRISTIAN UNIVERSITY · PI SIMANEK, ERIC E · 2002 to 2009
$2.3M
Disrupting Protein-Protein Interactions with Self-Assembling MacrocyclesR15GM135900 · NIGMS · TEXAS CHRISTIAN UNIVERSITY · PI SIMANEK, ERIC E, STEWART, MIKAELA · 2019 to 2023
$736k
NIGMS NIH HHS R01 GM064560NIGMS NIH HHS R15 GM135900
6 · The paper itself

Abstract

Octanol/water partition coefficients guide drug design, but algorithms do not always accurately predict these values. For cationic triazine macrocycles that adopt a conserved folded shape in solution, common algorithms fall short. Here, the logD values for 12 macrocycles differing in amino acid choice were predicted and then measured experimentally. On average, AlogP, XlogP, and ChemAxon predictions deviate by 0.9, 2.8, and 3.9 log units, with XlogP overestimating lipophilicity and AlogP and ChemAxon underestimating lipophilicity. Importantly, however, a linear relationship (

Identifiers

PMID37849549
PMCPMC10577694

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.