Evidence map›Paper›PMID 17051339›Full record

ArticleJournal of computer-aided molecular design2006

Predicting infinite dilution activity coefficients of organic compounds in water by quantum-connectivity descriptors.

Ernesto Estrada, Gerardo A Díaz, Eduardo J Delgado

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computer-aided molecular design, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 17 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 2 countries.

Ernesto EstradaComplex Systems Research Group, X-rays Unit, RIAIDT, Edificio CACTUS, University of Santiago of Compostela, 15782, Santiago de Compostela, Spain.
Gerardo A Díaz
Eduardo J Delgado
University of Concepción · CLUniversidade de Santiago de Compostela · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative structure-property relationship (QSPR) models are developed to predict the logarithm of infinite dilution activity coefficient of hydrocarbons, oxygen containing organic compounds and halogenated hydrocarbons in water at 298.15 K. The description of the molecular structure in terms of quantum-connectivity descriptors allows to obtain more simple QSPR models because of the quantum-chemical and topological information coded in this type of descriptors. The models developed in this paper have fewer descriptors and better statistics than other models reported in literature. The current models allow a more transparent physical interpretation of the phenomenon in terms of intermolecular interactions which occur in solution and which explain the respective deviations from ideality.

Indexed as

Quantitative Structure-Activity RelationshipHydrocarbonsHydrocarbons, HalogenatedMolecular StructureOrganic ChemicalsOxygenWaterHydrocarbonsHydrocarbons, HalogenatedOrganic ChemicalsOxygenWater

Identifiers

PMID17051339
OpenAlexW2133440442

What OpenQuestion 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 OpenQuestion graph.