Evidence map›Paper›PMID 34623510›Full record

ArticleJournal of molecular modeling2021

An integrated molecular modeling protocol for drug screening based on conceptual density functional theory and chemoinformatics for the study of marine cyclopeptides.

Norma Flores-Holguín, Juan Frau, Daniel Glossman-Mitnik

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2021. 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
0.2field-weighted citation impact, top 47% 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, 3 citations in OpenAlex.

  1. Review
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.

Norma Flores-HolguínLaboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Chihuahua, México.
Juan FrauDepartament de Química, Universitat de les Illes Balears, Palma de Mallorca, Spain.
Daniel Glossman-MitnikLaboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Chihuahua, México. daniel.glossman@cimav.edu.mx.ORCID http://orcid.org/0000-0002-9583-4256
Centro de Investigación en Materiales Avanzados · MXUniversitat de les Illes Balears · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An integrated molecular modeling protocol resulting from the combination of conceptual density functional theory (CDFT) chemical reactivity descriptors with several chemoinformatics tools has been used for the study of the chemical reactivity and bioactivity properties of a group of marine cyclic peptides. CP-CDFT is a branch of computational chemistry and molecular modeling dedicated to the study of peptides. The protocol allowed the estimation of the CDFT-based reactivity indices together with the associated physicochemical parameters that can help to identify the ability of the studied peptides to behave as potential useful drugs. This was complemented with an analysis of the bioactivity and pharmacokinetics parameters related to the ADMET (absorption, distribution, metabolism, excretion, and toxicity) features. Some examples related to the ability of the CDFT-based chemical reactivity descriptors for the prediction of the pKas of the peptides as well as their potential as AGE inhibitors are also presented.

Indexed as

Drug Evaluation, PreclinicalAquatic OrganismsCheminformaticsDensity Functional TheoryModels, MolecularMolecular StructurePeptides, CyclicPeptides, CyclicADMETComputational peptidologyComputational pharmacokineticsConceptual DFTKID (Koopmans In DFT)Neamphamides A–D

Identifiers

PMID34623510
OpenAlexW3202401996

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.