Evidence map›Paper›PMID 36902455›Full record

ArticleInternational journal of molecular sciences2023

Understanding Passive Membrane Permeation of Peptides: Physical Models and Sampling Methods Compared.

Liuba Mazzanti, Tâp Ha-Duong

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Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

2 authors.

Liuba MazzantiBioCIS, CNRS, Université Paris-Saclay, 17 Avenue des Sciences, 91400 Orsay, France.
Tâp Ha-DuongBioCIS, CNRS, Université Paris-Saclay, 17 Avenue des Sciences, 91400 Orsay, France.ORCID 0000-0002-0847-2948

Funding

Grand Équipement National de Calcul Intensif (France) AD010713502 and A0130713807
6 · The paper itself

Abstract

The early characterization of drug membrane permeability is an important step in pharmaceutical developments to limit possible late failures in preclinical studies. This is particularly crucial for therapeutic peptides whose size generally prevents them from passively entering cells. However, a sequence-structure-dynamics-permeability relationship for peptides still needs further insight to help efficient therapeutic peptide design. In this perspective, we conducted here a computational study for estimating the permeability coefficient of a benchmark peptide by considering and comparing two different physical models: on the one hand, the inhomogeneous solubility-diffusion model, which requires umbrella-sampling simulations, and on the other hand, a chemical kinetics model which necessitates multiple unconstrained simulations. Notably, we assessed the accuracy of the two approaches in relation to their computational cost.

Indexed as

Lipid BilayersMolecular Dynamics SimulationCell Membrane PermeabilityDiffusionPeptidesPermeabilityLipid BilayersPeptidesfree energy profileMarkov State Modelmolecular dynamics simulationpeptide membrane permeabilityumbrella sampling

Identifiers

PMID36902455
PMCPMC10003141

What OpenQuestion holds

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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.