Evidence map›Paper›PMID 35207101›Full record

ReviewMembranes2022

Design of Membrane Active Peptides Considering Multi-Objective Optimization for Biomedical Application.

Niels Röckendorf, Christian Nehls, Thomas Gutsmann

Open access · goldAbstract readReview
In one paragraph

Review in Membranes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Niels RöckendorfDivision of Mucosal Immunology and Diagnostics, Research Center Borstel-Leibniz Lung Center, Priority Area Chronic Lung Diseases, Member of the Airway Research Center North (ARCN), German Center for Lung Research (DZL), Parkallee 22, 23845 Borstel, Germany.ORCID 0000-0003-0306-9970
Christian NehlsDivision of Biophysics, Research Center Borstel-Leibniz Lung Center, Priority Area Infection, Parkallee 10, 23845 Borstel, Germany.ORCID 0000-0002-9210-3271
Thomas GutsmannDivision of Biophysics, Research Center Borstel-Leibniz Lung Center, Priority Area Infection, Parkallee 10, 23845 Borstel, Germany.
Christian-Albrechts-Universität zu Kiel · DEResearch Center Borstel - Leibniz Lung Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multitude of membrane active peptides exists that divides into subclasses, such as cell penetrating peptides (CPPs) capable to enter eukaryotic cells or antimicrobial peptides (AMPs) able to interact with prokaryotic cell envelops. Peptide membrane interactions arise from unique sequence motifs of the peptides that account for particular physicochemical properties. Membrane active peptides are mainly cationic, often primary or secondary amphipathic, and they interact with membranes depending on the composition of the bilayer lipids. Sequences of these peptides consist of short 5-30 amino acid sections derived from natural proteins or synthetic sources. Membrane active peptides can be designed using computational methods or can be identified in screenings of combinatorial libraries. This review focuses on strategies that were successfully applied to the design and optimization of membrane active peptides with respect to the fact that diverse features of successful peptide candidates are prerequisites for biomedical application. Not only membrane activity but also degradation stability in biological environments, propensity to induce resistances, and advantageous toxicological properties are crucial parameters that have to be considered in attempts to design useful membrane active peptides. Reliable assay systems to access the different biological characteristics of numerous membrane active peptides are essential tools for multi-objective peptide optimization.

Indexed as

antimicrobial peptidecell penetrating peptidemembrane active peptidemembrane activity assaymulti objective optimizationpeptide design

Identifiers

PMID35207101
PMCPMC8880019
OpenAlexW4210375044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.