Evidence map›Paper›PMID 37603724›Full record

ArticleBioinformatics (Oxford, England)2023

StarPep Toolbox: an open-source software to assist chemical space analysis of bioactive peptides and their functions using complex networks.

Longendri Aguilera-Mendoza, Sebastián Ayala-Ruano, Felix Martinez-Rios, Edgar Chavez, César R García-Jacas, Carlos A Brizuela, Yovani Marrero-Ponce

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 21 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

7 authors at 3 institutions in 2 countries.

Longendri Aguilera-MendozaGrupo de Medicina Molecular y Translacional (MeM&T), Facultad de Medicina, Universidad San Francisco de Quito (USFQ), Quito, Ecuador.
Sebastián Ayala-RuanoGrupo de Medicina Molecular y Translacional (MeM&T), Facultad de Medicina, Universidad San Francisco de Quito (USFQ), Quito, Ecuador.
Felix Martinez-RiosFacultad de Ingeniería, Universidad Panamericana, CDMX, Benito Juárez 03920, México.
Edgar ChavezDepartamento de Ciencias de la Computación, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California 22860, México.
César R García-JacasDepartamento de Ciencias de la Computación, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California 22860, México.ORCID 0000-0002-3962-7658
Carlos A BrizuelaDepartamento de Ciencias de la Computación, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California 22860, México.
Yovani Marrero-PonceGrupo de Medicina Molecular y Translacional (MeM&T), Facultad de Medicina, Universidad San Francisco de Quito (USFQ), Quito, Ecuador.ORCID 0000-0003-2721-1142
Centro de Investigación Científica y de Educación Superior de Ensenada · MXUniversidad Panamericana · MXUniversidad San Francisco de Quito · EC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationAntimicrobial peptides (AMPs) are promising molecules to treat infectious diseases caused by multi-drug resistance pathogens, some types of cancer, and other conditions. Computer-aided strategies are efficient tools for the high-throughput screening of AMPs.

resultsThis report highlights StarPep Toolbox, an open-source and user-friendly software to study the bioactive chemical space of AMPs using complex network-based representations, clustering, and similarity-searching models. The novelty of this research lies in the combination of network science and similarity-searching techniques, distinguishing it from conventional methods based on machine learning and other computational approaches. The network-based representation of the AMP chemical space presents promising opportunities for peptide drug repurposing, development, and optimization. This approach could serve as a baseline for the discovery of a new generation of therapeutics peptides. AVAILABILITY AND IMPLEMENTATION: All underlying code and installation files are accessible through GitHub (https://github.com/Grupo-Medicina-Molecular-y-Traslacional/StarPep) under the Apache 2.0 license.

Indexed as

PeptidesSoftwareCluster AnalysisDrug RepositioningHigh-Throughput Screening AssaysPeptides

Identifiers

PMID37603724
PMCPMC10469104
OpenAlexW4386022032

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.