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Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology

Microorganisms(2023)10.3390/microorganisms11051129Source: DataRank Database

Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology is a research paper published in Microorganisms (2023). On theSindex it has a DataRank of 0. It has been cited 51 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access51 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 7.48)OA: goldTopics (28)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Guangshun Wang ORCID,Malcolm Xing ORCID,Bingyun Li ORCID,Alexa Sowers ORCID

Live enrichment

PubMed:37317103 OpenAlex:https://openalex.org/W4367183093

National Institutes of Health

Grant: GM138552

National Institutes of Health

Grant: ES032920

National Institutes of Health

Grant: 5R01GM032920-04

OBSTETRIC ANALGESIA AND INFANT OUTCOME

National Institutes of Health

Grant: 1T32ES032920-01A1

Pre-doctoral Training in Systems Toxicology

National Institutes of Health

Grant: 5R01GM138552-02

Novel Janus-type Antimicrobial Dressings for the Treatment of Biofilms in Chronic Wounds

FWCI

7.48

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2076-2607/11/5/1129/pdf?version=1683519063

publisherhttps://www.mdpi.com/2076-2607/11/5/1129/pdf

journalhttps://doi.org/10.3390/microorganisms11051129

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37317103

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10223199

Fields of Study

Antimicrobial Peptides and ActivitiesBiochemical and Structural CharacterizationMachine Learning in Bioinformatics0301 basic medicine03 medical and health sciences

Keywords

Antimicrobial peptidesAntimicrobialNanotechnologyBiochemical engineeringComputer scienceChemistryEngineeringMaterials scienceBiologyMicrobiologyantibiotic resistanceantimicrobial peptideQH301-705.5LL-37Reviewpeptide databasepeptide designmachine learningMedical Microbiologydrug deliveryPathologypeptide engineeringBiology (General)