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Using machine learning to dissect host kinases required for Leishmania internalization and development

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.16.593986Source: DataRank Database

Using machine learning to dissect host kinases required for Leishmania internalization and development is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Umaru Barrie ORCID,Gina M. Aloisio ORCID,Francis Tho Huu Khuong ORCID,Nadia Arang ORCID,Arani Datta ORCID

Live enrichment

PubMed:38798624 OpenAlex:https://openalex.org/W4397013817

NIGMS NIH HHS

Grant: T32 GM008014

NIGMS NIH HHS

Grant: R01 GM101183

NIH HHS

Grant: S10 OD018005

NIAID NIH HHS

Grant: K08 AI103036

NIAID NIH HHS

Grant: R01 AI146349

greenLicense: cc-by-nc-nd

repositoryhttps://doi.org/10.1101/2024.05.16.593986

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.05.16.593986

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38798624

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11118464

Fields of Study

Research on Leishmaniasis StudiesToxin Mechanisms and ImmunotoxinsInsect and Pesticide Research

Keywords

InternalizationHost (biology)LeishmaniaKinaseBiologyCell biologyComputational biologyComputer scienceGeneticsWorld Wide WebCellParasite hostingFc receptorcomplement receptorkinase regressionphagocytosisphosphosignaling

Sustainable Development Goals

SDG 0: Responsible consumption and production