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In Silico Design and Selection of CD44 Antagonists

Data Archiving and Networked Services (DANS)(2021)10.33612/diss.193912062Source: DataRank Database

In Silico Design and Selection of CD44 Antagonists is a research paper published in Data Archiving and Networked Services (DANS) (2021). On theSindex it has a DataRank of 0. It has been cited 1 time.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: goldTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Reusable (0/3)

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Authors (1)

Angel Ruiz Moreno

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4206369529

European Commission

Grant: 754425

Personalised Medicine in Diabetic Chronic Disease Management

European Commission

Grant: 675555

Accelerated Early staGe drug diScovery

National Institutes of Health

Grant: 2R01GM097082-05

Real-time discovery of inhibitors among billion compounds for preview and download

European Commission

Grant: 115489

European Lead Factory

goldLicense: public-domain

https://pure.rug.nl/ws/files/193912064/Complete_thesis.pdf

https://doi.org/10.33612/diss.193912062

repositoryhttps://research.rug.nl/en/publications/88150852-41a8-40c6-b3df-6a73296b0506

https://hdl.handle.net/11370/88150852-41a8-40c6-b3df-6a73296b0506

Fields of Study

Computational Drug Discovery MethodsSynthesis and biological activityvaccines and immunoinformatics approaches01 natural sciences0104 chemical sciences

Keywords

In silicoComputational biologyDocking (animal)Computer scienceDrug discoveryDrug designWorkflowBioinformaticsChemistryBiologyMedicineBiochemistry

Sustainable Development Goals

SDG 3: 3. Good health