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Letting go: Deep computational modeling insights into pH-dependent calcium affinity

Journal of Biological Chemistry(2021)10.1016/j.jbc.2021.100974Source: DataRank Database

Letting go: Deep computational modeling insights into pH-dependent calcium affinity is a research paper published in Journal of Biological Chemistry (2021). On theSindex it has a DataRank of 0.

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Enrichment:Funding (3 grants)OA: goldTopics (25)IDs (PubMed, PMC)Annotations (1)

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Authors (1)

Matthias Buck ORCID

Live enrichment

PubMed:34280436 PMC:PMC8350533

National Institutes of Health

Grant: R01EY029169

National Institutes of Health

Grant: 5R01EY029169-03

Structure and function of plexin - co-receptor interactions

National Eye Institute

goldLicense: cc-by

publisherhttp://www.jbc.org/article/S0021925821007766/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0021925821007766?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0021925821007766?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8350533

Europe_PMChttps://europepmc.org/articles/PMC8350533

Fields of Study

0301 basic medicine03 medical and health sciences01 natural sciences0104 chemical sciences

MeSH Terms

CalciumLectins, C-TypeMannose-Binding LectinsAntigens, CDHydrogen-Ion Concentration

Keywords

Molecular dynamics simulationEndosomeLectin receptorAllosteryStructure–function RelationshipLangerinUnbinding ProcessProtein–calcium InteractionProtein–carbohydrate BindingProtein–ligand DissociationEditors' Pick HighlightMannose-Binding LectinsAntigens, CDCalciumLectins, C-TypeHydrogen-Ion Concentration

Letting go: Deep computational modeling insights into pH-dependent calcium affinity

FAIR Checklist

Authors (1)

Funding (3 grants)

Open Access

Topics

Annotations (Europe PMC)