About: Veronika Zarnitsyna

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher

Attributes	Values
rdf:type	Item
description	forskare (sv) researcher (en) 연구원 (ko) 研究者 (ja) araştırmacı (tr) дослідниця (uk) эрдэмтэн (mn) изилдөөчү (ky) 研究者 (zh) հետազոտող (hy) onderzoeker (nl)
rdfs:label	Veronika Zarnitsyna (en) Veronika Zarnitsyna (es) Veronika Zarnitsyna (nl) Veronika Zarnitsyna (ast)
skos:prefLabel	Veronika Zarnitsyna (en) Veronika Zarnitsyna (es) Veronika Zarnitsyna (nl) Veronika Zarnitsyna (ast)
name	Veronika Zarnitsyna (en) Veronika Zarnitsyna (es) Veronika Zarnitsyna (nl) Veronika Zarnitsyna (ast)
LinkedIn personal profile ID	wds:Q56766137-7EC12C68-DE76-4C84-8939-28DF958AE3C7
LinkedIn personal profile ID	veronika-zarnitsyna-5488004
given name	wds:Q56766137-B783623C-2554-49E0-9D3F-0302AA90FB19
given name	Veronika
instance of	wds:Q56766137-D5519FEC-E029-45A9-B1FA-B15A0632A370
instance of	Homo sapiens
zbMATH author ID	wds:Q56766137-D9E46533-1466-44E1-A722-2A4D823040A6
zbMATH author ID	zarnitsyna.veronika
ResearchGate profile ID	wds:Q56766137-94608EEC-DF90-46F5-B7CD-AB74EC4BF200
ResearchGate profile ID	Veronika_Zarnitsyna
Google Scholar author ID	wds:Q56766137-99265044-0880-4EB3-969B-6D5C3FE1B018
Google Scholar author ID	sVkaHRIAAAAJ
occupation	wds:Q56766137-58FE0905-921A-4BBD-BBB8-783DD8B209FB
employer	wds:Q56766137-18D06235-0DEA-49A8-98DC-FE9FC5F42ABD wds:Q56766137-4D6CDD51-41A6-46D9-A04B-9B384FBB5267
participant in	wds:Q56766137-7EDA89E4-C2DB-48D3-B7B3-EB63FF059F00 wds:Q56766137-D210204E-4434-43FB-83C3-322C0D92651C wds:Q56766137-EA584A0A-9844-40CC-A6EC-13F70B922DE0
sex or gender	wds:Q56766137-5AEC1F2E-EBEC-4F47-83C3-3D48966BA96F
maintained by WikiProject	wds:Q56766137-4FD4A35A-E0F0-41FC-87A7-B47BD3163A74
email address	wds:Q56766137-1DD9D615-80A5-4BFA-9C67-87FAB2148C0A wds:Q56766137-A08E300C-DE1F-4F61-B4E6-EDB6DA469E94
occupation	researcher
employer	Emory University Emory University - Briarcliffe Campus
participant in	Midas Conference 2015 Midas Conference 2016 Midas Conference 2018
sex or gender	female organism
maintained by WikiProject	WikiProject Mathematics
email address	mailto:veronika.i.zarnitsyna@emory.edu mailto:veronika.zarnitsyna@gmail.com
ORCID iD	wds:Q56766137-8015662F-376C-498C-8A23-B091DCE5666C
ORCID iD	https://orcid.org/0000-0003-3096-3695
ORCID iD	0000-0003-3096-3695
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56766137
is author of	Accumulation of serial forces on TCR and CD8 frequently applied by agonist antigenic peptides embedded in MHC molecules triggers calcium in T cells Flow-enhanced adhesion regulated by a selectin interdomain hinge. Mechanisms for flow-enhanced cell adhesion Memory in receptor-ligand-mediated cell adhesion The kinetics of two-dimensional TCR and pMHC interactions determine T-cell responsiveness. Tissue factor pathway inhibitor: a possible mechanism of action. Estimating the diversity, completeness, and cross-reactivity of the T cell repertoire Insights from in situ analysis of TCR-pMHC recognition: response of an interaction network Transport governs flow-enhanced cell tethering through L-selectin at threshold shear. Ligand-engaged TCR is triggered by Lck not associated with CD8 coreceptor P-selectin glycoprotein ligand-1 forms dimeric interactions with E-selectin but monomeric interactions with L-selectin on cell surfaces Measuring Receptor-Ligand Binding Kinetics on Cell Surfaces: From Adhesion Frequency to Thermal Fluctuation Methods. Adhesion frequency assay for in situ kinetics analysis of cross-junctional molecular interactions at the cell-cell interface. Regulation of catch bonds by rate of force application Masking of antigenic epitopes by antibodies shapes the humoral immune response to influenza T cell triggering: insights from 2D kinetics analysis of molecular interactions Measuring diffusion and binding kinetics by contact area FRAP. A coupled diffusion-kinetics model for analysis of contact-area FRAP experiment Multi-epitope Models Explain How Pre-existing Antibodies Affect the Generation of Broadly Protective Responses to Influenza Exploring the impact of inoculum dose on host immunity and morbidity to inform model-based vaccine design Binary Time Series Modeling with Application to Adhesion Frequency Experiments [Consideration of a priori information and type of an experimental error using the method of system identification based on the minimal quadratic discrepancy criterion] Insights into T cell recognition of antigen: significance of two-dimensional kinetic parameters A mathematical model for the spatio-temporal dynamics of intrinsic pathway of blood coagulation. I. The model description. How sticky should a virus be? The impact of virus binding and release on transmission fitness using influenza as an example Mathematical Model Reveals the Role of Memory CD8 T Cell Populations in Recall Responses to Influenza. Why Are CD8 T Cell Epitopes of Human Influenza A Virus Conserved? Intermediate levels of vaccination coverage may minimize seasonal influenza outbreaks. Dynamics and turnover of memory CD8 T cell responses following yellow fever vaccination Antibody Persistence through 6 Months after the Second Dose of mRNA-1273 Vaccine for Covid-19
is author of	wds:Q30441797-DB7E52FE-53CA-4D33-A080-95A6957DD17E wds:Q34603261-4053C08F-66B9-483A-B195-EC707A82455E wds:Q81693155-99CA6012-2F2E-4124-AA47-381733BF0F7E wds:Q33874701-2C4513AD-CA63-4739-A720-142FEEFABADD wds:Q33357547-3E495DF8-5040-4204-BAAF-93A24701FDD2 wds:Q34589911-9E2F7400-5DB0-4DDB-B2A5-882920361131 wds:Q36515364-8C63B911-014E-43FC-92E3-2D532F1107F8 wds:Q28243725-6ACAFDE7-41CF-4330-BDF1-B0D1788F1D74 wds:Q38032705-BEC66011-0A65-486D-A1BB-6B2F88281636 wds:Q64063770-FA76A9F0-30DC-4602-8B8F-EB41089BA9E4

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