Evidence map›Paper›PMID 34214998›Full record

ReviewThrombosis and haemostasis2021

Uncovering Membrane-Bound Models of Coagulation Factors by Combined Experimental and Computational Approaches.

Y Zenmei Ohkubo, Jesper J Madsen

Open access · hybridAbstract readReview
In one paragraph

Review in Thrombosis and haemostasis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Y Zenmei OhkuboDepartment of Bioinformatics, School of Life and Natural Sciences, Abdullah Gül University, Kayseri, Turkey.
Jesper J MadsenGlobal and Planetary Health, College of Public Health, University of South Florida, Tampa, Florida, United States.ORCID 0000-0003-1411-9080
Abdullah Gül University · TRUniversity of South Florida · US

Funding

TSA-2017-90 Abdullah Gül Üniversitesi Bilimsel Araştırma Projeleri
6 · The paper itself

Abstract

In the life sciences, including hemostasis and thrombosis, methods of structural biology have become indispensable tools for shedding light on underlying mechanisms that govern complex biological processes. Advancements of the relatively young field of computational biology have matured to a point where it is increasingly recognized as trustworthy and useful, in part due to their high space-time resolution that is unparalleled by most experimental techniques to date. In concert with biochemical and biophysical approaches, computational studies have therefore proven time and again in recent years to be key assets in building or suggesting structural models for membrane-bound forms of coagulation factors and their supramolecular complexes on membrane surfaces where they are activated. Such endeavors and the proposed models arising from them are of fundamental importance in describing and understanding the molecular basis of hemostasis under both health and disease conditions. We summarize the body of work done in this important area of research to drive forward both experimental and computational studies toward new discoveries and potential future therapeutic strategies.

Indexed as

Blood CoagulationBlood Coagulation FactorsCell MembraneComputational BiologyComputer SimulationHemostasisHumansMembrane LipidsModels, BiologicalMolecular Dynamics SimulationPhosphatidylserinesProtein DomainsSoftwareThromboplastinThrombosisBlood Coagulation FactorsMembrane LipidsPhosphatidylserinesThromboplastin

Identifiers

PMID34214998
PMCPMC8432591
OpenAlexW3174058094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.