Evidence map›Paper›PMID 35615022›Full record

ArticleComputational and structural biotechnology journal2022

OncoboxPD: human 51 672 molecular pathways database with tools for activity calculating and visualization.

Marianna A Zolotovskaia, Victor S Tkachev, Anastasia A Guryanova, Alexander M Simonov, Mikhail M Raevskiy, Victor V Efimov, Ye Wang, Marina I Sekacheva, Andrew V Garazha, Nicolas M Borisov and 3 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 52 citations in OpenAlex.

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  16. In Silico Drug Repurposing in Multiple Sclerosis Using scRNA-Seq Data.International journal of molecular sciences · 2023
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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

13 authors at 3 institutions in 3 countries.

Marianna A ZolotovskaiaOmicsway Corp., Walnut, CA 91789, USA.
Victor S TkachevOmicsway Corp., Walnut, CA 91789, USA.
Anastasia A GuryanovaOmicsway Corp., Walnut, CA 91789, USA.
Alexander M SimonovWorld-Class Research Center "Digital biodesign and personalized healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.
Mikhail M RaevskiyWorld-Class Research Center "Digital biodesign and personalized healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.
Victor V EfimovWorld-Class Research Center "Digital biodesign and personalized healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.
Ye WangClinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China.
Marina I SekachevaWorld-Class Research Center "Digital biodesign and personalized healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.
Andrew V GarazhaOmicsway Corp., Walnut, CA 91789, USA.
Nicolas M BorisovMoscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, 141701, Russia.
Denis V KuzminMoscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, 141701, Russia.
Maxim I SorokinOmicsway Corp., Walnut, CA 91789, USA.
Anton A BuzdinMoscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, 141701, Russia.
Moscow Institute of Physics and Technology · RUSechenov University · RUQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OncoboxPD (Oncobox pathway databank) available at https://open.oncobox.com is the collection of 51 672 uniformly processed human molecular pathways. Superposition of all pathways formed interactome graph of protein-protein interactions and metabolic reactions containing 361 654 interactions and 64 095 molecular participants. Pathways are uniformly classified by biological processes, and each pathway node is algorithmically functionally annotated by specific activator/repressor role. This enables online calculation of statistically supported pathway activation levels (PALs) with the built-in bioinformatic tool using custom RNA/protein expression profiles. Each pathway can be visualized as static or dynamic graph, where vertices are molecules participating in a pathway and edges are interactions or reactions between them. Differentially expressed nodes in a pathway can be visualized in two-color mode with user-defined color scale. For every comparison, OncoboxPD also generates a graph summarizing top up- and downregulated pathways.

Indexed as

ARR, activation/repressor role coefficientBEL, Biological Expression LanguageInteractomicsKEGG, Kyoto Encyclopedia of Genes and GenomesMetabolomicsMolecular pathway databasePAL, pathway activation levelPathway activation levelPathway visualizationProtein–protein interactionsSPIKE, Signaling Pathways Integrated Knowledge EngineSPOKE, Scalable Precision Medicine Open Knowledge EngineVM, virtual machine

Identifiers

PMID35615022
PMCPMC9120235
OpenAlexW4229458666

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.