Evidence map›Paper›PMID 39520544›Full record

ArticleBioinformatics (Oxford, England)2024

BindCompare: a novel integrated protein-nucleic acid binding analysis platform.

Pranav Mahableshwarkar, Jasmine Shum, Mukulika Ray, Erica Larschan

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Pranav MahableshwarkarMolecular Biology, Cell Biology, & Biochemistry Department, Brown University, Providence, RI, 02912, United States.
Jasmine ShumMolecular Biology, Cell Biology, & Biochemistry Department, Brown University, Providence, RI, 02912, United States.
Mukulika RayMolecular Biology, Cell Biology, & Biochemistry Department, Brown University, Providence, RI, 02912, United States.ORCID 0000-0002-9064-818X
Erica LarschanMolecular Biology, Cell Biology, & Biochemistry Department, Brown University, Providence, RI, 02912, United States.

Funding

Establishment of Active Chromatin DomainsR35GM126994 · NIGMS · BROWN UNIVERSITY · PI LARSCHAN, ERICA NICOLE · 2018 to 2022
$2.0M
Gene Regulation in Memory Circuits as a Consequence of Polysubstance UseR01DA058947 · NIDA · BROWN UNIVERSITY · PI Karla R. Kaun, Erica Nicole Larschan · 2023 to 2026
$2.0M
Coregulation of genes by pioneer transcription factors and noncoding RNAsR35GM153389 · NIGMS · BROWN UNIVERSITY · PI Erica Nicole Larschan · 2024 to 2026
$1.5M
NIDA NIH HHS R01 DA058947NIGMS NIH HHS R35 GM126994NIGMS NIH HHS R35 GM153389NIH HHS R35 GM126994
6 · The paper itself

Abstract

summaryAdvanced genomic technologies have generated thousands of protein-nucleic acid binding datasets that have the potential to identify testable gene regulatory network (GRNs) models governed by combinatorial associations between factors. Transcription factors (TFs), and RNA binding proteins (RBPs) are nucleic-acid binding proteins regulating gene expression and are key drivers of GRN function. However, the combinatorial mechanisms by which the interactions between specific TFs and RBPs regulate gene expression remain largely unknown. To identify possible combinations of TFs and RBPs that may function together, developing a tool that compares and contrasts the interactions of multiple TFs and RBPs with nucleic acids to identify their common and unique targets is necessary. Therefore, we introduce BindCompare, a user-friendly tool that can be run locally to predict new combinatorial relationships between TFs and RBPs. BindCompare can analyze data from any organism with known annotated genome information and outputs files with detailed genomic locations and gene information for targets for downstream analysis. Overall, BindCompare is a new tool that identifies TFs and RBPs that co-bind to the same DNA and/or RNA loci, generating testable hypotheses about their combinatorial regulation of target genes. AVAILABILITY AND IMPLEMENTATION: BindCompare is an open-source package that is available on the Python Packaging Index (PyPI, https://pypi.org/project/bindcompare/) with the source code available on GitHub (https://github.com/pranavmahabs/bindcompare). Complete documentation for the package can be found at both links.

Indexed as

RNA-Binding ProteinsSoftwareTranscription FactorsBinding SitesComputational BiologyDNA-Binding ProteinsGene Regulatory NetworksNucleic AcidsProtein BindingDNA-Binding ProteinsNucleic AcidsRNA-Binding ProteinsTranscription Factors

Identifiers

PMID39520544
PMCPMC11585304

What OpenQuestion holds

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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.