In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
8 authors.
Babgen ManookianDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.ORCID 0000-0002-6273-0995 Elizaveta MukhalevaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.ORCID 0000-0002-9911-7625 Grigoriy GogoshinDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.
Supriyo BhattacharyaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.ORCID 0000-0003-0483-2149 Sivaraj SivaramakrishnanDepartment of Genetics, Cell and Developmental Biology, University of Minnesota; Minneapolis, MN, USA.ORCID 0000-0002-9541-6994 Nagarajan VaidehiDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.ORCID 0000-0001-8100-8132 Andrei S RodinDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.
Sergio BranciamoreDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope; Duarte, CA, USA.ORCID 0000-0002-2556-8765 Funding
Structural dynamics underlying GPCR-G protein selectivityR01GM117923 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2017 to 2024
$3.8MAn integrated toolkit combining computational systems biology techniques with molecular dynamics simulations to delineate functionality of GPCRsR01LM013876 · NLM · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RODIN, ANDREI, VAIDEHI, NAGARAJAN · 2022 to 2025
$1.5MScalable Bayesian Network analysis of multimodal FACS and SUMOylation data, with generalization to other big mixed biological datasetsR01LM013138 · NLM · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RODIN, ANDREI · 2020 to 2022
$776kNIGMS NIH HHS R01 GM117923NLM NIH HHS R01 LM013138NLM NIH HHS R01 LM013876
6 · The paper itselfAbstract
Identifying target-specific drugs remains a challenge in pharmacology, especially for highly homologous proteins such as dopamine receptors D
Identifiers
PMID40166135
PMCPMC11957019
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