In one paragraphArticle in Journal of chemical information and modeling, 2026. 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 itWhat 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
11 authors.
Wenyuan WeiDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0009-0008-5146-8048 Roland Del MundoDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0009-0007-1702-2846 Tianyi YangDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0000-0002-0413-4167 Elizaveta MukhalevaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0000-0002-9911-7625 Indira R SivarajDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.
Veerabahu ShanmugasundaramBristol-Myers-Squibb, 250 Water Street, Cambridge, Massachusetts02141, United States.ORCID 0000-0003-0566-6779 Sergio BranciamoreDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.
Andrei S RodinDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.
Sivaraj SivaramakrishnanDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota55455, United States.ORCID 0000-0002-9541-6994 Ning MaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0000-0003-4653-7797 Nagarajan VaidehiDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, 1218 S 5th Ave, Monrovia, California91016, United States.ORCID 0000-0001-8100-8132 Funding
Emergent cellular functions of GPCRs and myosinsR35GM126940 · NIGMS · UNIVERSITY OF MINNESOTA · PI Sivaraj Sivaramakrishnan · 2018 to 2026
$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
$1.5MEmergent role of allostery on function of GPCRs and Trimeric G proteinsR35GM156498 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Nagarajan Vaidehi · 2025 to 2026
$890kDIABETES PREVENTION / RISK / OMICS / METABOLISM / THERAPY (PROMT) INTERDISCIPLINARY TRAININGT32DK131943 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RAMA NATARAJAN, Debbie C Thurmond · 2023 to 2026
$478kNIDDK NIH HHS T32 DK131943NIGMS NIH HHS R35 GM126940NIGMS NIH HHS R35 GM156498NLM NIH HHS R01 LM013876
6 · The paper itselfAbstract
The folded structure of a protein is understood to be an optimal energy state. However, previous studies have shown that certain amino acid residue positions that play a critical role in protein function are often in a suboptimal energy state or "frustrated". Here, we leverage over 1200 three-dimensional structures of G protein-coupled receptors (GPCRs) to demonstrate that residues at the interface between GPCR and its ligand or G protein contain a higher density of frustrated residues compared to other structural regions in the receptor. Likewise, the Gα subunit of the trimeric G proteins shows multiple clusters of highly frustrated residues on its surface that overlap with their effector protein (Gbγ, RGS, Adenylyl cyclase, Ric8) binding interfaces. Our study highlights the use of protein frustration as one of the multiple structural properties to identify protein-protein interfaces and for prospective prediction of potential ligand binding sites.
Indexed as
GTP-Binding ProteinsReceptors, G-Protein-CoupledAllosteric SiteCatalytic DomainHumansLigandsModels, MolecularProtein BindingProtein ConformationGTP-Binding ProteinsLigandsReceptors, G-Protein-Coupled
Identifiers
PMID42439392
PMCPMC13417876
What OpenQuestion holds
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LicenceCC BY-NC-ND
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