Computational design of highly signalling-active membrane receptors through solvent-mediated allosteric networks is a research paper published in Nature Chemistry (2025). On theSindex it has a DataRank of 0.411. It has been cited 10 times, with 7 citing works in its 1-hop citation network.
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Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.0509
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
Swiss National Science Foundation
Grant: 219859
Uncovering peptide-mediated chemokine receptor signal transduction mechanisms through deep-learning
NIGMS NIH HHS
Grant: R01 GM097207
NIGMS NIH HHS
Grant: T32 GM008280
Swiss National Science Foundation
Grant: 182263
Uncovering and Reprogramming G Protein-Coupled Receptor Selective Signaling
Swiss National Science Foundation
Grant: 208179
A general bottom-up platform for the rational design of multi-domain biosensors with programmable input-output behaviors
National Institutes of Health
Grant: 3T32GM008280-27S1
Houston Area Molecular Biophysics Program
National Institutes of Health
Grant: 5R01GM097207-02
Exploring Structure and Sequence Spaces of G Protein-Coupled Receptor Signaling
U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences
Eli Lilly and Company
Swiss National Science Foundation
FWCI
3.85
Citation Percentile
0.9%
Citation Trend
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