Detecting distant-homology protein structures by aligning deep neural-network based contact maps is a research paper published in PLOS Computational Biology (2019). On theSindex it has a DataRank of 2.2. It has been cited 57 times, with 47 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.609
From this paper's citation signal
Citation Network Contribution
1.6
From 37 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 47 citers.
National Institute of General Medical Sciences
Grant: GM083107
National Institute of General Medical Sciences
Grant: GM116960
National Institute of Allergy and Infectious Diseases
Grant: AI134678
National Science Foundation
Grant: DBI1564756
NIGMS NIH HHS
Grant: R01 GM116960
NIAID NIH HHS
Grant: R01 AI134678
NCI NIH HHS
Grant: T32 CA140044
NIGMS NIH HHS
Grant: R01 GM083107
National Institutes of Health
Grant: 5R01GM116960-04
Template-based docking refinement approach to protein-protein structure modeling
National Institutes of Health
Grant: 5R01AI134678-03
Structure-based functional annotation of microbial genomes
National Science Foundation
Grant: 1901191
III: Medium: Collaborative Research: Multi-level computational approaches to protein function prediction
National Institutes of Health
Grant: 1R01GM083107-01A1
I-TASSER based atomic-level protein structure prediction
FWCI
3.40
Citation Percentile
0.9%
Citation Trend
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