On the public citation graph
Check Your Confidence: Size Really Does Matter
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02294183openalex-snapshot
Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations
inferredcites →https://doi.org/10.1016/j.drudis.2009.01.012openalex-snapshot
Healthy skepticism: assessing realistic model performance
inferredcites →https://doi.org/10.1021/ci200082topenalex-snapshot
CSAR Benchmark Exercise of 2010: Selection of the Protein–Ligand Complexes
inferredcites →https://doi.org/10.1021/ci200269qopenalex-snapshot
CSAR Benchmark Exercise of 2010: Combined Evaluation Across All Submitted Scoring Functions
inferredcites →https://doi.org/10.1021/jm300131xopenalex-snapshot
The Experimental Uncertainty of Heterogeneous Public Ki Data
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1371/journal.pone.0061007openalex-snapshot
Comparability of Mixed IC50 Data – A Statistical Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jmr.2471openalex-snapshot
Improvements, trends, and new ideas in molecular docking: 2012–2013 in review
inferred← citeshttps://doi.org/10.1007/s10822-017-0038-1openalex-snapshot
Improving binding mode and binding affinity predictions of docking by ligand-based search of protein conformations: evaluation in D3R grand challenge 2015
inferred← citeshttps://doi.org/10.1021/acs.jcim.0c00358openalex-snapshot
Decisions with Confidence: Application to the Conformation Sampling of Molecules in the Solid State
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c01214openalex-snapshot
The Impact of Experimental and Calculated Error on the Performance of Affinity Predictions
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00523openalex-snapshot
CSAR 2014: A Benchmark Exercise Using Unpublished Data from Pharma
inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00182openalex-snapshot
Lessons Learned over Four Benchmark Exercises from the Community Structure–Activity Resource
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b00214openalex-snapshot
Revisiting the Relationship Between Correlation Coefficient, Confidence Level, and Sample Size
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.0c00163openalex-snapshot
Chemists: AI Is Here; Unite To Get the Benefits
inferred← citeshttps://doi.org/10.1021/ci500080qopenalex-snapshot
Comparative Assessment of Scoring Functions on an Updated Benchmark: 1. Compilation of the Test Set
inferred← citeshttps://doi.org/10.1039/d5cp03537fopenalex-snapshot
Impact of the halogen PB radii in the estimation of protein–ligand binding energies using MM-PBSA calculations
inferred← citeshttps://doi.org/10.3389/fphar.2018.01089openalex-snapshot
Empirical Scoring Functions for Structure-Based Virtual Screening: Applications, Critical Aspects, and Challenges
inferred← citeshttps://doi.org/10.3390/pr11072100openalex-snapshot
Production and Characterization of Kombucha Tea from Different Sources of Tea and Its Kinetic Modeling
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