On the public citation graph
A Distance Function for Retrieval of Active Molecules from Complex Chemical Space Representations
0 signed · 33 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1021/ci0203848openalex-snapshot
Recursive Median Partitioning for Virtual Screening of Large Databases
inferredcites →https://doi.org/10.1021/ci025620topenalex-snapshot
Active Learning with Support Vector Machines in the Drug Discovery Process
inferredcites →https://doi.org/10.1021/ci0302963openalex-snapshot
Molecular Similarity Analysis and Virtual Screening by Mapping of Consensus Positions in Binary-Transformed Chemical Descriptor Spaces with Variable Dimensionality
inferredcites →https://doi.org/10.1021/ci980137xopenalex-snapshot
Metric Validation and the Receptor-Relevant Subspace Concept
inferredcites →https://doi.org/10.1021/jm0493515openalex-snapshot
Hit-Directed Nearest-Neighbor Searching
inferredcites →https://doi.org/10.1038/nrd791openalex-snapshot
Combinatorial informatics in the post-genomics era
inferredcites →https://doi.org/10.1038/nrd941openalex-snapshot
Integration of virtual and high-throughput screening
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470567623.ch4openalex-snapshot
Data Mining Approaches for Compound Selection and Iterative Screening
inferred← citeshttps://doi.org/10.1002/9783527645121.ch8openalex-snapshot
Statistical Methods for Predicting Compound Recovery Rates for Ligand‐Based Virtual Screening and Assessing the Probability of Activity
inferred← citeshttps://doi.org/10.1002/cmdc.200700090openalex-snapshot
Introduction of a Generally Applicable Method to Estimate Retrieval of Active Molecules for Similarity Searching using Fingerprints
inferred← citeshttps://doi.org/10.1002/cmdc.200800290openalex-snapshot
Similarity‐Based Virtual Screening with a Bayesian Inference Network
inferred← citeshttps://doi.org/10.1002/cmdc.200900145openalex-snapshot
Discovery of Ligands for the Human Intestinal Di‐/Tripeptide Transporter (hPEPT1) Using a QSAR‐Assisted Virtual Screening Strategy
inferred← citeshttps://doi.org/10.1007/s10822-007-9166-3openalex-snapshot
How to do an evaluation: pitfalls and traps
inferred← citeshttps://doi.org/10.1016/j.drudis.2007.01.011openalex-snapshot
Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00375openalex-snapshot
Investigating Pharmacological Similarity by Charting Chemical Space
inferred← citeshttps://doi.org/10.1021/ci200043zopenalex-snapshot
G-Protein Coupled Receptors Virtual Screening Using Genetic Algorithm Focused Chemical Space
inferred← citeshttps://doi.org/10.1021/ci600280bopenalex-snapshot
Bayesian Interpretation of a Distance Function for Navigating High-Dimensional Descriptor Spaces
inferred← citeshttps://doi.org/10.1021/ci600342eopenalex-snapshot
Optimizing Fragment and Scaffold Docking by Use of Molecular Interaction Fingerprints
inferred← citeshttps://doi.org/10.1021/ci600418uopenalex-snapshot
Introduction of an Information-Theoretic Method to Predict Recovery Rates of Active Compounds for Bayesian in Silico Screening: Theory and Screening Trials
inferred← citeshttps://doi.org/10.1021/ci6005432openalex-snapshot
Analysis of a High-Throughput Screening Data Set Using Potency-Scaled Molecular Similarity Algorithms
inferred← citeshttps://doi.org/10.1021/ci700099uopenalex-snapshot
Impact of Benchmark Data Set Topology on the Validation of Virtual Screening Methods: Exploration and Quantification by Spatial Statistics
inferred← citeshttps://doi.org/10.1021/ci700333topenalex-snapshot
Bayesian Similarity Searching in High-Dimensional Descriptor Spaces Combined with Kullback-Leibler Descriptor Divergence Analysis
inferred← citeshttps://doi.org/10.1039/9781847558879-00182openalex-snapshot
Probabilistic Approaches in Activity Prediction
inferred← citeshttps://doi.org/10.1039/c0md00020eopenalex-snapshot
Chemical space as a source for new drugs
inferred← citeshttps://doi.org/10.1093/bib/bbp023openalex-snapshot
Recent advances in computer-aided drug design
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2007.00602.xopenalex-snapshot
Bayesian Screening for Active Compounds in High‐dimensional Chemical Spaces Combining Property Descriptors and Molecular Fingerprints
inferred← citeshttps://doi.org/10.1146/annurev-matsci-070214-020823openalex-snapshot
What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery
inferred← citeshttps://doi.org/10.1517/17460441.3.8.853openalex-snapshot
Virtual screening of the estrogen receptor
inferred← citeshttps://doi.org/10.4018/978-1-61520-911-8.ch010openalex-snapshot
Virtual Screening Methods Based on Bayesian Statistics
inferred← citeshttps://doi.org/10.70675/763f9808zf2fez469ezba2cz56622b867580openalex-snapshot
Chimiothèque : vers une approche rationnelle pour la sélection de sous-chimiothèques
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.