On the public citation graph
Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns
0 signed · 43 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/pl00011662openalex-snapshot
Making Use of the Most Expressive Jumping Emerging Patterns for Classification
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.tcs.2004.12.014openalex-snapshot
On the complexity of finding emerging patterns
inferredcites →https://doi.org/10.1021/ci0001482openalex-snapshot
Selected Concepts and Investigations in Compound Classification, Molecular Descriptor Analysis, and Virtual Screening
inferredcites →https://doi.org/10.1021/ci030285+openalex-snapshot
Design and Evaluation of a Molecular Fingerprint Involving the Transformation of Property Descriptor Values into a Binary Classification Scheme
inferredcites →https://doi.org/10.1021/ci300254wopenalex-snapshot
Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining
inferredcites →https://doi.org/10.1021/ci600301topenalex-snapshot
Emerging Chemical Patterns: A New Methodology for Molecular Classification and Compound Selection
inferredcites →https://doi.org/10.1021/ci8001793openalex-snapshot
Distinguishing between Bioactive and Modeled Compound Conformations through Mining of Emerging Chemical Patterns
inferredcites →https://doi.org/10.1021/ci900419kopenalex-snapshot
Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation
inferredcites →https://doi.org/10.1021/ci9903049openalex-snapshot
Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning
inferredcites →https://doi.org/10.1023/b:mach.0000011804.08528.7dopenalex-snapshot
DeEPs: A New Instance-Based Lazy Discovery and Classification System
inferredcites →https://doi.org/10.1039/c2md00281gopenalex-snapshot
Mechanism-based bipartite matching molecular series graphs to identify structural modifications of receptor ligands that lead to mechanism hopping
inferredcites →https://doi.org/10.1093/bioinformatics/18.5.725openalex-snapshot
Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/icdm.2003.1250958openalex-snapshot
A fast algorithm for computing hypergraph transversals and its application in mining emerging patterns
inferredcites →https://doi.org/10.2174/157340608783331452openalex-snapshot
Simulation of Sequential Screening Experiments Using Emerging Chemical Patterns
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/7653_2018_23openalex-snapshot
Computational Multi-Target Drug Design
inferred← citeshttps://doi.org/10.1007/s11030-015-9571-9openalex-snapshot
Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway
inferred← citeshttps://doi.org/10.1016/b978-0-12-820472-6.00017-7openalex-snapshot
Systems Pharmacology: Enabling Multidimensional Therapeutics
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.06.017openalex-snapshot
Emerging chemical patterns applied to prediction of P-glycoprotein inhibitors
inferred← citeshttps://doi.org/10.1016/j.chemolab.2014.08.006openalex-snapshot
Mapping networks of anti-HIV drug cocktails vs. AIDS epidemiology in the US counties
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2016.02.022openalex-snapshot
Prediction and characterization of P-glycoprotein substrates potentially bound to different sites by emerging chemical pattern and hierarchical cluster analysis
inferred← citeshttps://doi.org/10.1016/j.neuropharm.2015.12.019openalex-snapshot
Brain-inspired cheminformatics of drug-target brain interactome, synthesis, and assay of TVP1022 derivatives
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00198openalex-snapshot
Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00444openalex-snapshot
Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.7b01890openalex-snapshot
The Pharmacophore Network: A Computational Method for Exploring Structure–Activity Relationships from a Large Chemical Data Set
inferred← citeshttps://doi.org/10.1021/ci400597dopenalex-snapshot
Prediction of Individual Compounds Forming Activity Cliffs Using Emerging Chemical Patterns
inferred← citeshttps://doi.org/10.1021/ci400716yopenalex-snapshot
ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks
inferred← citeshttps://doi.org/10.1021/ci500147bopenalex-snapshot
Prediction of Compounds in Different Local Structure–Activity Relationship Environments Using Emerging Chemical Patterns
inferred← citeshttps://doi.org/10.1021/ci5001828openalex-snapshot
Emerging Pattern Mining To Aid Toxicological Knowledge Discovery
inferred← citeshttps://doi.org/10.1039/c4tx00071dopenalex-snapshot
New structural alerts for Ames mutagenicity discovered using emerging pattern mining techniques
inferred← citeshttps://doi.org/10.1186/s13040-016-0098-0openalex-snapshot
Machine learning algorithms for mode-of-action classification in toxicity assessment
inferred← citeshttps://doi.org/10.1201/9781315368863-12openalex-snapshot
High-Order Perturbation Theory Models of Drug-Target Interactomes for Proteins Expressed on Networks of Hippocampus Brain Region of Alzheimer Disease Patients
inferred← citeshttps://doi.org/10.12688/f1000research.3713.1openalex-snapshot
Compound data sets and software tools for chemoinformatics and medicinal chemistry applications: update and data transfer
inferred← citeshttps://doi.org/10.2174/1574893610666151008013413openalex-snapshot
MI-NODES Multiscale Models of Metabolic Reactions, Brain Connectome, Ecological, Epidemic, World Trade, and Legal-Social Networks
inferred← citeshttps://doi.org/10.2200/s00897ed1v01y201901dmk016openalex-snapshot
Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems
inferred← citeshttps://doi.org/10.3390/ijms150917035openalex-snapshot
Prediction of Multi-Target Networks of Neuroprotective Compounds with Entropy Indices and Synthesis, Assay, and Theoretical Study of New Asymmetric 1,2-Rasagiline Carbamates
inferred← citeshttps://doi.org/10.70675/ccd11e7cz12bdz4d2dzabb0zf0a2ebfd2662openalex-snapshot
Conception, synthèse et évaluation biologique de nouvelles molécules hétérocycliques hybrides multi-cibles
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.