On the public citation graph
Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks
0 signed · 42 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known work and none has been retracted — and get a dated CiteStamped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/10.1016/s0166-1280(00)00366-3openalex-snapshot
Artificial neural network applied to the discrimination of antibacterial activity by topological methods
inferredcites →https://doi.org/10.1016/s1093-3263(01)00103-6openalex-snapshot
General topological patterns of known drugs
inferredcites →https://doi.org/10.1016/s1093-3263(02)00184-5openalex-snapshot
Discrimination and selection of new potential antibacterial compounds using simple topological descriptors
inferredcites →https://doi.org/10.1021/ci0003810openalex-snapshot
Improving the Odds in Discriminating “Drug-like” from “Non Drug-like” Compounds
inferredcites →https://doi.org/10.1021/ed064p575openalex-snapshot
Molecular structure: Property relationships
inferredcites →https://doi.org/10.1021/jm970666copenalex-snapshot
Can We Learn To Distinguish between “Drug-like” and “Nondrug-like” Molecules?
inferredcites →https://doi.org/10.1021/jm9706776openalex-snapshot
A Scoring Scheme for Discriminating between Drugs and Nondrugs
inferredcites →https://doi.org/10.1021/jm980448zopenalex-snapshot
Artificial Neural Network Applied to Prediction of Fluorquinolone Antibacterial Activity by Topological Methods
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.2174/0929867013371923openalex-snapshot
Recent Advances on the Role of Topological Indices in Drug Discovery Research
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/adsc.200404067openalex-snapshot
Highly Enantioselective Synthesis of Secondary Alcohols using Triphenylborane
inferred← citeshttps://doi.org/10.1002/chin.200352238openalex-snapshot
Drugs and Nondrugs: An Effective Discrimination with Topological Methods and Artificial Neural Networks.
inferred← citeshttps://doi.org/10.1007/978-3-642-04031-3_29openalex-snapshot
Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds
inferred← citeshttps://doi.org/10.1007/s10910-008-9489-xopenalex-snapshot
Multi-objective simultaneous prediction of waterborne coating properties
inferred← citeshttps://doi.org/10.1007/s11030-005-9007-zopenalex-snapshot
True prediction of lowest observed adverse effect levels
inferred← citeshttps://doi.org/10.1007/s11030-006-8697-1openalex-snapshot
Molecular similarity and diversity in chemoinformatics: From theory to applications
inferred← citeshttps://doi.org/10.1016/b978-1-68108-198-4.50012-6openalex-snapshot
Recent Advances in the Assessment of Druglikeness Using 2D-Structural Descriptors
inferred← citeshttps://doi.org/10.1016/j.drudis.2006.07.002openalex-snapshot
Modern agrochemical research: a missed opportunity for drug discovery?
inferred← citeshttps://doi.org/10.1016/j.saa.2006.01.014openalex-snapshot
Analysis of ultraviolet absorption spectrum of Chinese herbal medicine–Cortex Fraxini by double ANN
inferred← citeshttps://doi.org/10.1016/s1359-6446(05)03703-7openalex-snapshot
Computational chemistry-driven decision making in lead generation
inferred← citeshttps://doi.org/10.1016/s1741-8364(04)02402-3openalex-snapshot
Using artificial neural networks to drive virtual screening of combinatorial libraries
inferred← citeshttps://doi.org/10.1021/ci030340eopenalex-snapshot
Artificial Neural Networks and Linear Discriminant Analysis: A Valuable Combination in the Selection of New Antibacterial Compounds
inferred← citeshttps://doi.org/10.1021/ci049702oopenalex-snapshot
“In-House Likeness”: Comparison of Large Compound Collections Using Artificial Neural Networks
inferred← citeshttps://doi.org/10.1021/ci050480jopenalex-snapshot
Can ‘Bacterial-Metabolite-Likeness' Model Improve Odds of ‘in Silico' Antibiotic Discovery?
inferred← citeshttps://doi.org/10.1021/ci600329uopenalex-snapshot
Separating Drugs from Nondrugs: A Statistical Approach Using Atom Pair Distributions
inferred← citeshttps://doi.org/10.1021/ci700351yopenalex-snapshot
Gradual in Silico Filtering for Druglike Substances
inferred← citeshttps://doi.org/10.1021/ci9000458openalex-snapshot
FOG: Fragment Optimized Growth Algorithm for the de Novo Generation of Molecules Occupying Druglike Chemical Space
inferred← citeshttps://doi.org/10.1021/co2000168openalex-snapshot
Atom Type Preferences, Structural Diversity, and Property Profiles of Known Drugs, Leads, and Nondrugs: A Comparative Assessment
inferred← citeshttps://doi.org/10.1080/10629360600884462openalex-snapshot
Collection and preparation of molecular databases for virtual screening
inferred← citeshttps://doi.org/10.1080/10659360500036927openalex-snapshot
Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals
inferred← citeshttps://doi.org/10.1093/bioinformatics/bti314openalex-snapshot
Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates
inferred← citeshttps://doi.org/10.1252/jcej.37.523openalex-snapshot
Proposal of Reliability Index in Search for Reliable Solutions of Reverse Calculation Based on Fuzzy Neural Network Modeling
inferred← citeshttps://doi.org/10.1504/ijcbdd.2008.021416openalex-snapshot
Consensual classification of drug and nondrug compounds
inferred← citeshttps://doi.org/10.1504/ijcbdd.2008.022212openalex-snapshot
Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms
inferred← citeshttps://doi.org/10.1517/17460441.2010.497534openalex-snapshot
De novodesign: balancing novelty and confined chemical space
inferred← citeshttps://doi.org/10.1517/17460441.2012.648612openalex-snapshot
Going further than Lipinski's rule in drug design
inferred← citeshttps://doi.org/10.17714/gumusfenbil.776329openalex-snapshot
İkili parçacık sürü optimizasyonu ve destek vektör makinelerinin hibrit kullanımı ile ilaç keşfi için özellik seçimi
inferred← citeshttps://doi.org/10.22159/ajpcr.2018.v11i8.26125openalex-snapshot
HIGHLY EFFICIENT SYNTHESIS OF 2,4-DISUBSTITUTED OXAZOLES THROUGH PALLADIUM/COPPER COMEDIATED DIRECT ARYLATION REACTION
inferred← citeshttps://doi.org/10.3390/i6010063openalex-snapshot
Inductive QSAR Descriptors. Distinguishing Compounds with Antibacterial Activity by Artificial Neural Networks
inferred← citeshttps://doi.org/10.3390/i8200456openalex-snapshot
Internal Test Sets Studies in a Group of Antimalarials
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.