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Analysis and Study of Molecule Data Sets Using Snowflake Diagrams of Weighted Maximum Common Subgraph Trees

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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On representation of proteins by star-like graphs
inferredcites →https://doi.org/10.1016/j.theochem.2004.04.013openalex-snapshot
QSAR of anti tuberculosis drugs of INH type using graphical invariants
inferredcites →https://doi.org/10.1021/ci0001177openalex-snapshot
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inferredcites →https://doi.org/10.1021/ci034167yopenalex-snapshot
Step-by-Step Calculation of All Maximum Common Substructures through a Constraint Satisfaction Based Algorithm
inferredcites →https://doi.org/10.1021/ci034256aopenalex-snapshot
Representation of the Molecular Topology of Cyclical Structures by Means of Cycle Graphs. 1. Extraction of Topological Properties
inferredcites →https://doi.org/10.1021/ci0342674openalex-snapshot
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Refinement and Use of the Approximate Similarity in QSAR Models for Benzodiazepine Receptor Ligands
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inferredcites →https://doi.org/10.1021/ci9001102openalex-snapshot
Finding Key Members in Compound Libraries by Analyzing Networks of Molecules Assembled by Structural Similarity
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Maximum Common Substructures of Organic Compounds Exhibiting Similar Infrared Spectra
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Novel Variable Selection Quantitative Structure−Property Relationship Approach Based on the k -Nearest-Neighbor Principle
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Structural Determination of Paraffin Boiling Points
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Mode of action and quantitative structure-activity correlations of tuberculostatic drugs of the isonicotinic acid hydrazide type
inferredcites →https://doi.org/10.1021/jm800867gopenalex-snapshot
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inferredcites →https://doi.org/10.1023/a:1021271615909openalex-snapshot
Maximum common subgraph isomorphism algorithms for the matching of chemical structures
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
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Graph Theory and Its Applications
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An introduction to chemoinformatics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00044-013-0527-2openalex-snapshot
QSAR studies on pyrrolidine amides derivatives as DPP-IV inhibitors for type 2 diabetes
inferred← citeshttps://doi.org/10.1007/s10822-013-9637-7openalex-snapshot
QSAR model based on weighted MCS trees approach for the representation of molecule data sets
inferred← citeshttps://doi.org/10.1016/j.chemolab.2013.04.003openalex-snapshot
An Algorithm for Pattern Extraction in Fingerprints
inferred← citeshttps://doi.org/10.1016/j.chemolab.2018.03.007openalex-snapshot
A new data representation based on relative measurements and fingerprint patterns for the development of QSAR regression models
inferred← citeshttps://doi.org/10.1021/acs.jcim.7b00492openalex-snapshot
Advantages of Relative versus Absolute Data for the Development of Quantitative Structure–Activity Relationship Classification Models
inferred← citeshttps://doi.org/10.1021/ci4004464openalex-snapshot
Construction and Use of Fragment-Augmented Molecular Hasse Diagrams
inferred← citeshttps://doi.org/10.1080/1062936x.2012.719543openalex-snapshot
Comparison of representational spaces based on structural information in the development of QSAR models for benzylamino enaminone derivatives
inferred← citeshttps://doi.org/10.1080/1062936x.2018.1442879openalex-snapshot
QSAR classification and regression models for β-secretase inhibitors using relative distance matrices
inferred← citeshttps://doi.org/10.1080/1062936x.2018.1494038openalex-snapshot
Robust QSAR prediction models for volume of distribution at steady state in humans using relative distance measurements
inferred← citeshttps://doi.org/10.1155/2013/798743openalex-snapshot
Predicting the DPP-IV Inhibitory Activity pIC50 Based on Their Physicochemical Properties
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