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A Novel Index for the Description of Molecular Linearity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jps.2600760325openalex-snapshot
Molecular Connectivity in Structure–activity Analysis
inferredcites →https://doi.org/10.1002/qsar.19840030102openalex-snapshot
A QSAR Study of the Ames Mutagenicity of 1‐(X‐Phenyl)‐3,3‐dialkyltriazenes Using Molecular Potential Energy Fields and Molecular Shape Analysis
inferredcites →https://doi.org/10.1002/qsar.19850040304openalex-snapshot
A Method for Determining the Theoretical Carcinogenicity of Polycyclic Aromatic Hydrocarbons
inferredcites →https://doi.org/10.1002/qsar.19860050103openalex-snapshot
Distinguishing Atom Differences in a Molecular Graph Shape Index
inferredcites →https://doi.org/10.1002/qsar.19860050104openalex-snapshot
Physical Factors Contributing to Hydrophobic Constant π
inferredcites →https://doi.org/10.1002/qsar.19910100410openalex-snapshot
Comprehensive Medicinal Chemistry
inferredcites →https://doi.org/10.1016/0160-4120(91)90297-4openalex-snapshot
Practical applications of quantitative structure-activity relationships (QSAR) in environmental chemistry and toxicology
inferredcites →https://doi.org/10.1017/cbo9781139167550openalex-snapshot
Mathematical Methods for the Physical Sciences
inferredcites →https://doi.org/10.1021/ci960108ropenalex-snapshot
Three-Dimensional Shape-Based Searching of Conformationally Flexible Compounds
inferredcites →https://doi.org/10.1021/ci990162iopenalex-snapshot
The Characterization of Chemical Structures Using Molecular Properties. A Survey
inferredcites →https://doi.org/10.1021/ja9718937openalex-snapshot
Construction of 3D-QSAR Models Using the 4D-QSAR Analysis Formalism
inferredcites →https://doi.org/10.1021/jm0009134openalex-snapshot
Deriving a Quantitative Chirality Measure from Molecular Similarity Indices
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jps.21678openalex-snapshot
Nonlinear Quantitative Structure-Property Relationship Modeling of Skin Permeation Coefficient
inferred← citeshttps://doi.org/10.1002/qsar.200330831openalex-snapshot
Approaches to Measure Chemical Similarity – a Review
inferred← citeshttps://doi.org/10.1002/qsar.200390021openalex-snapshot
A Hierarchical QSAR Model for Urinary Excretion of Drugs in Humans as a Predictive Tool for Biotransformation
inferred← citeshttps://doi.org/10.1007/978-1-4020-9783-6_12openalex-snapshot
Chemometric Methods and Theoretical Molecular Descriptors in Predictive QSAR Modeling of the Environmental Behavior of Organic Pollutants
inferred← citeshttps://doi.org/10.1007/978-3-662-47371-9_10openalex-snapshot
Conclusions and Recommendations for Model Development and Use
inferred← citeshttps://doi.org/10.1016/b978-0-443-18638-7.00022-0openalex-snapshot
Chemical space and molecular descriptors for QSAR studies
inferred← citeshttps://doi.org/10.1016/s0045-6535(02)00114-5openalex-snapshot
Quantitative structure–activity relationships (QSARs) for the prediction of skin permeation of exogenous chemicals
inferred← citeshttps://doi.org/10.1080/00268976.2024.2331620openalex-snapshot
Applications of conceptual density functional theory in reference to quantitative structure–activity / property relationship
inferred← citeshttps://doi.org/10.1201/9780203020821.ch7openalex-snapshot
The Prediction of Skin Permeability Using Quantitative Structure–Activity Relationship Methods
inferred← citeshttps://doi.org/10.2174/1570180820666221207121031openalex-snapshot
Comparative QSAR Modeling for Predicting Anticancer Potency of Imidazo[4,5-b]Pyridine Derivatives Using GA-MLR and BP-ANN Techniques
inferred← citeshttps://doi.org/10.3390/80900687openalex-snapshot
Total and Local Quadratic Indices of the Molecular Pseudograph's Atom Adjacency Matrix: Applications to the Prediction of Physical Properties of Organic Compounds
inferred← citeshttps://doi.org/10.3390/molecules25061292openalex-snapshot
QSPR/QSAR: State-of-Art, Weirdness, the Future
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