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Structure−Activity Relationship Studies of Substituted 17α-Acetoxyprogesterone Hormones

https://doi.org/10.1021/ci000454f
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What this work says

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

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Optimization of parameters for semiempirical methods I. Method
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Identification of hormone-interacting amino acid residues within the steroid-binding domain of the glucocorticoid receptor in relation to other steroid hormone receptors.
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Identifying carcinogenic activity of methylated polycyclic aromatic hydrocarbons (PAHs)
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Structure–activity relationship study of some inhibitors of HIV-1 integrase
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Structure–activity study of indolequinones bioreductive alkylating agents
inferredcites →https://doi.org/10.1016/s0166-1280(99)00039-1openalex-snapshot
Structure–activity relationship (SAR) of substituted 17α-acetoxyprogesterones studied with principal component analysis and neural networks using calculated physicochemical parameters
inferredcites →https://doi.org/10.1021/ci00022a010openalex-snapshot
Predicting Carcinogenicity of Polycyclic Aromatic Hydrocarbons from Back-Propagation Neural Network
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Computer-assisted studies of molecular structure biological activity relationships
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Structure−Activity Relationship Studies of Carcinogenic Activity of Polycyclic Aromatic Hydrocarbons Using Calculated Molecular Descriptors with Principal Component Analysis and Neural Network Methods
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Quantum-Chemical Descriptors in QSAR/QSPR Studies
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Pattern recognition. Powerful approach to interpreting chemical data
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Using theoretical descriptors in quantitative structure-activity relationships: some toxicological indices
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Neural networks applied to pharmaceutical problems. III. Neural networks applied to quantitative structure-activity relationship (QSAR) analysis
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Computer-assisted structure-activity studies of chemical carcinogens. A heterogeneous data set
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Relationship between Measured Diffusion Coefficients and Calculated Molecular Surface Properties
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A supersymmetric model for the evolution of the genetic code
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Theoretical Approach to Identify Carcinogenic Activity of Polycyclic Aromatic Hydrocarbons

What points at this work

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inferred← citeshttps://doi.org/10.1002/9783527628766.biblioopenalex-snapshot
Bibliography
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ChemInform Abstract: Structure—Activity Relationship Studies of Substituted 17α‐Acetoxyprogesterone Hormones.
inferred← citeshttps://doi.org/10.1002/qsar.200710172openalex-snapshot
QSAR Modeling of Nucleosides Against Amastigotes of Leishmania donovani Using Logistic Regression and Classification Tree
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Carcinogenic classification of polycyclic aromatic hydrocarbons through theoretical descriptors
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New 3-piperonylcoumarins as inhibitors of glycosomal glyceraldehyde-3-phosphate dehydrogenase (gGAPDH) from Trypanosoma cruzi
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Pattern recognition methods investigation of ellipticines structure–activity relationships
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Comparison of classical and ultrasound-assisted extractions of steroids and triterpenoids from three Chresta spp
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Structure–activity relationship (SAR) studies of the tripos benchmark steroids
inferred← citeshttps://doi.org/10.1016/s1093-3263(01)00107-3openalex-snapshot
Structure–activity relationships (SAR) of contraceptive progestogens studied with four different methods using calculated physicochemical parameters
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A semiempirical study on the electronic structure of 10-deacetylbaccatin-III
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Identifying Relevant Molecular Descriptors Related to Carcinogenic Activity of Polycyclic Aromatic Hydrocarbons (PAHs) Using Pattern Recognition Methods
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A Structure−Activity Study of Taxol, Taxotere, and Derivatives Using the Electronic Indices Methodology (EIM)
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Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
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Structure-Activity Relationship Investigation of Some New Tetracyclines by Electronic Index Methodology
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