e-state descriptors combined with artificial neural networks (Tetko Inc)
90
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Tetko Inc
e-state descriptors combined with artificial neural networks
E State Descriptors Combined With Artificial Neural Networks, supplied by Tetko Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/e-state+descriptors+combined+with+artificial+neural+networks/e+state+descriptors+combined+with+artificial+neural+networks/pm14741021-25-39-33
Average 90 stars, based on 1 article reviews
E State Descriptors Combined With Artificial Neural Networks, supplied by Tetko Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/e-state+descriptors+combined+with+artificial+neural+networks/e+state+descriptors+combined+with+artificial+neural+networks/pm14741021-25-39-33
Average 90 stars, based on 1 article reviews
e-state descriptors combined with artificial neural networks - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Development of neural network QSPR models for Hansch substituent constants. 1. Method and validations. Article Snippet: In an attempt to develop predictive models for Hansch substituent constants for less common substituents, neural network QSPR (Quantitative Structure-Property Relationship) studies were conducted to correlate Hansch substituent constants for hundreds of chemically diverse functional groups with two different molecular descriptor sets.. The Hansch substituent constants under study were π, MR, F and R, describing the hydrophobic, steric/polarizability, and electronic (field and resonance) characteristics of the substituents, respectively.. E-state descriptors were used for π and MR, while the molecular descriptor set based upon the approach of Kvasnicka, Sklenak, and Pospichal (J. |