Highly Correlated Wiener polarity Index: A Model to Predict Log p
Immadesetty Pothu Raju
Abstract
Wiener polarity index of a more generalized graph of chemical graphs of polyacenes and phenylenes is computed and the results are used to design a model for predicting log p values of polyacenes. The multiple regression with two descriptors gives improved models with correlation coefficient 0.999999980642502.
DOI:
http://doi.org/10.11591/ijaas.v3.i1.pp19-24
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Copyright (c) 2014 Immadesetty Pothu Raju
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International Journal of Advances in Applied Sciences (IJAAS) p-ISSN 2252-8814 , e-ISSN 2722-2594 Intelektual Pustaka Media Utama (IPMU) in collaboration with the Institute of Advanced Engineering and Science (IAES).
