Literature DB >> 12924571

Quantitative structure-property relationships for prediction of boiling point, vapor pressure, and melting point.

John C Dearden1.   

Abstract

Boiling point, vapor pressure, and melting point are important physicochemical properties in the modeling of the distribution and fate of chemicals in the environment. However, such data often are not available, and therefore must be estimated. Over the years, many attempts have been made to calculate boiling points, vapor pressures, and melting points by using quantitative structure-property relationships, and this review examines and discusses the work published in this area, and concentrates particularly on recent studies. A number of software programs are commercially available for the calculation of boiling point, vapor pressure, and melting point, and these have been tested for their predictive ability with a test set of 100 organic chemicals.

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Year:  2003        PMID: 12924571     DOI: 10.1897/01-363

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  5 in total

1.  Calculation of the Vapour Pressure of Organic Molecules by Means of a Group-Additivity Method and Their Resultant Gibbs Free Energy and Entropy of Vaporization at 298.15 K.

Authors:  Rudolf Naef; William E Acree
Journal:  Molecules       Date:  2021-02-17       Impact factor: 4.411

2.  Matched Molecular Pair Analysis on Large Melting Point Datasets: A Big Data Perspective.

Authors:  Michael Withnall; Hongming Chen; Igor V Tetko
Journal:  ChemMedChem       Date:  2017-08-23       Impact factor: 3.466

3.  A new model for predicting boiling points of alkanes.

Authors:  Simon Mukwembi; Farai Nyabadza
Journal:  Sci Rep       Date:  2021-12-20       Impact factor: 4.379

4.  Electron configuration-based neural network model to predict physicochemical properties of inorganic compounds.

Authors:  Hyun Kil Shin
Journal:  RSC Adv       Date:  2020-09-08       Impact factor: 4.036

5.  In Silico Structure-Based Approach for Group Efficiency Estimation in Fragment-Based Drug Design Using Evaluation of Fragment Contributions.

Authors:  Dmitry A Shulga; Nikita N Ivanov; Vladimir A Palyulin
Journal:  Molecules       Date:  2022-03-18       Impact factor: 4.411

  5 in total

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