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Melting point prediction using group contribution method. MP-Notebook presentation.

Authors: Paskaleva, Vesselina; Kochev, Nikolay; Pukalov, Ognyan;

Melting point prediction using group contribution method. MP-Notebook presentation.

Abstract

The methods for quantitative structure-property relationship (QSPR) are recommended for regulatory usage together with the experimental protocols for particular endpoints. The melting point (MP) of a molecule is one of the physicochemical properties required from REACH (Registration, Evaluation, Authorisation and Restriction of Chemical Regulation). MP value (experimental or computed) plays important role in determining other properties such as vapor pressure, liquid viscosity, boiling point and etc. Computer prediction of the melting point is a great challenge. In this work, we present a group contribution model for predicting MP of organic compounds developed with the help of in-house developed open-source software Ambit-GCM. The modeling workflow includes: data manipulation and representation, descriptor and fingerprint calculation, model building, model validation, result output and storage. Typically such a workflow is accomplished by a number of different software tools and sometimes it hinders the reproducibility of published model results due to version differences, commercial software usage etc. One of the emerging software solutions for such issues are so called “Electronic Notebooks”. The notebook is a combination of text, data and code chunks, assembling tools from software packages which makes easy to trace the steps of a particular modeling workflow. We present the first prototype of MP-Notebook for building and validation of QSPR models for melting points of organic compounds.

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Keywords

group contribution methods, QSPR, electronic notebooks

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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