Results 81 to 90 of about 22,128,804 (198)
Automated QSPR through competitive workflow
This paper describes a novel software architecture, Competitive Workflow, which implements workflow as a distributed and competitive multi-agent system. The implementation of a competitive workflow architecture designed to model important computer-aided ...
Cartmell J +4 more
core +5 more sources
A quantitative structure property relationship (QSPR) analysis of some organic compounds (imines or Schiff bases) is studied. The corrosion inhibition efficiencies of these imines have been studied by using AM1 (Austin model 1) Hamiltonian SCF-MO method ...
Iran Sheikhshoaie +1 more
doaj
Combined machine learning approaches to predict the thermal conductivity of liquid mixtures
The application of Machine Learning (ML)-based techniques was explored to create a fully predictive framework for estimating the thermal conductivity of multi-component mixtures containing hydrocarbons and oxygenated compounds.
Le Trung T. +5 more
doaj +1 more source
QSPRpred: a Flexible Open-Source Quantitative Structure-Property Relationship Modelling Tool
Building reliable and robust quantitative structure–property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated.
Helle W. van den Maagdenberg +12 more
doaj +1 more source
An atom counting QSPR protocol
A simple descriptor, viz the number of carbon (NC)/non-hydrogenic (NNH) atoms present in a molecule, is proposed for the development of useful Quantitative Structure-Property-Relationship (QSPR) models.
Roy, Dehesh R. +5 more
core +1 more source
Chemical Graph Theory for Property Modeling in QSAR and QSPR—Charming QSAR & QSPR
Quantitative structure-activity relationship (QSAR) and Quantitative structure-property relationship (QSPR) are mathematical models for the prediction of the chemical, physical or biological properties of chemical compounds.
Joel S. Evangelista +3 more
core +1 more source
Nanosheets with boron elements have excellent characteristics which makes the boron polymorphs unique and super hard. A boron $$\alpha$$ α -icosahedral nanosheet in crystalline form has superconductivity and thermal electronic properties.
D. Antony Xavier +3 more
doaj +1 more source
This work presents the development and analysis of robust QSPR models for critical properties (pressure PC, temperature TC, and volume VC). The object of this study is a database consisting of 399 different organic compounds.
Єгор Костянтинович Пестерев +5 more
doaj +5 more sources
The study of thermodynamics and electronic structure of chemotherapy drug is crucial in developing effective cancer treatments. Quantitative Structure-Property Relationship (QSPR) analysis is an essential instrument in creating and enhancing ...
Fatima Saeed +2 more
doaj +1 more source
QSPR-Analysis of Certain Molecular Descriptors
Molecular descriptor is a number associated with the molecular graph. The applications ofmolecular descriptors in predicting the physcio-chemico properties of chemical compoundsframed a remarkable benchmark in the field of mathematical chemistry. In this paper, F-Somborindex(FSLI), sum connectivity Gourava index(SCGI), product connectivity Gouravaindex(
openaire +2 more sources

