JESUS VICENTE
DE JULIAN ORTIZ
TITULAR DE UNIVERSIDAD
Emili
Besalú Llorà
Publications by the researcher in collaboration with Emili Besalú Llorà (22)
2023
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Application of SSIR Method for the Design of Fungicides
Applied Sciences (Switzerland), Vol. 13, Núm. 2
2022
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Visualización del Número de Avogadro
Nereis: revista iberoamericana interdisciplinar de métodos, modelización y simulación, Núm. 14, pp. 89-105
2020
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Ranking series of cancer-related gene expression data by means of the superposing significant interaction rules method
Biomolecules, Vol. 10, Núm. 9, pp. 1-14
2018
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Modeling properties with artificial neural networks and multilinear least-squares regression: Advantages and drawbacks of the two methods
Applied Sciences (Switzerland), Vol. 8, Núm. 7
2016
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Discriminating drug-like compounds by partition trees with quantum similarity indices and graph invariants
Current Pharmaceutical Design, Vol. 22, Núm. 34, pp. 5179-5195
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Molecular rearrangement of an Aza-Scorpiand macrocycle induced by pH: A computational study
International Journal of Molecular Sciences, Vol. 17, Núm. 7
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Superposing Significant Interaction Rules (SSIR) method: A simple procedure for rapid ranking of congeneric compounds
Croatica Chemica Acta, Vol. 89, Núm. 4
2015
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How useful is a relationship?
Advances in Chemical Modeling (Nova Science Publishers, Inc.), pp. 365-372
2014
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A probabilistic analysis about the concepts of difficulty and usefulness of a molecular ranking classification
Current Computer-Aided Drug Design, Vol. 10, Núm. 2, pp. 107-114
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The Titius-bode relationship and the lability of QSAR/QSPR models
Match, Vol. 71, Núm. 1, pp. 143-148
2012
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Orthogonal regression methods in chemical modeling
Chemical Information and Computational Challenges in the 21st Century (Nova Science Publishers, Inc.), pp. 244-259
2011
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On plots in QSAR/QSPR methodologies
Quantum Frontiers of Atoms and Molecules (Nova Science Publishers, Inc.), pp. 589-605
2010
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Ordinary and orthogonal regressions in QSAR/QSPR and chemistry-related studies
Match, Vol. 63, Núm. 3, pp. 573-583
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Two-variable linear regression: Modeling with orthogonal least-squares analysis
Journal of Chemical Education, Vol. 87, Núm. 9, pp. 994-995
2007
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Trends and plot methods in MLR studies
Journal of Chemical Information and Modeling, Vol. 47, Núm. 3, pp. 751-760
2006
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An overlooked property of plot methods
Journal of Mathematical Chemistry, Vol. 39, Núm. 3-4, pp. 475-484
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Internal test sets studies in a group of antimalarials
International Journal of Molecular Sciences, Vol. 7, Núm. 10, pp. 456-468
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Some plots are not that equivalent
Match, Vol. 55, Núm. 2, pp. 281-286
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True prediction of lowest observed adverse effect levels
Molecular Diversity, Vol. 10, Núm. 2, pp. 159-168
2004
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Equivalence of the Pecka-Ponec correlation probability and the statistical F significance for MLR models
Journal of Mathematical Chemistry, Vol. 36, Núm. 4, pp. 361-363