2001
DOI: 10.1007/978-1-4757-3273-3_12
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Quantum Molecular Similarity: Theory and Applications to the Evaluation of Molecular Properties, Biological Activities and Toxicity

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Cited by 39 publications
(34 citation statements)
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“…In other words, the exposed protocol consists of an unbiased and universal procedure based on a theoretical relationship [85] and potentially capable to model different biological responses without introducing further information that the provided by MQSM.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In other words, the exposed protocol consists of an unbiased and universal procedure based on a theoretical relationship [85] and potentially capable to model different biological responses without introducing further information that the provided by MQSM.…”
Section: Discussionmentioning
confidence: 99%
“…Once established the theoretical basis of MQS, this technique was considered as a valid tool to generate QSAR/QSPR descriptors. The first work in this field is due to Martín [69], which was later used and developed by many other researchers [70 -83], which finally rendered into a theoretical protocol for the application of similarity measures in the QSAR/QSPR field [84,85]. This methodology has been successfully applied in our research group for the construction of correlation models into the pharmacological [86 -94] and toxicity evaluation [95 -99] frameworks.…”
Section: Introductionmentioning
confidence: 98%
“…This condition, if the computed similarities are not faulty, constitute a metric matrix of the U-m space, subtended by the U-m QSM columns. Thus, provided that the U-m discrete representations with respect to the core set are linearly independent, the inverse of A is guaranteed to exist, as it will be positive definite; moreover, implying the quadratic error (30) is a minimum at the value jx Opt 1 i given by equation (31). One can easily estimate the unknown parameterised U-m property vector jp 1 i, submitted to the quadratic error restriction, after defining the auxiliary matrix:…”
Section: The (N 1 M) Case Under a Quadratic Error Restrictionmentioning
confidence: 99%
“…The optimal coefficient value (23) produces a minimum of the quadratic error, being the second order coefficient of the quadratic error polynomial (22), associated to the positive definite Euclidian norm of the U-m discrete representation with respect the core set density tags, that is: z j z h i > 0. Such a quadratic error restriction is equivalent to constructing the difference vector (21) with elements as small as possible.…”
Section: Setting Up the Problemmentioning
confidence: 99%
“…53 However, it has been not until recently that the mathematical and physical foundations of QS have been developed in a series of publications. 5,[8][9][10]65,68,[148][149][181][182][183][184][185][186] In those articles, several new theoretical definitions, related to old concepts, were described. The first idea described was the so-called tagged set concept.…”
Section: Mathematical Aspects Of Quantum Similaritymentioning
confidence: 99%