about
Quantitative structure activity relationships as useful tools for the design of new adenosine receptor ligands. 1. Agonist.Applications of 2D descriptors in drug design: a DRAGON tale.Combining QSAR classification models for predictive modeling of human monoamine oxidase inhibitors.Quantitative structure activity relationship for the computational prediction of nitrocompounds carcinogenicity.TI2BioP: Topological Indices to BioPolymers. Its practical use to unravel cryptic bacteriocin-like domains.Radial distribution function descriptors: an alternative for predicting A2 A adenosine receptors agonists.Quantitative structure-carcinogenicity relationship for detecting structural alerts in nitroso compounds: species, rat; sex, female; route of administration, gavage.Effects of coagulase-negative staphylococci and fibrin on breast capsule formation in a rabbit model.Two new parameters based on distances in a receiver operating characteristic chart for the selection of classification models.QSAR modeling of the rodent carcinogenicity of nitrocompounds.Effects of fibrin, thrombin, and blood on breast capsule formation in a preclinical modelLong-term follow-up of breast capsule contracture rates in cosmetic and reconstructive casesPrediction of telomerase inhibitory activity for acridinic derivatives based on chemical structure
P50
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P50
description
researcher
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wetenschapper
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հետազոտող
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name
Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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Aliuska Morales Helguera
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P106
P1153
6602316643
P31
P496
0000-0003-4781-547X