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03075nam a22002895i 4500 |
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000282363 |
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20200930082853.0 |
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180622s2018 xxu| s |||| 0|eng d |
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|a 9781493978991
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024 |
7 |
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|a 10.1007/978-1-4939-7899-1
|2 doi
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040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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245 |
1 |
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|a Computational Toxicology :
|b Methods and Protocols /
|c edited by Orazio Nicolotti.
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250 |
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|a 1st ed. 2018.
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260 |
# |
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|a New York, NY :
|b Springer New York :
|b Imprint: Humana,
|c 2018.
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300 |
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|a XVI, 587 p. 177 illus., 115 illus. in color. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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490 |
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|a Methods in Molecular Biology,
|v 1800
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505 |
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|a Molecular Descriptors For Structure-Activity Applications: A Hands-On Approach -- The OECD QSAR Toolbox Starts Its Second Decade -- QSAR: What Else? -- (Q)SARs as Adaptations to REACH Information Requirements -- Machine Learning Methods In Computational Toxicology -- Applicability Domain: A Step Toward Confident Predictions And Decidability for QSAR Modeling -- Molecular Similarity In Computational Toxicology -- Molecular Docking for Predictive Toxicology -- Criteria and Application on the use of Non-Testing Methods within a Weight of Evidence Strategy -- Characterization and Management of Uncertainties in Toxicological Risk Assessment: Examples from the Opinions of the European Food Safety Authority -- Computational Toxicology and Drug Discovery -- Approaching Pharmacological Space: Events and Components -- Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation -- Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology -- Ion Channels In Drug Discovery and Safety Pharmacology -- Computational Approaches in Multi-Target Drug Discovery -- Nano-Formulations for Drug Delivery: Safety, Toxicity, and Efficacy -- Toxicity Potential Of Nutraceuticals -- Impact of Pharmaceuticals on the Environment: Risk Assessment using QSAR Modeling Approach -- (Q)SAR Methods for Predicting Genotoxicity and Carcinogenicity: Scientific Rationale and Regulatory Frameworks -- Stem Cell-Based Methods to Predict Developmental Chemical Toxicity -- Predicting Chemically-Induced Skin Sensitisation by using In Chemico/In Vitro Methods -- Hepatotoxicity Prediction by Systems Biology Modeling of Disturbed Metabolic Pathways using Gene Expression Data -- Non-Test Methods to Predict Acute Toxicity: State of Art for Applications of In Silico Methods -- Predictive Systems Toxicology -- Chemoinformatic Approach to Assess Toxicity of Ionic Liquids -- Prediction of Biochemical Endpoints by the CORAL Software: Prejudices, Paradoxes, and Results.
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650 |
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|a Pharmacology.
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650 |
1 |
4 |
|a Pharmacology/Toxicology.
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700 |
1 |
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|a Nicolotti, Orazio.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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900 |
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|a Libro descargado a ALEPH en bloque (proveniente de proveedor)
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