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Medical diagnostic tests: a review of test anatomy, phases, and statistical treatment of data
SD Bolboacă - Computational and mathematical methods in …, 2019 - Wiley Online Library
Diagnostic tests are approaches used in clinical practice to identify with high accuracy the
disease of a particular patient and thus to provide early and proper treatment. Reporting …
disease of a particular patient and thus to provide early and proper treatment. Reporting …
In silico methods for toxicity prediction
RD Combes - New Technologies for Toxicity Testing, 2012 - Springer
The principles and uses of (Q) SAR models and expert systems for predicting toxicity and the
biotransformation of foreign chemicals (xenobiotics) are described and illustrated for some …
biotransformation of foreign chemicals (xenobiotics) are described and illustrated for some …
A hybrid artificial intelligence model for river flow forecasting
A hybrid hydrologic estimation model is presented with the aim of performing accurate river
flow forecasts without the need of using prior knowledge from the experts in the field. The …
flow forecasts without the need of using prior knowledge from the experts in the field. The …
Interpretable attention-based multi-encoder transformer based QSPR model for assessing toxicity and environmental impact of chemicals
The rising demand from consumer goods and pharmaceutical industry is driving a fast
expansion of newly developed chemicals. The conventional toxicity testing of unknown …
expansion of newly developed chemicals. The conventional toxicity testing of unknown …
Protein aggregation and lyophilization: Protein structural descriptors as predictors of aggregation propensity
BC Roughton, LK Iyer, E Bertelsen, EM Topp… - Computers & chemical …, 2013 - Elsevier
Lyophilization can induce aggregation in therapeutic proteins, but the relative importance of
protein structure, formulation and processing conditions are poorly understood. To evaluate …
protein structure, formulation and processing conditions are poorly understood. To evaluate …
Comparison of Quantitative Structure‐Activity Relationship Model Performances on Carboquinone Derivatives
Quantitative structure‐activity relationship (qSAR) models are used to understand how the
structure and activity of chemical compounds relate. In the present study, 37 carboquinone …
structure and activity of chemical compounds relate. In the present study, 37 carboquinone …
Molecular design and QSARs/QSPRs with molecular descriptors family
The aim of the present paper is to present the methodology of the molecular descriptors
family (MDF) as an integrative tool in molecular modeling and its abilities as a multivariate …
family (MDF) as an integrative tool in molecular modeling and its abilities as a multivariate …
Predictivity approach for quantitative structure-property models. Application for blood-brain barrier permeation of diverse drug-like compounds
The goal of the present research was to present a predictivity statistical approach applied on
structure-based prediction models. The approach was applied to the domain of blood-brain …
structure-based prediction models. The approach was applied to the domain of blood-brain …
Role of GA, AG and R in Structure-Property Modelling
Molecular descriptors are essential tools that bridge the gap between chemical structures
and their properties. Among these, the Randić index (R), geometric-arithmetic index (GA) …
and their properties. Among these, the Randić index (R), geometric-arithmetic index (GA) …
Meta-heuristics on quantitative structure-activity relationships: study on polychlorinated biphenyls
A genetic algorithm was developed and assessed in order to select pairs of proper structural
descriptors able to estimate and predict octanol-water partition coefficients of …
descriptors able to estimate and predict octanol-water partition coefficients of …