Alberto Fernández
Alberto Fernández
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Zitiert von
Zitiert von
Analysis of the structure of complex networks at different resolution levels
A Arenas, A Fernandez, S Gomez
New journal of physics 10 (5), 053039, 2008
Portfolio selection using neural networks
A Fernández, S Gómez
Computers & Operations Research 34 (4), 1177-1191, 2007
Size reduction of complex networks preserving modularity
A Arenas, J Duch, A Fernández, S Gómez
New Journal of Physics 9 (6), 176, 2007
Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms
A Fernández, S Gómez
Journal of Classification 25, 43-65, 2008
Motif-based communities in complex networks
A Arenas, A Fernandez, S Fortunato, S Gomez
Journal of Physics A: Mathematical and Theoretical 41 (22), 224001, 2008
Evaluation of QSAR models for the prediction of ames genotoxicity: a retrospective exercise on the chemical substances registered under the EU REACH regulation
A Cassano, G Raitano, E Mombelli, A Fernández, J Cester, A Roncaglioni, ...
Journal of Environmental Science and Health, Part C 32 (3), 273-298, 2014
A comparative survey of chemistry-driven in silico methods to identify hazardous substances under REACH
M Nendza, S Gabbert, R Kühne, A Lombardo, A Roncaglioni, E Benfenati, ...
Regulatory Toxicology and Pharmacology 66 (3), 301-314, 2013
Quantitative consensus of bioaccumulation models for integrated testing strategies
A Fernández, A Lombardo, R Rallo, A Roncaglioni, F Giralt, E Benfenati
Environment international 45, 51-58, 2012
Data quality assessment for in silico methods: a survey of approaches and needs
M Nendza, T Aldenberg, E Benfenati, R Benigni, MTD Cronin, S Escher, ...
Royal Society of Chemistry, 2010
Ligand-based virtual screening using graph edit distance as molecular similarity measure
C Garcia-Hernandez, A Fernandez, F Serratosa
Journal of chemical information and modeling 59 (4), 1410-1421, 2019
Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q) SAR models used in nanotechnology
T Puzyn, N Jeliazkova, H Sarimveis, RLM Robinson, V Lobaskin, R Rallo, ...
Food and Chemical Toxicology 112, 478-494, 2018
In Silico Design of Optimal Dissolution Kinetics of Fe‐Doped ZnO Nanoparticles Results in Cancer‐Specific Toxicity in a Preclinical Rodent Model
BB Manshian, S Pokhrel, U Himmelreich, K Tämm, L Sikk, A Fernández, ...
Advanced Healthcare Materials 6 (9), 1601379, 2017
Comparison between bioconcentration factor (BCF) data provided by industry to the European Chemicals Agency (ECHA) and data derived from QSAR models
MI Petoumenou, F Pizzo, J Cester, A Fernández, E Benfenati
Environmental Research 142, 529-534, 2015
A complex network approach to the determination of functional groups in the neural system of C. elegans
A Arenas, A Fernández, S Gómez
Workshop on Bio-Inspired Design of Networks, 9-18, 2007
Results of a round-robin exercise on read-across
E Benfenati, M Belli, T Borges, E Casimiro, J Cester, A Fernandez, G Gini, ...
SAR and QSAR in Environmental Research 27 (5), 371-384, 2016
Predicting cell association of surface-modified nanoparticles using protein corona structure-activity relationships (PCSAR)
P Kamath, A Fernandez, F Giralt, R Rallo
Current Topics in Medicinal Chemistry 15 (18), 1930-1937, 2015
Uncertainty reduction in environmental data with conflicting information
A Fernández, R Rallo, F Giralt
Environmental science & technology 43 (13), 5001-5006, 2009
Integrated testing strategy (ITS) for bioaccumulation assessment under REACH
A Lombardo, A Roncaglioni, E Benfentati, M Nendza, H Segner, ...
Environment international 69, 40-50, 2014
Prioritization of in silico models and molecular descriptors for the assessment of ready biodegradability
A Fernández, R Rallo, F Giralt
Environmental Research 142, 161-168, 2015
Impact of origin-destination information in epidemic spreading
S Gómez, A Fernández, S Meloni, A Arenas
Scientific reports 9 (1), 2315, 2019
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