Richard Marchese Robinson
Titolo
Citata da
Citata da
Anno
Correction: Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms
N Golbamaki, B Rasulev, A Cassano, RLM Robinson, E Benfenati, ...
Nanoscale 7 (14), 6388-6388, 2015
128*2015
Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms
N Golbamaki, B Rasulev, A Cassano, RLM Robinson, E Benfenati, ...
Nanoscale 7 (6), 2154-2198, 2015
1282015
The challenges involved in modeling toxicity data in silico: a review
MP Gleeson, S Modi, A Bender, R L Marchese Robinson, J Kirchmair, ...
Current pharmaceutical design 18 (9), 1266-1291, 2012
832012
Interpreting random forest classification models using a feature contribution method
A Palczewska, J Palczewski, RM Robinson, D Neagu
Integration of Reusable Systems, 193-218, 2014
752014
Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification
PJ Ballester, M Mangold, NI Howard, RLM Robinson, C Abell, ...
Journal of The Royal Society Interface 9 (77), 3196-3207, 2012
642012
How should the completeness and quality of curated nanomaterial data be evaluated?
RLM Robinson, I Lynch, W Peijnenburg, J Rumble, F Klaessig, ...
Nanoscale 8 (19), 9919-9943, 2016
512016
Interpreting random forest models using a feature contribution method
A Palczewska, J Palczewski, RM Robinson, D Neagu
2013 IEEE 14th International Conference on Information Reuse & Integrationá…, 2013
472013
Development and comparison of hERG blocker classifiers: Assessment on different datasets yields markedly different results
RL Marchese Robinson, RC Glen, JBO Mitchell
Molecular Informatics 30 (5), 443-458, 2011
392011
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Datasets
RL Marchese Robinson, A Palczewska, J Palczewski, N Kidley
Journal of Chemical Information and Modeling, 2017
332017
Integration among databases and data sets to support productive nanotechnology: Challenges and recommendations
NanoImpact, 2017
27*2017
Comparing the CORAL and Random Forest Approaches for Modelling the In Vitro Cytotoxicity of Silica Nanomaterials
A Cassano, RL Marchese Robinson, A Palczewska, T Puzyn, A Gajewicz, ...
Alternatives to Laboratory Animals 44, 2016
222016
Development of computational models for the prediction of the toxicity of nanomaterials
AN Richarz, JC Madden, RL Marchese Robinson, Ł Lubiński, E Mokshina, ...
Perspectives in Science 3 (1-4), 27-29, 2015
222015
An ISA-TAB-Nano based data collection framework to support data-driven modelling of nanotoxicology
RLM Robinson, MTD Cronin, AN Richarz, R Rallo
Beilstein journal of nanotechnology 6 (1), 1978-1999, 2015
192015
Perspectives from the NanoSafety Modelling Cluster on the validation criteria for (Q)SAR models used in nanotechnology
T Puzyn, N Jeliazkova, H Sarimveis, RL Marchese Robinson, V Lobaskin, ...
Food and Chemical Toxicology, 2017
162017
Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal use
CL Mellor, RLM Robinson, R Benigni, D Ebbrell, SJ Enoch, JW Firman, ...
Regulatory Toxicology and Pharmacology 101, 121-134, 2019
142019
Compilation of Data and Modelling of Nanoparticle Interactions and Toxicity in the NanoPUZZLES Project
AN Richarz, A Avramopoulos, E Benfenati, A Gajewicz, NG Bakhtyari, ...
Modelling the Toxicity of Nanoparticles, 303-324, 2017
62017
The influence of solid state information and descriptor selection on statistical models of temperature dependent aqueous solubility
RL Marchese Robinson, KJ Roberts, EB Martin
Journal of Cheminformatics 10, 44, 2018
52018
Evaluation of Force-Field Calculations of Lattice Energies on a Large Public Dataset, Assessment of Pharmaceutical Relevance and Comparison to Density Functional Theory
RL Marchese Robinson, D Geatches, C Morris, R Mackenzie, ...
Journal of Chemical Information and Modeling, 2019
42019
Off-the-shelf DFT-DISPersion methods: Are they now “on-trend” for organic molecular crystals?
D Geatches, I Rosbottom, RL Marchese Robinson, P Byrne, P Hasnip, ...
Journal of Chemical Physics 151, 044106, 2019
42019
Computational approaches to predicting drug induced toxicity
RL Marchese Robinson
University of Cambridge, 2013
2013
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20