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- Currently displaying 241 - 260 of 584 publications
Conformal Regression for Quantitative Structure–Activity Relationship Modelingî—¸Quantifying Prediction Uncertainty
Journal of Chemical Information and Modeling
(2018)
58
1132
(doi: 10.1021/acs.jcim.8b00054)
Corrigendum: In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts
Frontiers in Chemistry
(2018)
6
129
(doi: 10.3389/fchem.2018.00129)
A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria.
Malaria journal
(2018)
17
160
(doi: 10.1186/s12936-018-2294-5)
Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics.
Cell
(2018)
173
305
(doi: 10.1016/j.cell.2018.03.033)
Comprehensive Characterization of Cancer Driver Genes and Mutations.
Cell
(2018)
173
371
(doi: 10.1016/j.cell.2018.02.060)
Special Issue: Cheminformatics in Drug Discovery
ChemMedChem
(2018)
13
467
(doi: 10.1002/cmdc.201800123)
eMolTox: Prediction of molecular toxicity with confidence
Bioinformatics (Oxford, England)
(2018)
34
2508
In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.
Frontiers in chemistry
(2018)
6
30
(doi: 10.3389/fchem.2018.00030)
Common structural and pharmacophoric features of mPGES-1 and LTC4S.
Future medicinal chemistry
(2018)
10
259
(doi: 10.4155/fmc-2017-0123)
Determining associations between transcriptomics and toxicity using co-expression network methods
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Artificial intelligence for predicting molecular electrostatic potentials (ESPs): A step towards developing ESP-guided knowledge-based scoring functions
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
In silico estimation of chemical aquatic toxicity on crustaceans using chemical category methods
Environ Sci Process Impacts
(2018)
20
1234
(doi: 10.1039/c8em00220g)
Information-derived adverse outcome pathways with a case study on structural cardiotoxicity
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Understanding drug and compound combinations and modelling synergy - Methods and applications
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Understanding the effect of arsenic treatment on breast cancer cell lines using gene expression analysis
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Gearing transcriptomics towards high-throughput screening: Compound shortlisting from gene expression using in silico information
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Analysing matched molecular pair transformations in drug discovery projects as a function of time and molecular environment
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Computational selectivity modelling for bromodomains: Insights into selectivity and discovery of new small-molecule hits
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Binding mode ensembles determine ligand efficacy at a GPCR
NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY
(2018)
391
S6
Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.
Molecular Omics
(2018)
14
218
(doi: 10.1039/c8mo00042e)