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- Currently displaying 201 - 220 of 584 publications
Correction to: Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.
BMC Neurol
(2019)
19
16
(doi: 10.1186/s12883-019-1240-7)
In silico prediction of chemical reproductive toxicity using machine learning.
Journal of applied toxicology : JAT
(2019)
39
844
(doi: 10.1002/jat.3772)
OP10 Systems genomics of ulcerative colitis: combining GWAS and signalling networks for patient stratification and individualised drug targeting in ulcerative colitis
Journal of Crohn's and Colitis
(2019)
13
S006
(doi: 10.1093/ecco-jcc/jjy222.009)
In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning
Toxicology Research
(2019)
8
341
(doi: 10.1039/c8tx00331a)
P011 Signalling and transcriptional network propagation uncovers novel ulcerative colitis pathogenetic pathways from single-nucleotide polymorphisms
Journal of Crohn's and Colitis
(2019)
13
S091
(doi: 10.1093/ecco-jcc/jjy222.135)
Traditional Chinese Medicine Herbal Drugs: From Heritage to Future Developments
(2019)
32
59
(doi: 10.1007/978-3-030-11751-1_4)
SYSTEMS GENOMICS OF ULCERATIVE COLITIS: COMBINING GWAS, SIGNALLING AND TRANSCRIPTIONAL NETWORKS TO UNCOVER NOVEL PATHOGENIC PATHWAYS
GASTROENTEROLOGY
(2019)
156
S605
Computational Prediction of Site of Metabolism for UGT-Catalyzed Reactions
Journal of chemical information and modeling
(2018)
59
1085
(doi: 10.1021/acs.jcim.8b00851)
Maximizing gain in high-throughput screening using conformal prediction.
Journal of cheminformatics
(2018)
10
7
(doi: 10.1186/s13321-018-0260-4)
ADMET-score – a comprehensive scoring function for evaluation of chemical drug-likeness
MedChemComm
(2018)
10
148
(doi: 10.1039/C8MD00472B)
Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs.
Nat Commun
(2018)
9
4699
(doi: 10.1038/s41467-018-07239-1)
Discovery of a non-toxic [1,2,4]triazolo[1,5-a]pyrimidin-7-one (WS-10) that modulates ABCB1-mediated multidrug resistance (MDR)
Bioorganic & Medicinal Chemistry
(2018)
26
5974
(doi: 10.1016/j.bmc.2018.10.027)
Prediction of Farnesoid X Receptor Disruptors with Machine Learning Methods.
Chemical Research in Toxicology
(2018)
31
1128
Information-Derived Mechanistic Hypotheses for Structural Cardiotoxicity.
Chemical research in toxicology
(2018)
31
1119
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks
Journal of chemical information and modeling
(2018)
59
1269
(doi: 10.1021/acs.jcim.8b00542)
Discovery of a small-molecule inhibitor of specific serine residue BAD phosphorylation
Proceedings of the National Academy of Sciences of the United States of America
(2018)
115
E10505
(doi: 10.1073/pnas.1804897115)
Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures.
Frontiers in pharmacology
(2018)
9
1096
(doi: 10.3389/fphar.2018.01096)
ADMETopt: A Web Server for ADMET Optimization in Drug Design via Scaffold Hopping.
J Chem Inf Model
(2018)
58
2051
(doi: 10.1021/acs.jcim.8b00532)
Prospectively Validated Proteochemometric Models for the Prediction of Small-Molecule Binding to Bromodomain Proteins
Journal of chemical information and modeling
(2018)
58
1870
(doi: 10.1021/acs.jcim.8b00400)
Discovering Highly Potent Molecules from an Initial Set of Inactives Using Iterative Screening
J Chem Inf Model
(2018)
58
2000
(doi: 10.1021/acs.jcim.8b00376)