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- Currently displaying 121 - 140 of 560 publications
Artificial Intelligence in Drug Discovery and Computational Safety: What is Realistic, What are Illusions?
TOXICOLOGY LETTERS
(2021)
350
S49
Diversity-orientated synthesis of macrocyclic heterocycles using a double SNAr approach.
Organic & biomolecular chemistry
(2021)
19
6274
(doi: 10.1039/d1ob00612f)
A transcriptomics-based new approach methodology (NAM) identifies points of departure (PoDs) of adaptive stress in HepG2 cells
TOXICOLOGY LETTERS
(2021)
350
S216
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes using novel waveform parameters and a modified random forest algorithm
TOXICOLOGY LETTERS
(2021)
350
S61
Inferring longitudinal cascades of mechanistic events in drug-induced liver injury from transcriptomic and histopathology data using sequential pattern and rule mining
NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY
(2021)
394
S18
Opsins and gonadal circadian rhythm in the swordfish (Xiphias gladius) ovary: Their potential roles in puberty and reproductive seasonality
Gen Comp Endocrinol
(2020)
303
113707
(doi: 10.1016/j.ygcen.2020.113707)
De novo transcriptome assembly, functional annotation and characterization of the Atlantic bluefin tuna (Thunnus thynnus) larval stage.
Mar Genomics
(2020)
58
100834
(doi: 10.1016/j.margen.2020.100834)
Systematic Analysis of Protein Targets Associated with Adverse Events of Drugs from Clinical Trials and Postmarketing Reports
Chemical Research in Toxicology
(2020)
34
365
New Associations Between Drug-Induced Adverse Events in Animal Models and Humans Reveal Novel Candidate Safety Targets
Chemical research in toxicology
(2020)
34
438
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
Drug Discovery Today
(2020)
26
511
(doi: 10.1016/j.drudis.2020.12.009)
Using Predicted Bioactivity Profiles to Improve Predictive Modeling (vol 60, pg 2830, 2020)
J Chem Inf Model
(2020)
60
6722
(doi: 10.1021/acs.jcim.0c01327)
5-Phenyl-1,3,4-oxadiazol-2(3H)-ones Are Potent Inhibitors of Notum Carboxylesterase Activity Identified by the Optimization of a Crystallographic Fragment Screening Hit.
J Med Chem
(2020)
63
12942
(doi: 10.1021/acs.jmedchem.0c01391)
Network integration and modelling of dynamic drug responses at multi-omics levels.
Commun Biol
(2020)
3
573
(doi: 10.1038/s42003-020-01302-8)
Transcriptomics predicts compound synergy in drug and natural product treated glioblastoma cells.
PLoS One
(2020)
15
e0239551
(doi: 10.1371/journal.pone.0239551)
Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein-Ligand Predictions.
J Chem Inf Model
(2020)
60
4546
(doi: 10.1021/acs.jcim.0c00476)
Identification of SARS-CoV-2 induced pathways reveal drug repurposing strategies
(2020)
(doi: 10.1101/2020.08.24.265496)
Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding.
SLAS discovery : advancing life sciences R & D
(2020)
26
257
(doi: 10.1177/2472555220949495)
Screening of a Custom-Designed Acid Fragment Library Identifies 1‑Phenylpyrroles and 1‑Phenylpyrrolidines as Inhibitors of Notum Carboxylesterase Activity
J Med Chem
(2020)
63
9464
(doi: 10.1021/acs.jmedchem.0c00660)
Discovery of a heme-binding domain in a neuronal voltage-gated potassium channel
The Journal of biological chemistry
(2020)
295
13277
(doi: 10.1074/jbc.ra120.014150)
Insights into the synergistic mechanism of target resistance: A case study of N. lugens RDL-GABA receptors and fipronil
Biophys Chem
(2020)
265
106426
(doi: 10.1016/j.bpc.2020.106426)