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- Currently displaying 61 - 80 of 574 publications
Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection.
– Communications Biology
(2022)
5,
858
(doi: 10.1038/s42003-022-03763-5)
Monomerization of Homodimeric Trefoil Factor 3 (TFF3) by an Aminonitrile Compound Inhibits TFF3-Dependent Cancer Cell Survival.
– ACS pharmacology & translational science
(2022)
5,
761
(doi: 10.1021/acsptsci.2c00044)
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint Models Using Similarity to Training Data
(2022)
(doi: 10.1101/2022.08.11.503624)
MAVEN: Compound mechanism of action analysis and visualisation using transcriptomics and compound structure data in R/Shiny
(2022)
(doi: 10.1101/2022.07.20.500792)
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design.
– Journal of Chemical Information and Modeling
(2022)
62,
3486
(doi: 10.1021/acs.jcim.1c01334)
Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature
– ACS chemical biology
(2022)
17,
1733
PARP inhibition is a modulator of anti-tumor immune response in BRCA-deficient tumors.
– OncoImmunology
(2022)
11,
2083755
Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI)
– PLOS Computational Biology
(2022)
18,
e1010148
(doi: 10.1371/journal.pcbi.1010148)
Evaluation guidelines for machine learning tools in the chemical sciences.
– Nature Reviews Chemistry
(2022)
6,
428
(doi: 10.1038/s41570-022-00391-9)
A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis.
– Nature communications
(2022)
13,
2299
(doi: 10.1038/s41467-022-29998-8)
Targeting Cell Death Mechanism Specifically in Triple Negative Breast Cancer Cell Lines.
– Int J Mol Sci
(2022)
23,
4784
(doi: 10.3390/ijms23094784)
Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation
(2022)
(doi: 10.26434/chemrxiv-2022-prz2r)
Prediction of in Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure
– Mol Pharm
(2022)
19,
1488
Latent Variables Capture Pathway-Level Points of Departure in High-Throughput Toxicogenomic Data.
– Chemical Research in Toxicology
(2022)
35,
670
dialogi: Utilising NLP with chemical and disease similarities to drive the identification of Drug-Induced Liver Injury literature
(2022)
2022.03.11.483929
(doi: 10.1101/2022.03.11.483929)
DILIC: An AI based classifier to search for Drug-Induced Liver Injury literature
(2022)
2022.02.12.480184
(doi: 10.1101/2022.02.12.480184)
Deriving waveform parameters from calcium transients in human iPSC-derived cardiomyocytes to predict cardiac activity with machine learning
– Stem Cell Reports
(2022)
17,
556
(doi: 10.1016/j.stemcr.2022.01.009)
Integrating Cell Morphology with Gene Expression and Chemical Structure to Aid Mitochondrial Toxicity Detection
– biorxiv
(2022)
2022.01.07.475326
(doi: 10.1101/2022.01.07.475326)
DDREL: From drug-drug relationships to drug repurposing
– Intelligent Data Analysis
(2022)
26,
221
(doi: 10.3233/ida-215745)
Chapter 8: Using Artificial Intelligence for Drug Repurposing
(2022)
2022-January,
147
(doi: 10.1039/9781839163401-00147)