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  • Currently displaying 61 - 80 of 582 publications
Author(s)
Publication title
Journal Name
Publication year
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective.
S Bonner, IP Barrett, C Ye, R Swiers, O Engkvist, A Bender, CT Hoyt, WL Hamilton
Briefings in bioinformatics
(2022)
23
scRNA-Seq-based drug repurposing targeting idiopathic pulmonary fibrosis (IPF)
A Liu, J-H Lee, N Han, A Bender
(2022)
Using biological and chemical information to improve understanding of drug mechanism of action on the systems-level
L Hosseini.Gerami
(2022)
Using transcriptomic data to detect, understand, and treat injury in the context of drug toxicity and fibrotic disease
A Liu
(2022)
Using chemical and biological data and AI for predictive safety - fundamental concepts, new readouts, applications, limitations
A Bender
Toxicology Letters
(2022)
368
Identification of potential biomarker candidates of drug-induced vascular injury (DIVI) in rats using gene expression and histopathology data
A Liu, J Munoz-Muriedas, A Bender, D Dalmas
(2022)
Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection.
S Seal, J Carreras-Puigvert, M-A Trapotsi, H Yang, O Spjuth, A Bender
Communications Biology
(2022)
5
Monomerization of Homodimeric Trefoil Factor 3 (TFF3) by an Aminonitrile Compound Inhibits TFF3-Dependent Cancer Cell Survival.
V Pandey, X Zhang, H-M Poh, B Wang, D Dukanya, L Ma, Z Yin, A Bender, G Periyasamy, T Zhu, KS Rangappa, B Basappa, PE Lobie
ACS Pharmacology & Translational Science
(2022)
5
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint Models Using Similarity to Training Data
S Seal, H Yang, M-A Trapotsi, S Singh, J Carreras-Puigvert, O Spjuth, A Bender
(2022)
Compound Repurposing Using Chemical and Biological Data – On Types of Information and Lessons Learned
A Bender
Compound Repurposing Using Chemical and Biological Data – On Types of Information and Lessons Learned
(2022)
MAVEN: Compound mechanism of action analysis and visualisation using transcriptomics and compound structure data in R/Shiny
L Hosseini-Gerami, RH Ballesteros, A Liu, H Broughton, DA Collier, A Bender
(2022)
DOCKSTRING: Easy Molecular Docking Yields Better Benchmarks for Ligand Design.
M García-Ortegón, GNC Simm, AJ Tripp, JM Hernández-Lobato, A Bender, S Bacallado
Journal of Chemical Information and Modeling
(2022)
62
Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature
M-A Trapotsi, E Mouchet, G Williams, T Monteverde, K Juhani, R Turkki, F Miljković, A Martinsson, L Mervin, KR Pryde, E Müllers, I Barrett, O Engkvist, A Bender, K Moreau
ACS Chem Biol
(2022)
17
PARP inhibition is a modulator of anti-tumor immune response in BRCA-deficient tumors.
AD Staniszewska, J Armenia, M King, C Michaloglou, A Reddy, M Singh, M San Martin, L Prickett, Z Wilson, T Proia, D Russell, M Thomas, O Delpuech, MJ O'Connor, E Leo, H Angell, V Valge-Archer
OncoImmunology
(2022)
11
Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI)
A Liu, N Han, J Munoz-Muriedas, A Bender
PLOS Computational Biology
(2022)
18
Evaluation guidelines for machine learning tools in the chemical sciences
A Bender, N Schneider, M Segler, W Patrick Walters, O Engkvist, T Rodrigues
Nature reviews. Chemistry
(2022)
6
A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis
J Brooks-Warburton, D Modos, P Sudhakar, M Madgwick, JP Thomas, B Bohar, D Fazekas, A Zoufir, O Kapuy, M Szalay-Beko, B Verstockt, LJ Hall, A Watson, M Tremelling, M Parkes, S Vermeire, A Bender, SR Carding, T Korcsmaros
Nature Communications
(2022)
13
Targeting Cell Death Mechanism Specifically in Triple Negative Breast Cancer Cell Lines.
L-L Pruteanu, C Braicu, D Módos, M-A Jurj, L-Z Raduly, O Zănoagă, L Magdo, R Cojocneanu, S Paşca, C Moldovan, AI Moldovan, AB Ţigu, E Gurzău, L Jäntschi, A Bender, I Berindan-Neagoe
International journal of molecular sciences
(2022)
23
Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation
M Thomas, NM O'Boyle, A Bender, C de Graaf
(2022)
Prediction of In Vivo Pharmacokinetic Parameters and Time-Exposure Curves in Rats Using Machine Learning from the Chemical Structure
O Obrezanova, A Martinsson, T Whitehead, S Mahmoud, A Bender, F Miljković, P Grabowski, B Irwin, I Oprisiu, G Conduit, M Segall, GF Smith, B Williamson, S Winiwarter, N Greene
Molecular Pharmaceutics
(2022)
19