Data-Driven Drug Discovery and Molecular Informatics

Publications

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  • Currently displaying 181 - 200 of 574 publications
Author(s)
Publication title
Journal Name
Publication year
A de novo transcriptome assembly approach elucidates the dynamics of ovarian maturation in the swordfish (Xiphias gladius).
G Gioacchini, L Marisaldi, D Basili, M Candelma, P Pignalosa, R Aiese Cigliano, W Sanseverino, G Hardiman, O Carnevali
Sci Rep
(2019)
9
(doi: 10.1038/s41598-019-43872-6)
A decision-theoretic approach to the evaluation of machine learning algorithms in computational drug discovery.
OP Watson, I Cortes-Ciriano, AR Taylor, JA Watson
Bioinformatics
(2019)
35
(doi: 10.1093/bioinformatics/btz293)
Insights into mechanisms and severity of drug-induced liver injury via computational systems toxicology approach.
Y Peng, Z Wu, H Yang, Y Cai, G Liu, W Li, Y Tang
Toxicology letters
(2019)
312
(doi: 10.1016/j.toxlet.2019.05.005)
Characterizing ABC-Transporter Substrate-Likeness Using a Clean-Slate Genetic Background.
A Sokolov, S Ashenden, N Sahin, R Lewis, N Erdem, E Ozaltan, A Bender, FP Roth, M Cokol
Frontiers in pharmacology
(2019)
10
(doi: 10.3389/fphar.2019.00448)
Detecting the mutational signature of homologous recombination deficiency in clinical samples.
DC Gulhan, JJ-K Lee, GEM Melloni, I Cortés-Ciriano, PJ Park
Nature genetics
(2019)
51
(doi: 10.1038/s41588-019-0390-2)
Sulfated Ceria Catalyzed Synthesis of Imidazopyridines and Their Implementation as DNA Minor Groove Binders.
S Mohan, S Rangappa, NC Anilkumar, JE Fuchs, A Bender, Basappa, KS Rangappa, R Bhatnagar
Chemistry and Biodiversity
(2019)
16
(doi: 10.1002/cbdv.201800435)
Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction.
U Norinder, F Svensson
Journal of Chemical Information and Modeling
(2019)
59
(doi: 10.1021/acs.jcim.9b00027)
Linked-read analysis identifies mutations in single-cell DNA-sequencing data
CL Bohrson, AR Barton, MA Lodato, RE Rodin, LJ Luquette, VV Viswanadham, DC Gulhan, I Cortés-Ciriano, MA Sherman, M Kwon, ME Coulter, A Galor, CA Walsh, PJ Park
Nat Genet
(2019)
51
(doi: 10.1038/s41588-019-0366-2)
In Silico Prediction of Endocrine Disrupting Chemicals Using Single-Label and Multilabel Models.
L Sun, H Yang, Y Cai, W Li, G Liu, Y Tang
J Chem Inf Model
(2019)
59
(doi: 10.1021/acs.jcim.8b00551)
Synthesis of CC, CN coupled novel substituted dibutyl benzothiazepinone derivatives and evaluation of their thrombin inhibitory activity
CP Baburajeev, CD Mohan, V Pandey, S Rangappa, N Shivalingegowda, L Kalash, S Devaraja, A Bender, PE Lobie, KS Rangappa, Basappa
Bioorganic chemistry
(2019)
87
(doi: 10.1016/j.bioorg.2019.03.004)
Insights into pesticide toxicity against aquatic organism: QSTR models on Daphnia Magna
L He, K Xiao, C Zhou, G Li, H Yang, Z Li, J Cheng
Ecotoxicology and Environmental Safety
(2019)
173
(doi: 10.1016/j.ecoenv.2019.02.014)
Prediction of UGT-mediated Metabolism Using the Manually Curated MetaQSAR Database.
A Mazzolari, AM Afzal, A Pedretti, B Testa, G Vistoli, A Bender
ACS medicinal chemistry letters
(2019)
10
(doi: 10.1021/acsmedchemlett.8b00603)
From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL
A Liu, P Trairatphisan, E Gjerga, A Didangelos, J Barratt, J Saez-Rodriguez
(2019)
(doi: 10.1101/541888)
Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies (vol 17, pg 58, 2017)
E Oerton, A Bender
BMC neurology
(2019)
19
(doi: 10.1186/s12883-019-1240-7)
In silico prediction of chemical reproductive toxicity using machine learning.
C Jiang, H Yang, P Di, W Li, Y Tang, G Liu
Journal of applied toxicology : JAT
(2019)
39
(doi: 10.1002/jat.3772)
Systems genomics of ulcerative colitis: combining GWAS and signalling networks for patient stratification and individualised drug targeting in ulcerative colitis
J Brooks, D Modos, P Sudhakar, D Fazekas, A Zoufir, A Watson, M Tremelling, B Verstockt, S Vermeire, A Bender, S Carding, T Korcsmaros
Journal of Crohn's and Colitis
(2019)
13
(doi: 10.1093/ecco-jcc/jjy222.009)
Signalling and transcriptional network propagation uncovers novel ulcerative colitis pathogenetic pathways from single-nucleotide polymorphisms
D Modos, J Brooks, P Sudhakar, B Verstockt, B Alexander-Dann, A Zoufir, D Fazekas, S Vermeire, T Korcsmaros, A Bender
Journal of Crohn's and Colitis
(2019)
13
(doi: 10.1093/ecco-jcc/jjy222.135)
In silico prediction of chemical aquatic toxicity for marine crustaceans via machine learning
L Liu, H Yang, Y Cai, Q Cao, L Sun, Z Wang, W Li, G Liu, PW Lee, Y Tang
Toxicology Research
(2019)
8
(doi: 10.1039/c8tx00331a)
Computational Prediction of Site of Metabolism for UGT-Catalyzed Reactions
Y Cai, H Yang, W Li, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling
(2019)
59
(doi: 10.1021/acs.jcim.8b00851)
SYSTEMS GENOMICS OF ULCERATIVE COLITIS: COMBINING GWAS, SIGNALLING AND TRANSCRIPTIONAL NETWORKS TO UNCOVER NOVEL PATHOGENIC PATHWAYS
J Brooks, D Modos, P Sudhakar, B Verstockt, B Alexander-Dann, A Zoufir, D Fazekas, M Tremelling, A Watson, S Carding, S Vermeire, A Bender, T Korcsmaros
GASTROENTEROLOGY
(2019)
156
Yusuf Hamied Department of Chemistry
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