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Data-Driven Drug Discovery and Molecular Informatics

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  • Currently displaying 221 - 240 of 559 publications
A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria
Y KalantarMotamedi, RT Eastman, R Guha, A Bender
– Malaria journal
(2018)
17,
160
Comprehensive Characterization of Cancer Driver Genes and Mutations
MH Bailey, C Tokheim, E Porta-Pardo, S Sengupta, D Bertrand, A Weerasinghe, A Colaprico, MC Wendl, J Kim, B Reardon, PK-S Ng, KJ Jeong, S Cao, Z Wang, J Gao, Q Gao, F Wang, EM Liu, L Mularoni, C Rubio-Perez, N Nagarajan, I Cortés-Ciriano, DC Zhou, W-W Liang, JM Hess, VD Yellapantula, D Tamborero, A Gonzalez-Perez, C Suphavilai, JY Ko, E Khurana, PJ Park, EM Van Allen, H Liang, MC3 Working Group, Cancer Genome Atlas Research Network, MS Lawrence, A Godzik, N Lopez-Bigas, J Stuart, D Wheeler, G Getz, K Chen, AJ Lazar, GB Mills, R Karchin, L Ding
– Cell
(2018)
173,
371
Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics
L Ding, MH Bailey, E Porta-Pardo, V Thorsson, A Colaprico, D Bertrand, DL Gibbs, A Weerasinghe, K-L Huang, C Tokheim, I Cortés-Ciriano, R Jayasinghe, F Chen, L Yu, S Sun, C Olsen, J Kim, AM Taylor, AD Cherniack, R Akbani, C Suphavilai, N Nagarajan, JM Stuart, GB Mills, MA Wyczalkowski, BG Vincent, CM Hutter, JC Zenklusen, KA Hoadley, MC Wendl, L Shmulevich, AJ Lazar, DA Wheeler, G Getz, Cancer Genome Atlas Research Network
– Cell
(2018)
173,
305
Special Issue: Cheminformatics in Drug Discovery
A Bender, N Brown
– ChemMedChem
(2018)
13,
467
eMolTox: prediction of molecular toxicity with confidence.
C Ji, F Svensson, A Zoufir, A Bender
– Bioinformatics
(2018)
34,
2508
In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.
H Yang, L Sun, W Li, G Liu, Y Tang
– Front Chem
(2018)
6,
30
Common structural and pharmacophoric features of mPGES-1 and LTC4S.
NS Devi, P Paragi-Vedanthi, A Bender, M Doble
– Future medicinal chemistry
(2018)
10,
259
Gearing transcriptomics towards high-throughput screening: Compound shortlisting from gene expression using in silico information
N Aniceto, A Bender, F Nigsch
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Determining associations between transcriptomics and toxicity using co-expression network methods
B Alexander-Dann, T James, A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Understanding drug and compound combinations and modelling synergy - Methods and applications
A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
MD-assisted approach for designing multi-target ligands at A2AR and PDE10A that elevate cyclic AMP
L Kalash, I Winfield, D Safitri, M Bermudez, R Glen, G Ladds, A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Understanding the effect of arsenic treatment on breast cancer cell lines using gene expression analysis
LL Pruteanu, C Braicu, D Modos, A Jurj, L Raduly, R Cojocneanu-Petric, A Moldovan, A Bender, I Berindan-Neagoe
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Computational selectivity modelling for bromodomains: Insights into selectivity and discovery of new small-molecule hits
K Giblin, S Hughes, H Boyd, P Hansson, R Sheppard, T Hayhow, A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Information-derived adverse outcome pathways with a case study on structural cardiotoxicity
A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Developments in toxicogenomics: Understanding and predicting compound-induced toxicity from gene expression data
B Alexander-Dann, LL Pruteanu, E Oerton, N Sharma, I Berindan-Neagoe, D Módos, A Bender
– RSC Molecular Omics
(2018)
14,
218
Analysing matched molecular pair transformations in drug discovery projects as a function of time and molecular environment
S Ashenden, T Kogej, O Engkvist, E Rivers, A Madin, K Goldberg, I Storer, A Bender
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
In silico estimation of chemical aquatic toxicity on crustaceans using chemical category methods
Q Cao, L Liu, H Yang, Y Cai, W Li, G Liu, PW Lee, Y Tang
– Environmental Science Processes & Impacts
(2018)
20,
1234
Artificial intelligence for predicting molecular electrostatic potentials (ESPs): A step towards developing ESP-guided knowledge-based scoring functions
M Verdonk, R Lewis, A Bender, P Rathi
– ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256,
Binding mode ensembles determine ligand efficacy at a GPCR
M Bermudez, A Bender, G Wolber
– NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY
(2018)
391,
S6
Computer-aided design of multi-target ligands at A
L Kalash, C Val, J Azuaje, MI Loza, F Svensson, A Zoufir, L Mervin, G Ladds, J Brea, R Glen, E Sotelo, A Bender
– J Cheminform
(2017)
9,
67