Data-Driven Drug Discovery and Molecular Informatics

Publications

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  • Currently displaying 221 - 240 of 559 publications
Author(s)
Publication title
Journal Name
Publication year
GBM Drug Bank-a new resource for glioblastoma drug discovery and informatics research.
F Svensson, B Westerman, T Würdinger, D Bailey
Neuro Oncol
(2018)
20
(doi: 10.1093/neuonc/noy122)
Discovery of a non-toxic [1,2,4]triazolo[1,5-a]pyrimidin-7-one (WS-10) that modulates ABCB1-mediated multidrug resistance (MDR)
L Chang, M Xiao, L Yang, S Wang, S-Q Wang, A Bender, A Hu, Z-S Chen, B Yu, H-M Liu
Bioorganic & medicinal chemistry
(2018)
26
(doi: 10.1016/j.bmc.2018.08.021)
A decision theoretic approach to model evaluation in computational drug discovery
O Watson, I Cortes-Ciriano, A Taylor, JA Watson
(2018)
Emerging Patents in the Therapeutic Areas of Glioma and Glioblastoma.
M Harris, F Svensson, L Kopanitsa, GR Ladds, D Bailey
Expert Opinion on Therapeutic Patents
(2018)
(doi: 10.1080/13543776.2018.1494155.)
Computer-Assisted Discovery of Retinoid X Receptor Modulating Natural Products and Isofunctional Mimetics.
D Merk, F Grisoni, L Friedrich, E Gelzinyte, G Schneider
J Med Chem
(2018)
61
(doi: 10.1021/acs.jmedchem.8b00494)
Extending in Silico Protein Target Prediction Models to Include Functional Effects
LH Mervin, AM Afzal, L Brive, O Engkvist, A Bender
Frontiers in Pharmacology
(2018)
9
(doi: 10.3389/fphar.2018.00613)
Endocrine-disrupting chemicals in aquatic environment: what are the risks for fish gametes?
O Carnevali, S Santangeli, I Forner-Piquer, D Basili, F Maradonna
Fish Physiol Biochem
(2018)
44
(doi: 10.1007/s10695-018-0507-z)
Identification of Nontoxic Substructures: A New Strategy to Avoid Potential Toxicity Risk
H Yang, L Sun, W Li, G Liu, Y Tang
Toxicological sciences : an official journal of the Society of Toxicology
(2018)
165
(doi: 10.1093/toxsci/kfy146)
In Silico Computational Transcriptomics Reveals Novel Endocrine Disruptors in Largemouth Bass ( Micropterus salmoides).
D Basili, J-L Zhang, J Herbert, K Kroll, ND Denslow, CJ Martyniuk, F Falciani, P Antczak
Environmental Science & Technology
(2018)
52
(doi: 10.1021/acs.est.8b02805)
Scaffold hopping from synthetic RXR modulators by virtual screening and de novo design
D Merk, F Grisoni, L Friedrich, E Gelzinyte, G Schneider
MedChemComm
(2018)
9
(doi: 10.1039/c8md00134k)
Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
I Cortés-Ciriano, J-K Lee, R Xi, D Jain, YL Jung, L Yang, D Gordenin, LJ Klimczak, C-Z Zhang, DS Pellman, PJ Park, OBOTPSVW Group, TITP-CAOWG Network
(2018)
(doi: 10.1101/333617)
Can the inhibition of cytochrome P450 in aquatic invertebrates due to azole fungicides be estimated with in silico and in vitro models and extrapolated between species?
M Gottardi, JD Tyzack, A Bender, N Cedergreen
Aquatic toxicology (Amsterdam, Netherlands)
(2018)
201
(doi: 10.1016/j.aquatox.2018.05.017)
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes.
CN Schlaffner, GJ Pirklbauer, A Bender, JAJ Steen, JS Choudhary
Journal of visualized experiments : JoVE
(2018)
2018
(doi: 10.3791/57633)
Multiclassification Prediction of Enzymatic Reactions for Oxidoreductases and Hydrolases Using Reaction Fingerprints and Machine Learning Methods
Y Cai, H Yang, W Li, G Liu, PW Lee, Y Tang
Journal of Chemical Information and Modeling
(2018)
58
(doi: 10.1021/acs.jcim.7b00656)
Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty
F Svensson, N Aniceto, U Norinder, I Cortes-Ciriano, O Spjuth, L Carlsson, A Bender
J Chem Inf Model
(2018)
58
(doi: 10.1021/acs.jcim.8b00054)
Corrigendum: 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
Frontiers in chemistry
(2018)
6
(doi: 10.3389/fchem.2018.00129)
A systematic and prospectively validated approach for identifying synergistic drug combinations against malaria.
Y KalantarMotamedi, RT Eastman, R Guha, A Bender
Malar J
(2018)
17
(doi: 10.1186/s12936-018-2294-5)
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
(doi: 10.1016/j.cell.2018.03.033)
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
(doi: 10.1016/j.cell.2018.02.060)
Special Issue: Cheminformatics in Drug Discovery
A Bender, N Brown
Chemmedchem
(2018)
13
(doi: 10.1002/cmdc.201800123)
Yusuf Hamied Department of Chemistry
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Cambridge
CB2 1EW
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enquiries@ch.cam.ac.uk
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