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Subramanian, Vigneshwari
32
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Online (32)
Mediatypes
Articles (Online) (13)
OpenAccess-fulltext (19)
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1
Computational approaches identify a transcriptomic fingerpr..:
Au Yeung, Victoria P.W.
;
Obrezanova, Olga
;
Zhou, Jiarui
...
Cell Biology and Toxicology. 40 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1007/..
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2
Blinded Predictions and Post Hoc Analysis of the Second Sol..:
Conn, Jonathan G. M.
;
Carter, James W.
;
Conn, Justin J. A.
...
Journal of Chemical Information and Modeling. 63 (2023) 4 - p. 1099-1113 , 2023
Link:
https://doi.org/10.1021/..
?
3
Interpretation of multi-task clearance models from molecula..:
Martínez Mora, Andrés
;
Mogemark, Mickael
;
Subramanian, Vigneshwari
.
Artificial Intelligence in the Life Sciences. 2 (2022) - p. 100048 , 2022
Link:
https://doi.org/10.1016/..
?
4
Multi-task convolutional neural networks for predicting in ..:
Martínez Mora, Andrés
;
Subramanian, Vigneshwari
;
Miljković, Filip
Journal of Computer-Aided Molecular Design. 36 (2022) 6 - p. 443-457 , 2022
Link:
https://doi.org/10.1007/..
?
5
Patient-specific Boolean models of signalling networks guid..:
Montagud, Arnau
;
Béal, Jonas
;
Tobalina, Luis
...
eLife. 11 (2022) - p. , 2022
Link:
https://doi.org/10.7554/..
?
6
Multisolvent Models for Solvation Free Energy Predictions U..:
Subramanian, Vigneshwari
;
Ratkova, Ekaterina
;
Palmer, David
...
Journal of Chemical Information and Modeling. 60 (2020) 6 - p. 2977-2988 , 2020
Link:
https://doi.org/10.1021/..
?
7
Signatures of cell death and proliferation in perturbation ..:
Szalai, Bence
;
Subramanian, Vigneshwari
;
Holland, Christian H
...
Nucleic Acids Research. 47 (2019) 19 - p. 10010-10026 , 2019
Link:
https://doi.org/10.1093/..
?
8
Toward Explainable Anticancer Compound Sensitivity Predicti..:
Manica, Matteo
;
Oskooei, Ali
;
Born, Jannis
...
Molecular Pharmaceutics. 16 (2019) 12 - p. 4797-4806 , 2019
Link:
https://doi.org/10.1021/..
?
9
3D proteochemometrics: using three-dimensional information ..:
Subramanian, Vigneshwari
;
Ain, Qurrat Ul
;
Henno, Helena
...
MedChemComm. 8 (2017) 5 - p. 1037-1045 , 2017
Link:
https://doi.org/10.1039/..
?
10
Predictive proteochemometric models for kinases derived fro..:
Subramanian, Vigneshwari
;
Prusis, Peteris
;
Xhaard, Henri
.
MedChemComm. 7 (2016) 5 - p. 1007-1015 , 2016
Link:
https://doi.org/10.1039/..
?
11
Polypharmacology modelling using proteochemometrics (PCM): ..:
Cortés-Ciriano, Isidro
;
Ain, Qurrat Ul
;
Subramanian, Vigneshwari
...
MedChemComm. 6 (2015) 1 - p. 24-50 , 2015
Link:
https://doi.org/10.1039/..
?
12
Visually Interpretable Models of Kinase Selectivity Related..:
Subramanian, Vigneshwari
;
Prusis, Peteris
;
Pietilä, Lars-Olof
..
Journal of Chemical Information and Modeling. 53 (2013) 11 - p. 3021-3030 , 2013
Link:
https://doi.org/10.1021/..
?
13
Blinded Predictions and Post Hoc Analysis of the Second Sol..:
Conn, Jonathan G. M
;
Carter, James W
;
Conn, Justin J. A
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976279/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
14
Blinded predictions and post-hoc analysis of the second sol..:
Conn, Jonathan G. M
;
Carter, James W
;
Conn, Justin J. A
...
https://strathprints.strath.ac.uk/83974/7/Conn_etal_JCIM_2023_Blinded_predictions_and_post_hoc_analysis_of_the_second_solubility_challenge_data.pdf. , 2023
Link:
https://strathprints.str..
?
15
Patient-specific Boolean models of signalling networks guid..:
Montagud, Arnau
;
Béal, Jonas
;
Tobalina, Luis
...
https://doi.org/10.7554/eLife.72626. , 2022
Link:
http://hdl.handle.net/21..
1-15