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Subramanian, Vigneshwari
32  results:
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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/..
 
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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...
 
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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..
 
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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..
 
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