Vigneshwari Subramanian

Toward Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-Based Convolutional Encoders

Matteo Manica, Ali Oskooei, Jannis Born et al. · Molecular Pharmaceutics · 2019 · 153 citations · Full text

Pharmacy, Oncology, Pharmacology +14

Polypharmacology modelling using proteochemometrics (PCM): recent methodological developments, applications to target families, and future prospects

Isidro Cortés‐Ciriano, Qurrat Ul Ain, Vigneshwari Subramanian et al. · MedChemComm · 2014 · 124 citations · Full text

Pharmacy, Medicinal Chemistry, Pharmacology +17

Patient-specific Boolean models of signalling networks guide personalised treatments

Arnau Montagud, Jonas Béal, Luis Tobalina et al. · eLife · 2022 · 97 citations · Full text

Medicine, Bioinformatics, Oncology +16

Signatures of cell death and proliferation in perturbation transcriptomics data—from confounding factor to effective prediction

Bence Szalai, Vigneshwari Subramanian, Christian H. Holland et al. · Nucleic Acids Research · 2019 · 80 citations · Full text

Life Sciences, Bioinformatics, Cancer Systems Biology +6

Visually Interpretable Models of Kinase Selectivity Related Features Derived from Field-Based Proteochemometrics

Vigneshwari Subramanian, Peteris Prūsis, Lars‐Olof Pietilä et al. · Journal of Chemical Information and Modeling · 2013 · 37 citations

Pharmacy, Medicinal Chemistry, Pharmacology +17