Vigneshwari Subramanian

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 5

Top Topics

Learning Models

Convolutional Neural Networks

Predictive Features

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Publications

Jonathan G. M. Conn, James W. Carter, Justin J. A. Conn, Vigneshwari Subramanian, Andrew Baxter, Ola Engkvist, Antonio Llinàs, Ekaterina Ratkova, Stephen D. Pickett, James L. McDonagh, David S. Palmer
Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models. J. Chem. Inf. Model. 63 (4) (2023)
Andrés Martínez Mora, Vigneshwari Subramanian, Filip Miljkovic
Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images. J. Comput. Aided Mol. Des. 36 (6) (2022)
Vigneshwari Subramanian, Ekaterina Ratkova, David Palmer, Ola Engkvist, Maxim V. Fedorov, Antonio Llinas
Multisolvent Models for Solvation Free Energy Predictions Using 3D-RISM Hydration Thermodynamic Descriptors. J. Chem. Inf. Model. 60 (6) (2020)
Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders. CoRR (2019)
Ali Oskooei, Jannis Born, Matteo Manica, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks. CoRR (2018)
Vigneshwari Subramanian, Peteris Prusis, Lars-Olof Pietilä, Henri Xhaard, Gerd Wohlfahrt
Visually Interpretable Models of Kinase Selectivity Related Features Derived from Field-Based Proteochemometrics. J. Chem. Inf. Model. 53 (11) (2013)