Vijil Chenthamarakshan

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 6

Top Topics

Mass Spectrometry

Electronic Health Record

Machine Learning

Top Venues

Journal of chemical information and modeling

Communications chemistry

Science advances

This page only lists publications with an associated author ORCID identifier.

Publications

Vijil Chenthamarakshan, Samuel C Hoffman, C David Owen, Petra Lukacik, Claire Strain-Damerell, Daren Fearon, Tika R Malla, Anthony Tumber, Christopher J Schofield, Helen M E Duyvesteyn, Wanwisa Dejnirattisai, Loic Carrique, Thomas S Walter, Gavin R Screaton, Tetiana Matviiuk, Aleksandra Mojsilovic, Jason Crain, Martin Austin Walsh, David I Stuart, Payel Das
Accelerating drug target inhibitor discovery with a deep generative foundation model. Science advances 9 (25) (2023)
Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E Hadfield, Oliver M Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M Deane
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening. Journal of chemical information and modeling 63 (10) (2023)
Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E Hadfield, Oliver M Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M Deane
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening. Journal of chemical information and modeling 63 (10) (2023)
Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E Hadfield, Oliver M Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M Deane
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening. Journal of chemical information and modeling (2023)
Eleni E Litsa, Vijil Chenthamarakshan, Payel Das, Lydia E Kavraki
An end-to-end deep learning framework for translating mass spectra to de-novo molecules. Communications chemistry 6 (1) (2023)
Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E Hadfield, Oliver M Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M Deane
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening. Journal of chemical information and modeling (2023)