Thomas E Hadfield

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 5

Top Topics

Electronic Health Record

Protein Protein

Machine Learning

Top Venues

Journal of chemical information and modeling

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

Publications

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)
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)
Thomas E Hadfield, Fergus Imrie, Andy Merritt, Kristian Birchall, Charlotte M Deane
Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration. Journal of chemical information and modeling 62 (10) (2022)