Oliver M Turnbull

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Network

Machine Learning

Inflammatory Response

Top Venues

Communications biology

Journal of chemical information and modeling

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

Publications

Matthew I J Raybould, Oliver M Turnbull, Annabel Suter, Bora Guloglu, Charlotte M Deane
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications biology 7 (1) (2024)
Matthew I J Raybould, Oliver M Turnbull, Annabel Suter, Bora Guloglu, Charlotte M Deane
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications biology 7 (1) (2024)
Matthew I J Raybould, Oliver M Turnbull, Annabel Suter, Bora Guloglu, Charlotte M Deane
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications biology 7 (1) (2024)
Matthew I J Raybould, Oliver M Turnbull, Annabel Suter, Bora Guloglu, Charlotte M Deane
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications biology 7 (1) (2024)
Matthew I J Raybould, Oliver M Turnbull, Annabel Suter, Bora Guloglu, Charlotte M Deane
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling. Communications biology 7 (1) (2024)
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)