13 Aug 2018
Future Medicinal Chemistry
Authors: Matthew A Sellwood, Mohamed Ahmed, Marwin HS Segler & Nathan Brown
Abstract
There has been a great deal of hype surrounding the resurgence of Artificial Intelligence and Machine Learning. This commentary was published in Future Medicinal Chemistry as a brief overview of the AI and ML domains, their relevance in different aspects of drug discovery and, importantly, reflecting on managing expectations from different quarters. The key themes covered are molecular design approaches, including our recent paper on de novo design models, predictive modelling, synthesis planning, and closing the feedback loop to learn from our decisions.
Back to publications
Latest publications
07 Dec 2022
NeurIPS 2022 sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion
Read more
07 Dec 2022
EMNLP 2022 Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
Read more
03 Nov 2022
AKBC 2022 Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations
Read more