March 21, 2024, 4:42 a.m. | Antonia Calvi, Th\'eophile Gaudin, Dominik Miketa, Dominique Sydow, Liam Wilbraham

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.13005v1 Announce Type: cross
Abstract: Assessing whether a molecule can be synthesised is a primary task in drug discovery. It enables computational chemists to filter for viable compounds or bias molecular generative models. The notion of synthesisability is dynamic as it evolves depending on the availability of key compounds. A common approach in drug discovery involves exploring the chemical space surrounding synthetically-accessible intermediates. This strategy improves the synthesisability of the derived molecules due to the availability of key intermediates. Existing …

abstract arxiv availability bias computational cs.lg discovery drug discovery dynamic filter generative generative models key notion physics.chem-ph q-bio.bm scoring type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior ML Engineer

@ Carousell Group | Ho Chi Minh City, Vietnam

Data and Insight Analyst

@ Cotiviti | Remote, United States