AMMnet Discovery MMV tools webinar

The seminar consisted of three presentations.

First presentation described a new open-access pharmacometrics application called MMVSola, how it estimates the human PK and dose of investigational antimalarials and how the tool is used by discovery teams.

Second presentation focused on how Medicines for Malaria Venture (MMV) intends to build an Open Access Drug Design tool that utilizes machine learning (ML) methods to support scientists working in Global Health including, but not limited to, malaria and neglected tropical diseases (NTD). This tool will involve data modelling, generative design, filtering (using properties, drug metabolism, safety predictive models), synthesis prediction and synthetic target selection based on active learning.

Final presentation was on Ersilia Open Source Initiative. It is a research-oriented non-profit aimed at equipping laboratories in low-income countries with artificial intelligence (AI) tools for infectious disease research. They described their computational approach and infrastructure, focusing on how their AI/ML tools have advanced malaria drug discovery in resource-constrained settings and contribute towards a more egalitarian world of biomedical research.