Informatics & Modeling Meetup

NYAGIM is excited to welcome members back for our first in-person event since 2019! Dr Stephen MacKinnon from Cyclica will present: "Proteome-Scale Drug-Target Interaction Predictions: Approaches & Applications" The location is JLABS @ NYC (101 6th Ave 3rd floor) & the talk will be followed by a food & drink reception. Please note that we are strictly limited to 70 attendees & we are not able to broadcast this event online so it will be an in-person event only. ABSTRACT Drug Target Interaction (DTI) predictions have recently gained widespread popularity with advances in machine learning & publicly available bioassay datasets, such as BindingDB, DrugBank, PubChem & ChEMBL. Machine learning based strategies frame DTI predictions as a discriminative supervised learning problem, whereby combined pairs of features derived from the ligand (drug) & protein (target) are classified as a binding (positive) or non-binding pair (negative).