Iterative simulation, artificial intelligence and machine learning-guided design of tide aptamers based on structural characterisation of conotoxin/nAChR interactions
Abstract
The aim of our multidisciplinary research program is to bring together expertise in peptide chemistry, protein biochemistry, structural biology, computational machine learning and artificial intelligence to establish the mechanism of action (MOA) of conotoxins against the human muscle type nicotinic acetylcholine receptor (nAChR). We will then use this information to guide the development of anti-toxin cyclic peptide aptamers as medical countermeasures (MCMs) that can bind to adult muscle nAChRs.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 19, 2022
- Source ID
- HDTRA12210001
Entities
People
- Andrew G Jamieson
Organizations
- Defense Threat Reduction Agency
- University of Glasgow