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Active STUDENTSHIP UKRI Gateway to Research

Predicting and controlling higher order structures for the development of therapeutic peptides


Funder Engineering and Physical Sciences Research Council
Recipient Organization University of Strathclyde
Country United Kingdom
Start Date Sep 30, 2024
End Date Sep 29, 2028
Duration 1,460 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2925304
Grant Description

Background

Peptide drug candidates (PDCs) and their lipidated forms represent a growth area in delivering new therapeutic modalities for addressing unmet clinical need. Unmodified PDCs generally suffer from low circulation half-lives, requiring multiple dosing, chemical modifications to prolong circulation half-life, or incorporation into controlled release delivery systems.

Lipidated PDCs have emerged as a promising strategy to prolong systemic exposure to PDCs. However, their propensity to self-associate under formulation conditions has hampered their clinical translation. An underpinning gap in our knowledge base regarding PDC development is understanding the molecular determinants which define PDC self-association.

Project Objective

Undesirable developability attributes pose a major drawback to the clinical and commercial translation of chemically-modified (e.g., lipidated) PDCs. The commercial translation of these drug products is often hampered by a lack of fundamental knowledge of their solution-phase behaviour and the interactions that drive self-association. The term aggregation encompasses many types of interactions promoting self-association, ranging from dimerization to fibrillation.

Aggregates can pose severe developability risks, including reduced therapeutic efficacy, immunogenicity, and adverse events. A key challenge and research question in the development of biotherapeutics is defining the sequence and structural determinants that influence undesirable developability attributes. Through developing a computational and analytical framework a number of critical research questions concerning lipidated PDC developability will be addressed.

The objective of this studentship is to develop an integrated computational and analytical framework for understanding the mechanisms driving PDC aggregation. This information will then be used to guide chemical and formulation-based strategies to mitigate self-association. The desired outcome will be a framework to design next-generation PDCs with enhanced physicochemical properties for downstream therapeutic development.

All Grantees

University of Strathclyde

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