Martini parameter files for stabilising excipient simulation
Description
Parameter files (.gro, .mdp) for the simulation of stabilising excipients, which were used to study protein-excipient interaction and gain insight into their structure-activity relationship.
Protein formulations have issues surrounding their stability; currently, excipients are added to improve their colloidal and conformational stability. These are selected not for their ability to prevent aggregation per se but because of their exemplary safety profile. These excipients (polysorbates, Brij, fatty acid ethoxylates, fatty acids, sugars, liposaccharides, amino acids, phospholipids, glycerides, ceramides) were parameterised in the Martini forcefield or collected from the Martini website in order to be simulated in Gromacs and investigate the interaction between excipients and protein at high resolution, and probe the mechanism of aggregation-prone region shielding. These were used in the study of two proteins: HSA and insulin.
External URI
Related publication DOI
Subjects
- Excipients
- Structure-activity relationships (Biochemistry)
- Proteins -- Structure-activity relationships
- Proteins -- Stability
- Martini, parameters, excipient, polysorbate, surfactant, sugar, phospholipid, alkylsaccharide, stabilising, stabilizing, stability, protein
- Physical sciences::Chemistry::Pharmaceutical chemistry
- Q Science::QD Chemistry::QD450 Physical and theoretical chemistry
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
Research institutes and centres
- University of Nottingham, UK Campus::Biomolecular Sciences, Centre for
Deposit date
2025-01-14Alternative title
- Used in the paper: "Optimizing Excipient Properties to Prevent Aggregation in Biopharmaceutical Formulations"
Corporate creators
- Croda International PLC
Data type
Parameter filesContributors
- Thomas, Neil R
- Hirst, Jonathan D
- Laughton, Charles A
- Humphrey, James R
Funders
- Engineering & Physical Sciences Research Council
Grant number
- EP/S023054/1
Collection dates
- 2020-01-01 to 2023-01-01
Data collection method
Some collated from Martini website; others parameterised manually following their protocol. Briefly, coarse-grained parameters mapped onto atomistic simulation and iteratively modified until suitably representative.Provenance / lineage
https://cgmartini.nl/docs/downloads/Resource languages
- en