Polymer Informatics Solutions: Development and Deployment

Lead Research Organisation: University of Liverpool
Department Name: Chemistry

Abstract

The use of chemoinformatics methods which enables the selection and molecular design of small discrete molecules for pharmaceutical and other fine chemical applications is established, and these methods have been applied with tremendous success in current research programmes showing their power to "make better decisions faster". A need exists to develop, test and apply analogous methods in other areas, especially polymers. The design of innovative product technologies using polymers is very attractive because of the very large numbers of compositional and structural variations accessible, and their favourable safety, environmental and cost profile. Consequently, Unilever have invested in the development of "polymer informatics" over the last few years. The methods have been applied to technology developments in Home Care with a number of the resulting polymer design selections nearing commercial exploitation. However, the main challenges facing polymer informatics, and distinguishing it from "standard" cheminformatics, arise from the additional need to deal adequately with the distributions and uncertainties in composition and topology. There is a need to establish a robust and compact format for storing the information which will then be used for "sub-structure", similarity searching and QSAR (Quantitative Structure Activity Relationships) operations, which are necessary for the selection and design of novel polymers with improved characteristics.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509693/1 01/10/2016 30/09/2021
1795674 Studentship EP/N509693/1 01/10/2016 31/05/2021 Charmaine Chu
 
Description Using an existing Ames mutagenicity database, models for predicting Ames mutagenicity with good accuracy were built.
Pipeline pilot protocol for calculating the potential amphiphilicity of surfactant molecules was created.
Using a surfactant CMC database and potential amphiphilicity calculator, QSARs comparable with published QSARs were built.
Pipeline pilot protocol for visualisation of 3D pharmacophores of chemical library was created to allow viewing of the positions of the pharmacophores of a chemical library in 3D space.
Exploitation Route The potential amphiphilicity calculating protocol can be used to calculated potential amphiphilicity which can favour the development of detergents for industries e.g. project partner Unilever.
The visualisation of 3D pharmacophore can be use in drug discover in academic and industry for finding molecules within a chemical library with favourable pharmacophore in certain areas of 3D space.
Sectors Chemicals,Digital/Communication/Information Technologies (including Software),Pharmaceuticals and Medical Biotechnology

 
Description Models for predicting Ames mutagenicity with good accuracy can be useful for drug development in identifying possible non-mutagenic compounds. Pipeline pilot protocol for calculating the potential amphiphilicity of surfactant molecules can be used to aid development of detergents. Pipeline pilot protocol for visualisation of 3D pharmacophores of chemical library can be useful for lead-based drug discovery
First Year Of Impact 2021
Sector Chemicals,Digital/Communication/Information Technologies (including Software),Pharmaceuticals and Medical Biotechnology
Impact Types Economic

 
Title Ames prediction 
Description Using a published database, wanted to see if other well performing models can be created using a different range of descriptors or algorithms then the ones published with the database 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact Discovered duplicated in the original database and therefore curated it. Calculated models using the curated database but the result was poor. 
 
Title CMC QSARs 
Description CMC QSARs developed using the surfactant CMC database and the potential amphiphilicity calculator 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact CMC QSARs developed using the surfactant CMC database and the potential amphiphilicity calculator comparable with other published QSARs 
 
Title Chemical functionality visualisation 
Description Visualisation of the chemical functionalities of a chemical library as a whole 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact Visualisation of the chemical functionalities of a chemical library as a whole 
 
Title Detergent QSAR 
Description A selection of predictive models for the action of detergents using 2 datasets 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? No  
Impact confirmed that one dataset is too 'noisy' to obtain good models and analysed the models of the other dataset in attempt to work out mode of action 
 
Title Potential amphiphilicity calculator 
Description a Pipeline pilot protocol for calculating the potential amphiphilicity of a surfactant-like molecule 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact calculates the potential amphiphilicity of a surfactant-like molecule 
 
Title Surfactant CMC 
Description A database of surfactant CMC values, tracked back to the original paper to identify measuring methods etc where possible 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact Allows construction of QSAR models for checking the action of built protocol 
 
Description Unilever 
Organisation Unilever
Department Unilever UK R&D Centre Port Sunlight
Country United Kingdom 
Sector Private 
PI Contribution build a range of QSAR models using the database Unilever provided, created protocol for calculating a novel descriptor of interest, constructed data library for surfactant CMCs
Collaborator Contribution Provided database for model construction, initial idea for novel descriptor, initial data list for surfactant CMCs
Impact Potential amphiphilicity calculation protocol Surfactant CMC database
Start Year 2016
 
Title Potential Amphiphilicity 
Description A protocol developed to calculate a novel descriptor, potential amphiphilicity 
Type Of Technology Software 
Year Produced 2018 
Impact Allow the calculation of potential amphiphilicity which can link with amphiphilicity for analysis and/or prediction of surfactant actions 
 
Description MGMS Young modellers' Forum 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact conference by MGMS on computer modelling, mainly focused on molecular graphics, aim to exchange information on works within this area that have been done in different Universities
Year(s) Of Engagement Activity 2016,2017,2019
 
Description PGR symposium 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Postgraduate students
Results and Impact presentation of work done during PhD, mainly focusing on Ames project
Year(s) Of Engagement Activity 2021
 
Description UK QSAR & Cheminformatics Group Autumn 2017 Meeting 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact A conference attended to increase knowledge on researches that have been done/ongoing within the research area. A poster regarding work I've done was also presented there.
Year(s) Of Engagement Activity 2017
 
Description Work presentation to Unilever 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Industry/Business
Results and Impact Presentation of potential amphiphilicity calculator for surfactants online for the cheminformatic related team in Unilever
Year(s) Of Engagement Activity 2021