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Our Capabilities
MS-Based Technologies
- Orbitrap Fusion
- LC-MS (XEVO)
- IM-MS (SYNAPT)
UHPLC
- Multi-angle Light Scattering (MALS)
- IEX
Capillary Electrophoresis
- cIEF
- CZE
- Fast Glycan Kit
- mRNA
- CE-SDSMW
HDX
- Tertiary structure analysis
Enable characterisation of antibodies and new modalities of pharmaceutical drugs such as mRNA, bispecific antibodies, fusion proteins, and other recombinant proteins. Using these complementary skills as experienced analytical chemists, chemical engineers and computer scientists, we can advance the development of novel approaches for rapid and automated analysis of pharmaceutical products.
Our Technologies
GLYCAN CHARACTERISATION
GLYCOMICS
- Glycan profiling of purified glycoproteins, cells, serum or tissues
- Monosaccharide analysis - pharmaceutical and food products
DETAIL STRUCTURAL ELUCIDATION
- Collision Cross Section (CCS) can separate linkage isomers
GLYCOPROTEOMICS
- Site analysis of purified glycoproteins and quantitative specific site abundance by glycan structures
INTACT GLYCAN STRUCTURES
- Direct observation of glycan pairing on intact glycan
AGGREGATION AND OTHER DEVELOPABILITY ATTRIBUTES
EXPERIMENTAL CHARACTERISATION
- Structural and chemical characterisation of aggregates
- Polyreactivity assay panel for various mechanisms
- Other characterisation assays for developability attributes
THEORETICAL MODELS
- Rate modelling for aggregation kinetics across bioprocess parameters
- In silico models to identify sequence liabilities for developability attributes
DIGITALISATION AND MODELLING
AUTOMATED ANALYTICS
- Anchored technologies in machine learning modelling to assist optimization of bioprocesses for better quality protein therapeutics by monitoring vital components involved in cell culture
- Digital solution for semi-automated analytics and machine learning models for CQA monitoring and control
PREDICITVE MODELS FOR QUALITY MONITORING AND CONTROL
- Models that can predict aggregation prone protein regions for the use of biotherapeutic discovery and manufacturing campaigns
Our Track Record
Featured publications:
- Sean Chia, Shi Jie Tay, Zhiwei Song, Yuansheng Yang, Ian Walsh and Kuin Tian Pang (2023) Enhancing pharmacokinetic and pharmacodynamic properties of recombinant therapeutic proteins by manipulation of sialic acid content. Biomedicine & Pharmacotherapy 163: 114757
- Kuin Tian Pang, Yuan Sheng Yang, Wei Zhang, Ying Swan Ho, Pietro Sormanni, Thomas C.T. Michaels, Ian Walsh and Sean Chia (2023) Understanding and controlling the molecular mechanisms of protein aggregation in mAb therapeutics. Biotechnology Advances 67: 108192
- Sean Chia, Gavin Teo, Shi Jie Tay, Larry Loo Sai Weng, Corrine Wan, Sim Lyn Chiin, Hanry Yu, Ian Walsh and Kuin Tian Pang (2022) An Integrative Glycomic Approach for Quantitative Meat Species Profiling. Foods 11(13): 1952 Ian Walsh, Matthew Myint, Terry Nguyen-Khuong, Ying Swan Ho, Say Kong Ng and Meiyappan Lakshmanan (2022) Harnessing the potential of machine learning for advancing “Quality by Design” in biomanufacturing. mAbs 14(1)
- Kuin Tian Pang, Shi Jie Tay, Corrine Wan, Ian Walsh, Matthew S.F. Choo, Yuan Sheng Yang, Andre Choo, Ying Swan Ho and Terry Nguyen-Khuong (2021) Semi-automated Glycoproteomic Data Analysis of LC-MS data using GlycopeptideGraphMS in Process Development of Monoclonal Antibody Biologics. Frontiers in Chemistry-Analytical Chemistry 9: 661406
LANDMARK PATENT & IP:
- Method for identifying an unknown biological sample from multiple attributes (2022)
- Methods, Apparatus, and Computer-Readable Media for Glycopeptide Identification (2021)
The Team
Dr Ian Walsh
ian_walsh@bti.a-star.edu.sg
Principal Scientist I
PhD in Bioinformatics (2009), University College Dublin, Ireland
Research Focus / Interest
- Advancing tools for the analysis of protein glycosylation
- Novel adaptive computational models to interpret and control bioprocesses
- Machine learning
- Data analytics
Dr Qiu Beiying
qiu_beiying@bti.a-star.edu.sg
Senior Scientist I
PhD in Pharmacology (2009), Shanghai Institute of Materia Medica, Chinese Academy of Sciences, China
Research Focus / Interest
- Developing novel analytical platforms for biomanufacturing
- Discovering and validating novel drug targets in metabolic diseases
- High-throughput and phenotypic cell-based assay development
Dr Sean Chia
sean_chia@bti.a-star.edu.sg
Senior Scientist I
PhD in Biophysics (2020), University of Cambridge, United Kingdom
Research Focus / Interest
- New approaches and analytical tools for antibody and biotherapeutic developability profiling
