UOS
PRIMED for Medicinal Chemistry: Precision AI-Informed Molecular Editing
β Fully Funded
bioinformatics
molecular biology
synthetic chemistry
artificial intelligence
medicinal chemistry
enzymology
microbiology
organic chemistry
Leverage AI to drive precision enzymatic halogenation and molecular editing. Transform drug discovery by integrating AI with chemistry for selective late-stage halogenation.
AI-generated overview
Enzymatic Halogenation
AI in Chemistry
Molecular Diversification
Medicinal Chemistry
Synthetic Chemistry
Bioinformatics
Project Description
The PhD focuses on innovative precision molecule editing and diversification. PRIMED combines late stage enzymatic halogenation with synthetic diversification of aryl and allyl halides. Formation of C-X bonds (where X is F, Cl, Br, or I) is crucial for pharmaceutical and agrochemical industries. Halogenation modulates bioactivity, bioavailability, and metabolic stability, providing a reactive and selectively functionalisable handle for molecular building. Current industrial methods require Cl2 and Br2, have fragile supply chains, introduce C-X bonds early, lack selectivity, and produce hard-to-separate mixtures. Consequently, only simple halogenated building blocks are produced. Enzymes offer exquisite selectivity, enabling precision late-stage halogenation with salt as the halogen source, generating a single product and accepting complex bioactive scaffolds as substrates. You will engage in multidisciplinary research within an international, inclusive group focusing on medicinal chemistry. The work involves synthesising and enzymatically halogenating complex molecules to develop precision editing methods. Candidates will apply AI and machine learning tools embedded in chemistry, biochemistry, and enzymology to innovate halogenation processes and synthetic diversification. Collaboration between bioinformatics, synthetic biology, and synthetic chemistry will enhance Development of selective enzymatic processes transforming pharmaceutical and agrochemical synthesis. Creation of sustainable, precision halogenation techniques avoiding hazardous reagents. Progress towards AI-informed methodologies for molecular diversification supporting drug discovery. Publication of innovative research advancing medicinal chemistry and synthetic biochemistry interface Improving halogenation selectivity transforms pharmaceutical and agrochemical production efficiency, sustainability, and innovation. Addressing current industrial limitations reduces environmental impact and reliance on unstable supply chains. This research enables production of complex bioactive molecules with precision functionalisation, enhancing future drug development and enabling new chemical entities.
Entry Requirements
Exceptional, talented candidates with strong backgrounds and excellent first degree or masters with prior research experience are sought. Skills in AI plus chemistry or enzymology, medicinal chemistry, software engineering in chemistry/biochemistry, synthetic organic chemistry (multi-step/total synthesis/natural products), enzymology, molecular biology, microbiology, or bioinformatics are desirable.
How to Apply
Applications are accepted all year round. We aim to appoint by May but will hold the position open until suitable candidates are found.
Eligibility
UK/Home
EU
International
Supervisor Profile
PR
Prof Rebecca Goss
University of St Andrews, School of Chemistry
Prof Rebecca Goss leads a diverse international research group focused on medicinal chemistry integrating bioinformatics, synthetic biology, and chemistry. Her work advances enzymatic halogenation and molecular diversification using AI. She holds the EPSRC Open Plus Fellowship: PRIMED for Diversification, fostering innovative precision chemistry.
Key Publications
Biosynthesis of fluorinated natural products
This paper uncovered enzymes responsible for the biosynthesis of fluorinated compounds, opening new avenues for bioengineering fluorine incorporation.
Molecular insights into enzymatic fluorination
Provided detailed mechanistic understanding of fluorination enzymes, enhancing potential for their use in green chemistry.
Characterization of biosynthetic pathways for complex natural products
Mapped several biosynthetic routes, informing synthetic biology approaches to natural product derivatization.