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UOS

PRIMED for Medicinal Chemistry: Precision AI-Informed Molecular Editing

University of St Andrews School of Chemistry
βœ“ 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

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Why This Research Matters

This research addresses critical industrial challenges in halogenation, promoting sustainable, selective, and late-stage chemical functionalisation. It enables development of advanced pharmaceuticals and agrochemicals while reducing environmental hazards and dependency on fragile chemical supply chains.

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
3500 Citations
30 h-index
Google Scholar

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

2018
Biosynthesis of fluorinated natural products
This paper uncovered enzymes responsible for the biosynthesis of fluorinated compounds, opening new avenues for bioengineering fluorine incorporation.
2020
Molecular insights into enzymatic fluorination
Provided detailed mechanistic understanding of fluorination enzymes, enhancing potential for their use in green chemistry.
2016
Characterization of biosynthetic pathways for complex natural products
Mapped several biosynthetic routes, informing synthetic biology approaches to natural product derivatization.