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The Team
Group Leader
Head of Department of Chemistry
University of Strathclyde
Tell Tuttle’s research is focused on the concept of “reducing molecular search spaces”. The group works closely with experimental colleagues to address practical problems in the areas of molecular structure, molecular recognition, molecular reactivity and molecular properties. The understanding derived from the computational and theoretical methods employed in this research results in the generation of predictive models that are used to design molec- ular-based solutions to arange of prob- lems, from fields as diverse as fundamental chemistry through to drug discovery,and from nanotechnology through to organic elec- tronics.
Group Leader
Professor of Chemistry
University of Strathclyde
David Palmer's research group develop theory, simulation and informatics methods to study complex biochemical systems. Recent projects have included enzyme redesign for uses in food manufacturing (in collaboration with Chr. Hansen A/S) and the development of new methods for computational drug discovery (in collaboration with GSK and AstraZeneca).
David is also Founding Director and Chief Scientific Officer of Dxcover, a University spinout company that is developing the world's first cost-effective diagnostic for brain tumours.
Group Leader
Strathclyde Chancellor's Fellow
University of Strathclyde
Tahereh Nematiaram is a theoretician specialising in the development of methods that combine novel physical models with computational screening to identify advanced materials with targeted properties, determine the realistic physical limits to such properties, and drive practical materials (inverse) design strategies. Currently, Tahereh's research is focused on:
Computational discovery and design of functional molecules and materials
Charge transport properties of molecular semiconductors
Optical properties of organic molecules and solids
Crystal structure prediction of rigid conjugated molecules
Ross Urquhart
Postdoc
Tuttle Lab
Reducing molecular search spaces through the systematic exploration of chemical space with computational tools.
Ivan Yankov
PhD Student
Palmer Lab
(co-supervised with Prof Glenn Burley)
Next-Generation Design of Transcriptional Regulators: Uniting Experimental Analysis with Artificial Intelligence
Madeleine Taylor
PhD Student
Palmer Lab
Funded by Pfizer
Development of molecular-solvent interaction descriptors to improve accuracy of Quantitative Structure Retention Relationship models
Ilayda Tolu
PhD student
Palmer Lab
MSCA Doctoral Training Network "MetRaZymes"
Computational Design of Artificial Metalloenzymes
Abdullah Ahmad
PhD student
Palmer Lab
Multiscale Models for Molecular Solvation
Natasha Sanjrani
GSK/Strathclyde PhD student
Palmer Lab
Molecular Exploration using Artificial Intelligence
Raj Kumar Rajaram Baskaran
PhD student
Tuttle Lab
AI algorithms to design and optimize Multi-Component Soft Materials
Huw Williams
PhD student
Palmer Lab
Artificial Chemical Intelligence in Pharmaceutical Discovery and Development
Callum Hamilton
PhD student
Palmer Lab
Computational Design of Small Molecules to Prevent the Early Formation of Multispecies Biofilms
Nikita Myasnikov
PhD student
Tuttle Lab
AI-driven algorithms to predict aggregation and gel phenomena during peptide synthesis and isolation processes
Malin Zollner
PhD student
Nematiaram Lab
Machine Learning-Assisted High-Throughput Screening for Organic Semiconductors
Jack Rodden
PhD student
Palmer Lab
Artificial Intelligence for Early Detection of Cancers from Spectroscopic Liquid Biopsies
Ryan Fraser
PhD student
Tuttle Lab
Machine learning-driven elucidation of peptoid nanostructures for nature-inspired acoustics and antimicrobial/anticancer pore-forming peptoids
Dylan Anderson
PhD student
Palmer Lab
Predictive Design of Therapeutic Oligonucleotides