Allosteric targeting of the proteome
Lead Research Organisation:
Imperial College London
Department Name: Chemistry
Abstract
Identifying functional residues in the proteome is of great importance in the understanding of disease as well as for drug allosteric targeting. A data driven workflow will be created to identify and predict functional residues across the proteome starting from atomistic graph technologies. Datasets will be created from the literature to train the algorithmic workflow. Predictions will be tested experimentally with state-of-the art technologies in the Child laboratory and further inform the algorithms.
People |
ORCID iD |
Sophia Yaliraki (Primary Supervisor) | |
Long-Hung Pham (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/S023518/1 | 01/10/2019 | 31/03/2028 | |||
2886971 | Studentship | EP/S023518/1 | 01/10/2023 | 30/09/2027 | Long-Hung Pham |