Completed Cancer Computing & AI

AI-Powered Computational Validation of Covalent Drug Discovery for Undruggable Cancer Targets

About this grant

This summary is based on the grant title only — the full abstract was not available.

No substantive source abstract was published for this research project funded by InnovateUK.

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Related Research

Grants with similar aims, by meaning.

Tackling the Undruggable Cancer Proteome with Covalent Macrocycles
Validating "undruggable" or orphan cancer targets by combining fragment based screening peptidomimetic chemistry, structural biology and cell biology
Targeted inhibition of Ras superfamily proteins through covalent ligand discovery
Efficient modelling and validation of cryptic protein binding sites for drug discovery
Using Grand Canonical Monte Carlo to predict cryptic pockets for drug binding

Original classification

Feasibility Studies

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