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Keywords | Identifi cation of novel compounds | natural products | inhibition of protein-protein interactions |<br />
high-throughput screening |<br />
CAPPELLA<br />
Combating cancer through novel<br />
approaches to protein-protein<br />
interaction inhibitor libraries<br />
Summary<br />
The inhibition of protein-protein interactions (PPI) is one of<br />
the most promising approaches to the development of novel<br />
cancer therapies. This project brings together some of<br />
Europe’s leading biotech SMEs and several highly recognised<br />
academic institutes. By combining fi ve distinct chemical<br />
approaches and testing them on three diff erent targets (all<br />
from diff erent partners) a series of innovative small-ligand<br />
tools and libraries that allow new approaches to the inhibition<br />
of PPI in cancer will be developed. The project is a unique<br />
opportunity to integrate novel in silico, chemical, genetic<br />
and ADME-based approaches to the design, synthesis and<br />
optimisation of libraries and compounds.<br />
Problem<br />
Most protein-protein interactions occur within the cell and<br />
thus can only be targeted by small molecules. Furthermore,<br />
PPI diff er structurally from more classic drug targets such<br />
as enzymes and receptors, and consequently existing<br />
compounds have generally delivered disappointing results.<br />
Therefore, new approaches are needed to develop novel<br />
small molecules which inhibit PPI in cancer.<br />
Aim<br />
The objective of this project is to develop a series of innovative<br />
smallligand tools and libraries that allow new approaches<br />
to the inhibition of protein-protein interactions in cancer. A key<br />
theme is the utilisation of structural motifs found in natural<br />
PPI-inhibitor compounds. This is coupled with high content<br />
testing of the resultant structures on three distinct PPI targets<br />
relevant to diff erent types of cancer, to allow compound rulesets<br />
to be developed and improved. We want to develop<br />
small-ligand libraries focused on PPI inhibitors of relevance to<br />
cancer. Furthermore, we will develop innovative tools that<br />
allow improved library design in this area by integrating in silico<br />
approaches, bio-informatics, new approaches to compound<br />
synthesis and pharmacology. The project will also cover the<br />
scientifi c areas such as in silico prediction of drug-like properties,<br />
prediction of ADME parameters, predictive toxicology<br />
and creation of virtual libraries.<br />
Expected results<br />
Innovative tools for designing PPI inhibitors<br />
• Five diff erent PPI-inhibitor library creation tools, based<br />
on fi ve complementary approaches:<br />
• in silico;<br />
• genetic chemistry;<br />
• advanced natural product technologies;<br />
• retro-synthesis of natural scaff olds;<br />
• ADME improvement.<br />
• Cross-fertilisation of approaches so that each of the fi ve<br />
approaches learns lessons from the others and incorporates<br />
relevant leanings into its approach.<br />
• Three high-content assay systems for three important<br />
PPI cancer targets (p53-Mdm2, Beta catenin-TCF4,<br />
BRCA2-RAD51).<br />
• Design rules for PPI inhibitor compound libraries (mass,<br />
diversity composition, lipophilicity, compound class etc.)<br />
generated from 15 complementary data sets.<br />
Novel small-ligand libraries and pre-clinical candidates<br />
• Several ‘PPI inhibitor’ compound libraries.<br />
• Diff erent candidate compound families from within these<br />
libraries that can subsequently be taken forward into<br />
pre-clinical testing by the SME partners.<br />
Libraries containing extracts of biological material off er great chemical diversity.<br />
BIOLOGY 19