Unknown

Dataset Information

0

Feature-similarity protein classifier as a ligand engineering tool.


ABSTRACT: Kinases have been often targeted in drug therapy aimed at blocking signaling pathways. However, the conservation of protein structure across homologs often leads to uncontrolled cross-reactivity. On the other hand, sticky packing defects in proteins are typically not conserved across homologs, making them ligand-anchoring sites potentially important to enhance selectivity. Thus, we introduce a hierarchical clustering of PDB-reported kinases according to packing differences. This kinome partitioning is highly correlated with proximity relations arising from the pharmacological profiling of kinases. A variable packing sensitivity is observed for individual drugs, with highly promiscuous ligands being the most insensitive to packing differences. Our classifier enables a strategy to design selective inhibitors.

SUBMITTER: Maddipati S 

PROVIDER: S-EPMC1945244 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Feature-similarity protein classifier as a ligand engineering tool.

Maddipati Sridhar S   Fernández Ariel A  

Biomolecular engineering 20061010 6


Kinases have been often targeted in drug therapy aimed at blocking signaling pathways. However, the conservation of protein structure across homologs often leads to uncontrolled cross-reactivity. On the other hand, sticky packing defects in proteins are typically not conserved across homologs, making them ligand-anchoring sites potentially important to enhance selectivity. Thus, we introduce a hierarchical clustering of PDB-reported kinases according to packing differences. This kinome partition  ...[more]

Similar Datasets

| S-EPMC2519160 | biostudies-literature
| S-EPMC7116330 | biostudies-literature
| S-EPMC4457552 | biostudies-literature
| S-EPMC2951634 | biostudies-literature
| S-EPMC3113943 | biostudies-literature
| S-EPMC6331733 | biostudies-literature
| S-EPMC4248652 | biostudies-literature
| S-EPMC10023195 | biostudies-literature
| S-EPMC6003080 | biostudies-other
| S-EPMC10311793 | biostudies-literature