ArchKI

ArchKI classifies 1,813 kinase loops from 141 kinase protein structures into 133 structural subclasses and integrates functional residue information to relate loop motifs to biochemical function.

Key Features:

• Structural Classification: Classifies 1,813 kinase loops into 133 subclasses defined by structural motifs including beta-beta links, beta-beta hairpins, alpha-alpha, alpha-beta, and beta-alpha configurations.
• Functional Integration: Integrates functional information and specific features to correlate each subclass with biological functions, including identification of P-loop and Gly-rich loop motifs.
• Mechanism Elucidation: Maps structural motifs to functional roles to highlight common mechanisms of catalysis and substrate binding across kinases.
• Sequence Alignment: Performs multiple sequence alignments within each subclass to support comparative modeling of kinase loops.
• Database Compilation: Compiles classification results into a kinase loop database (http://sbi.imim.es/archki) containing annotated loop subclasses and alignments.

Scientific Applications:

• Comparative Modeling: Uses subclass-specific sequence alignments to model kinase loops and predict structural features of uncharacterized kinases.
• Functional Annotation: Supports annotation of kinase functions based on structural motifs, aiding targeted drug design and therapeutic intervention studies.
• Mechanistic Studies: Enables investigation of conserved catalytic and substrate-binding mechanisms across kinase families, informing studies of regulation and drug-target identification in disease contexts.

Methodology:

Collects kinase structures from protein databases; extracts and categorizes loops by structural motifs; associates loop subclasses with functional roles using known biochemical data; and performs multiple sequence alignments within subclasses.