HKPocket
HKPocket catalogs 1717 kinase pockets from 255 human kinases to support structure-based drug discovery by providing pocket-level sequence, structural, and physicochemical annotations for targeting catalytic and non-catalytic sites.
Key Features:
- Extensive Data Collection: HKPocket encompasses 1717 kinase pockets derived from 255 human kinases, covering structural diversity across human kinases.
- Detailed Annotations: Each pocket is annotated with sequence data, three-dimensional structure, hydrophilic-hydrophobic properties, and essential interactions, together with druggability assessments.
- Cluster Analysis: The pockets are organized into 91 clusters based on structural similarities and positional features within kinase groups.
- Drug Screening Support: Pocket annotations support preliminary drug screening and the prediction/prioritization of binding affinities via analysis of sequence conservation, critical interactions, and hydrophobicity.
- Non-Catalytic Pocket Focus: Inclusion of non-catalytic pockets enables exploration of alternative therapeutic sites that may reduce off-target effects.
- Structural Files: PDB structure files (PSE) are associated with identified pockets for structural analysis.
Scientific Applications:
- Target Identification and Validation: Exploration of non-catalytic and catalytic pockets to identify and validate kinase targets.
- Lead Compound Screening: Initial screening and prioritization of lead compounds by matching ligand compatibility to pocket structural and physicochemical profiles.
- Drug Optimization: Refinement of lead compounds based on analysis of critical interactions, sequence conservation, and hydrophobicity within pockets.
Methodology:
Integration of sequence and structural data from various sources followed by clustering based on structural similarities and positional features.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/14/2020
- Last Updated:
- 12/10/2020
Operations
Publications
Wang H, Qiu J, Liu H, Xu Y, Jia Y, Zhao Y. HKPocket: human kinase pocket database for drug design. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-3254-y. PMID:31783725. PMCID:PMC6884818.
PMID: 31783725
PMCID: PMC6884818
Funding: - National Natural Science Foundation of China: 11704140, 11775091
- Natural Science Foundation of Hubei: 2017CFB116
- self-determined research funds of CCNU from the colleges’ basic research and operation of MOE: CCNU19QD008