PoseView

PoseView generates two-dimensional structure diagrams of protein-ligand complexes to visualize and analyze molecular interactions for structure-based drug design and structural biology.


Key Features:

  • Automated Diagram Generation: Automatically creates structure diagrams of protein-ligand complexes showing the ligand, interacting amino acids from the protein, and hydrophilic interactions depicted as dashed lines between corresponding atoms.
  • Combinatorial Optimization Strategy: Uses a combinatorial optimization strategy to address parts of the layout problem in a non-heuristic manner.
  • Chemical Nomenclature Compliance: Represents molecules within diagrams according to chemical nomenclature standards.
  • High Success Rate in Layout Generation: Generates collision-free layouts for a high proportion of complexes; in tests on 305 complexes from the Brookhaven Protein Data Bank it produced layouts for over three-quarters of cases and typically generates diagrams within tenths of a second per complex.
  • Enhanced Visualization for Structure-Based Drug Design: Provides transparent visualizations of protein-ligand interactions to aid manual investigation and evaluation of interaction patterns during lead finding and optimization.
  • Specialized Performance with Small Molecules: Exhibits an 87% success rate for complexes involving ligands with molecular weight under 500 Da.

Scientific Applications:

  • Structural Biology and Biochemistry: Visualizes protein-ligand interactions to support interpretation of structural aspects of molecular complexes.
  • Medicinal Chemistry: Supports structure-based drug design by providing visual insights into interaction patterns to facilitate lead optimization.
  • Educational Use: Serves as a resource for education by adhering to chemical nomenclature and providing clear representations of molecular interactions.

Methodology:

PoseView applies an advanced algorithmic approach using combinatorial optimization to solve layout subproblems in a non-heuristic manner and was evaluated on 305 complexes from the Brookhaven Protein Data Bank.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
11/21/2016
Last Updated:
11/25/2024

Operations

Publications

Stierand K, Maaß PC, Rarey M. Molecular complexes at a glance: automated generation of two-dimensional complex diagrams. Bioinformatics. 2006;22(14):1710-1716. doi:10.1093/bioinformatics/btl150. PMID:16632493.

Stierand K, Rarey M. From Modeling to Medicinal Chemistry: Automatic Generation of Two‐Dimensional Complex Diagrams. ChemMedChem. 2007;2(6):853-860. doi:10.1002/cmdc.200700010. PMID:17436259.

Documentation