LIGPLOT remains a cornerstone tool in structural bioinformatics. By abstracting 3D complexity into a clear, standardized 2D schematic, it bridges the gap between raw coordinate data and intuitive chemical understanding. While modern software has extended its capabilities, the core design principles of LIGPLOT—simplicity, automatic layout, and focus on key interactions—continue to influence contemporary 2D diagram generators. For any researcher analyzing a protein-ligand complex, a LIGPLOT diagram is often the first and most informative view.
The LigPlot algorithm operates through a series of geometric calculations to determine the proximity and nature of atomic interactions. ligplot
: LigPlot+ can link directly to 3D viewers like PyMOL or RasMol to allow for simultaneous 2D and 3D analysis. Applications in Modern Science For any researcher analyzing a protein-ligand complex, a
LIGPLOT is a pioneering software tool that automatically generates two-dimensional (2D) schematic diagrams of protein-ligand complexes. By abstracting complex three-dimensional structural data into a clear, consistent 2D representation, LIGPLOT highlights key non-covalent interactions, including hydrogen bonds, hydrophobic contacts, and atom accessibilities. This paper reviews the algorithm, input requirements, output features, applications, and limitations of LIGPLOT, placing it in the context of computational structural biology and drug design. Applications in Modern Science LIGPLOT is a pioneering
ligand-protein interaction diagrams - LigPlot + v.2.3 - EMBL-EBI
LIGPLOT operates on a single input: a Protein Data Bank (PDB) file containing the coordinates of a protein-ligand complex.