The paper introduces PROMOTIF, a suite of programs designed to analyze protein coordinate files and provide detailed information about structural motifs. The program can identify and classify various structural features, including secondary structure, β- and γ-turns, helical geometry, β-strands, β-sheet topology, β-bulges, β-hairpins, β-α-β units, ψ-loops, disulfide bridges, and main-chain hydrogen bonding patterns. PROMOTIF generates postscript files and summary pages for each motif type, offering a comprehensive analysis of the protein's structural motifs. The program is flexible and can be run on Unix or VMS platforms, with options to produce black and white or color output. It can also handle multiple protein structures, generating lists of motifs or comparing motifs in related structures. The authors highlight the importance of detailed motif analysis for understanding protein evolution, sequence-structure relationships, and functional roles, particularly in the context of homology modeling, ab-initio structure prediction, and novel protein design.The paper introduces PROMOTIF, a suite of programs designed to analyze protein coordinate files and provide detailed information about structural motifs. The program can identify and classify various structural features, including secondary structure, β- and γ-turns, helical geometry, β-strands, β-sheet topology, β-bulges, β-hairpins, β-α-β units, ψ-loops, disulfide bridges, and main-chain hydrogen bonding patterns. PROMOTIF generates postscript files and summary pages for each motif type, offering a comprehensive analysis of the protein's structural motifs. The program is flexible and can be run on Unix or VMS platforms, with options to produce black and white or color output. It can also handle multiple protein structures, generating lists of motifs or comparing motifs in related structures. The authors highlight the importance of detailed motif analysis for understanding protein evolution, sequence-structure relationships, and functional roles, particularly in the context of homology modeling, ab-initio structure prediction, and novel protein design.