title: LGA: A method for finding 3D similarities in protein structures.
abstract: We present the LGA (Local-Global Alignment) method, designed to facilitate the comparison of protein structures or fragments of protein structures in sequence dependent and sequence independent modes. The LGA structure alignment program is available as an online service at http://PredictionCenter.llnl.gov/local/lga. Data generated by LGA can be successfully used in a scoring function to rank the level of similarity between two structures and to allow structure classification when many proteins are being analyzed. LGA also allows the clustering of similar fragments of protein structures.
authors.affiliation: Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, USA. adamz@llnl.gov
authors.forename: Adam
authors.initials: A
authors.lastname: Zemla
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D030562:Databases, Protein; D020407:Internet; D008958:Models, Molecular; D015394:Molecular Structure; D019906:Nuclear Magnetic Resonance, Biomolecular; D011506:Proteins / Q000737:chemistry; D016415:Sequence Alignment; D012984:Software; D040681:Structural Homology, Protein
chemical_list: D011506:Proteins