SAD - a normalized structural alignment database: improving sequence-structure alignments

摘要

Motivation: We present a structural alignment database that is specifically targeted for use in derivation and optimization of sequence-structure alignment algorithms for homology modeling. We have paid attention to ensure that fold-space is properly sampled, that the structures involved in alignments are of significant resolution (better than 2.5 Angstrom) and the alignments are accurate and reliable.