Amino acid substitution matrices for protein conformation identification

dc.creatorLiu, Xin
dc.creatorZheng, Wei-Mou
dc.date2004-06-15
dc.date.accessioned2026-07-07T05:58:30Z
dc.date.available2026-07-07T05:58:30Z
dc.descriptionMethods for alignment of protein sequences typically measure similarity by using substitution matrix with scores for all possible exchanges of one amino acid with another. Although widely used, the matrices derived from homologous sequence segments, such as Dayhoff's PAM matrices and Henikoff's BLOSUM matrices, are not specific for protein conformation identification. Using a different approach, we got many amino acid segment blocks. For each of them, the protein secondary structure is identical. Based on these blocks, we have derived new amino acid substitution matrices. The application of these matrices led to marked improvements in conformation segment search and homologues detection in twilight zone.
dc.description13 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/q-bio/0406032
dc.identifierhttp://arxiv.org/abs/q-bio/0406032
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88378
dc.subjectBiomolecules
dc.titleAmino acid substitution matrices for protein conformation identification
dc.typetext

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