Prediction of protein secondary structure based on residue pairs

dc.creatorLiu, Xin
dc.creatorZhang, Li-mei
dc.creatorZheng, Wei-Mou
dc.date2002-12-18
dc.date2004-06-15
dc.date.accessioned2026-07-07T05:48:35Z
dc.date.available2026-07-07T05:48:35Z
dc.descriptionThe GOR program for predicting protein secondary structure is extended to include triple correlation. A score system for a residue pair to be at certain conformation state is derived from the conditional weight matrix describing amino acid frequencies at each position of a window flanking the pair under the condition for the pair to be at the fixed state. A program using this score system to predict protein secondary structure is established. After training the model with a learning set created from PDB\_SELECT, the program is tested with two test sets. As a method using single sequence for predicting secondary structures, the approach achieves a high accuracy near 70%.
dc.description13 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0212065
dc.identifierhttp://arxiv.org/abs/physics/0212065
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85076
dc.subjectBiological Physics
dc.subjectQuantitative Biology
dc.titlePrediction of protein secondary structure based on residue pairs
dc.typetext

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