Prediction of amyloid fibril-forming segments based on a support vector machine
<p>Abstract</p> <p>Background</p> <p>Amyloid fibrillar aggregates of proteins or polypeptides are known to be associated with many human diseases. Recent studies suggest that short protein regions trigger this aggregation. Thus, identifying these short peptides is criti...
Main Authors: | Guo Jun, Wu Ningfeng, Tian Jian, Fan Yunliu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2009-01-01
|
Series: | BMC Bioinformatics |
Similar Items
-
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
by: Zhang Juhua, et al.
Published: (2007-11-01) -
Predicting changes in protein thermostability brought about by single- or multi-site mutations
by: Chu Xiaoyu, et al.
Published: (2010-07-01) -
Investigation of amyloid fibrils forming proteins
by: Povilonienė, Simona
Published: (2011) -
Support Vector Machines for predicting protein structural class
by: Xu Xue-biao, et al.
Published: (2001-06-01) -
Identification of the transcriptional regulator NcrB in the nickel resistance determinant of Leptospirillum ferriphilum UBK03.
by: Tao Zhu, et al.
Published: (2011-02-01)