Identification of amyloid fibril-forming segments based on structure and residue-based statistical potential
Author(s) -
Zhuqing Zhang,
Hao Chen,
Luhua Lai
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm325
Subject(s) - amyloid fibril , fibril , proteome , computational biology , amyloid disease , amyloid (mycology) , protein folding , residue (chemistry) , identification (biology) , computer science , structural bioinformatics , chemistry , bioinformatics , protein structure , biochemistry , biology , amyloid β , medicine , inorganic chemistry , botany , disease , pathology
Experimental evidence suggests that certain short protein segments have stronger amyloidogenic propensities than others. Identification of the fibril-forming segments of proteins is crucial for understanding diseases associated with protein misfolding and for finding favorable targets for therapeutic strategies.
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