Structural similarity of genetically interacting proteins
نویسندگان
چکیده
منابع مشابه
Structural similarity enhances interaction propensity of proteins.
We study statistical properties of interacting protein-like surfaces and predict two strong, related effects: (i) statistically enhanced self-attraction of proteins; (ii) statistically enhanced attraction of proteins with similar structures. The effects originate in the fact that the probability to find a pattern self-match between two identical, even randomly organized interacting protein surf...
متن کاملSearch for structural similarity in proteins
MOTIVATION The expanding protein sequence and structure databases await methods allowing rapid similarity search. Geometric parameters-dihedral angle between two sequential peptide bond planes (V) and radius of curvature (R) as they appear in pentapeptide fragments in polypeptide chains-are proposed for use in evaluating structural similarity in proteins (VeaR). The parabolic (empirical) functi...
متن کاملReview Comparison of proteins based on segments structural similarity
We present here a simple method for fast and accurate comparison of proteins using their structures. The algorithm is based on structural alignment of segments of C chains (with size of 99 or 199 residues). The method is optimized in terms of speed and accuracy. We test it on 97 representative proteins with the similarity measure based on the SCOP classification. We compare our algorithm with t...
متن کاملComparison of proteins based on segments structural similarity.
We present here a simple method for fast and accurate comparison of proteins using their structures. The algorithm is based on structural alignment of segments of Calpha chains (with size of 99 or 199 residues). The method is optimized in terms of speed and accuracy. We test it on 97 representative proteins with the similarity measure based on the SCOP classification. We compare our algorithm w...
متن کاملA Framework for Structural Similarity Search in Proteins
The expanding protein sequence and structure databases await methods allowing rapid similarity search. A novel framework for structural similarity search in proteins is developed. It can not only distinguish the local similarity case, but also can detect the overall similarity in some sense. First, geometrical distance of Cα-Cα is used in evaluating structural similarity in proteins. Then a sim...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2008
ISSN: 1752-0509
DOI: 10.1186/1752-0509-2-69