Title
A filtering technique for fragment assembly- based proteins loop modeling with constraints
Abstract
Methods to predict the structure of a protein often rely on the knowledge of macro sub-structures and their exact or approximated relative positions in space. The parts connecting these sub-structures are called loops and, in general, they are characterized by a high degree of freedom. The modeling of loops is a critical problem in predicting protein conformations that are biologically realistic. This paper introduces a class of constraints that models a general multi-body system; we present a proof of NP-completeness and provide filtering techniques, inspired by inverse kinematics, that can drastically reduce the search space of potential conformations. The paper shows the application of the constraint in solving the protein loop modeling problem, based on fragments assembly.
Year
DOI
Venue
2012
10.1007/978-3-642-33558-7_61
CP
Keywords
Field
DocType
protein conformation,proteins loop modeling,high degree,critical problem,general multi-body system,approximated relative position,inverse kinematics,fragments assembly,search space,fragment assembly,protein loop modeling problem,macro sub-structures
Protein structure prediction,Mathematical optimization,Degrees of freedom (statistics),Inverse kinematics,Computer science,Filter (signal processing),Rigid body,Loop modeling,Root-mean-square deviation,Macro
Conference
Citations 
PageRank 
References 
2
0.36
12
Authors
5
Name
Order
Citations
PageRank
Federico Campeotto1463.87
Alessandro Dal Palù221114.97
Agostino Dovier397281.11
Ferdinando Fioretto48820.13
Enrico Pontelli51901181.26