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Novel knowledge-based mean force potential at the profile level
Authors:Qiwen Dong  Xiaolong Wang  Lei Lin
Affiliation:(1) School of Computer Science and Technology,Harbin Institute of Technology, Harbin, PR, China
Abstract:

Background  

The development and testing of functions for the modeling of protein energetics is an important part of current research aimed at understanding protein structure and function. Knowledge-based mean force potentials are derived from statistical analyses of interacting groups in experimentally determined protein structures. Current knowledge-based mean force potentials are developed at the atom or amino acid level. The evolutionary information contained in the profiles is not investigated. Based on these observations, a class of novel knowledge-based mean force potentials at the profile level has been presented, which uses the evolutionary information of profiles for developing more powerful statistical potentials.
Keywords:
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