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