Literature DB >> 12912835

Development of a four-body statistical pseudo-potential to discriminate native from non-native protein conformations.

Bala Krishnamoorthy1, Alexander Tropsha.   

Abstract

MOTIVATION: Most scoring functions used in protein fold recognition employ two-body (pseudo) potential energies. The use of higher-order terms may improve the performance of current algorithms.
METHODS: Proteins are represented by the side chain centroids of amino acids. Delaunay tessellation of this representation defines all sets of nearest neighbor quadruplets of amino acids. Four-body contact scoring function (log likelihoods of residue quadruplet compositions) is derived by the analysis of a diverse set of proteins with known structures. A test protein is characterized by the total score calculated as the sum of the individual log likelihoods of composing amino acid quadruplets.
RESULTS: The scoring function distinguishes native from partially unfolded or deliberately misfolded structures. It also discriminates between pre- and post-transition state and native structures in the folding simulations trajectory of Chymotrypsin Inhibitor 2 (CI2).

Mesh:

Substances:

Year:  2003        PMID: 12912835     DOI: 10.1093/bioinformatics/btg186

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  29 in total

1.  Evaluation of the relative stability of liganded versus ligand-free protein conformations using Simplicial Neighborhood Analysis of Protein Packing (SNAPP) method.

Authors:  Douglas B Sherman; Shuxing Zhang; J Bruce Pitner; Alexander Tropsha
Journal:  Proteins       Date:  2004-09-01

2.  GOAP: a generalized orientation-dependent, all-atom statistical potential for protein structure prediction.

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

3.  Distributions of experimental protein structures on coarse-grained free energy landscapes.

Authors:  Kannan Sankar; Jie Liu; Yuan Wang; Robert L Jernigan
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

4.  PredHS: a web server for predicting protein-protein interaction hot spots by using structural neighborhood properties.

Authors:  Lei Deng; Qiangfeng Cliff Zhang; Zhigang Chen; Yang Meng; Jihong Guan; Shuigeng Zhou
Journal:  Nucleic Acids Res       Date:  2014-05-22       Impact factor: 16.971

5.  Amino acid interaction preferences in proteins.

Authors:  Anupam Nath Jha; Saraswathi Vishveshwara; Jayanth R Banavar
Journal:  Protein Sci       Date:  2010-03       Impact factor: 6.725

6.  Knowledge-based entropies improve the identification of native protein structures.

Authors:  Kannan Sankar; Kejue Jia; Robert L Jernigan
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

7.  Directional Force Originating from ATP Hydrolysis Drives the GroEL Conformational Change.

Authors:  Jie Liu; Kannan Sankar; Yuan Wang; Kejue Jia; Robert L Jernigan
Journal:  Biophys J       Date:  2017-04-25       Impact factor: 4.033

8.  New statistical potential for quality assessment of protein models and a survey of energy functions.

Authors:  Dmitry Rykunov; Andras Fiser
Journal:  BMC Bioinformatics       Date:  2010-03-12       Impact factor: 3.169

9.  Discrimination of thermophilic and mesophilic proteins.

Authors:  Todd J Taylor; Iosif I Vaisman
Journal:  BMC Struct Biol       Date:  2010-05-17

10.  Scoring function to predict solubility mutagenesis.

Authors:  Ye Tian; Christopher Deutsch; Bala Krishnamoorthy
Journal:  Algorithms Mol Biol       Date:  2010-10-07       Impact factor: 1.405

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