Literature DB >> 8159666

A molecular dynamics approach for the generation of complete protein structures from limited coordinate data.

C W van Gelder1, F J Leusen, J A Leunissen, J H Noordik.   

Abstract

Generation of full protein coordinates from limited information, e.g., the C alpha coordinates, is an important step in protein homology modeling and structure determination, and molecular dynamics (MD) simulations may prove to be important in this task. We describe a new method, in which the protein backbone is built quickly in a rather crude way and then refined by minimization techniques. Subsequently, the side chains are positioned using extensive MD calculations. The method is tested on two proteins, and results compared to proteins constructed using two other MD-based methods. In the first method, we supplemented an existing backbone building method with a new procedure to add side chains. The second one largely consists of available methodology. The constructed proteins are compared to the corresponding X-ray structures, which became available during this study, and they are in good agreement (backbone RMS values of 0.5-0.7 A, and all-atom RMS values of 1.5-1.9 A). This comparative study indicates that extensive MD simulations are able, to some extent, to generate details of the native protein structure, and may contribute to the development of a standardized methodology to predict reliably (parts of) protein structures when only partial coordinate data are available.

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Year:  1994        PMID: 8159666     DOI: 10.1002/prot.340180209

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  9 in total

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Journal:  Curr Protoc Bioinformatics       Date:  2016-06-20

Review 4.  Template-based protein structure modeling.

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Authors:  D L Beck; W T Stump; K B Hall
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6.  Contribution of the tyrosines to the structure and function of the human U1A N-terminal RNA binding domain.

Authors:  J K Kranz; J Lu; K B Hall
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7.  SABBAC: online Structural Alphabet-based protein BackBone reconstruction from Alpha-Carbon trace.

Authors:  Julien Maupetit; R Gautier; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

8.  High throughput virtual screening reveals SARS-CoV-2 multi-target binding natural compounds to lead instant therapy for COVID-19 treatment.

Authors:  Biswajit Naik; Nidhi Gupta; Rupal Ojha; Satyendra Singh; Vijay Kumar Prajapati; Dhaneswar Prusty
Journal:  Int J Biol Macromol       Date:  2020-05-26       Impact factor: 6.953

9.  Homology modeling a fast tool for drug discovery: current perspectives.

Authors:  V K Vyas; R D Ukawala; M Ghate; C Chintha
Journal:  Indian J Pharm Sci       Date:  2012-01       Impact factor: 0.975

  9 in total

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