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Structure PredictionTools

SWISS-MODEL: Uses & Applications

Dr. Muniba Faiza
Last updated: January 17, 2022 2:38 pm
Dr. Muniba Faiza
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SWISS-MODEL [1] is a bioinformatics tool that is widely used for protein structure prediction. In this article, we are going to discuss its uses and applications.

SWISS-MODEL predicts protein three-dimensional structure using homology modeling. Some of its basic and advanced uses are described below:

  • The most common application of SWISS-MODEL is structure prediction.
  • It can also be used for the visualization of target-template alignment.
  • Multiple sequences can be submitted for structure prediction by uploading a single file consisting of protein sequences in FASTA format.
  • Target sequences must be unique. It will not accept any file that contains duplicate sequences.
  • Users can also provide a template for the structure prediction of a target sequence.
  • SWISS-MODEL also offers to provide full control over the projects submitted in its workspace. This is called the ‘DeepView Project’. Using this, users can change the modeling parameters.
  • Users are also allowed to select a template for structure prediction.
  • The best predicted structure is selected on the basis of GMQE and QMEAN scores.
  • SWISS-MODEL has a repository [2] that consists of modeled structures.

References

  1. Waterhouse, A., Bertoni, M., Bienert, S., Studer, G., Tauriello, G., Gumienny, R., … & Schwede, T. (2018). SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic acids research, 46(W1), W296-W303.
  2. Bienert, S., Waterhouse, A., de Beer, T. A., Tauriello, G., Studer, G., Bordoli, L., & Schwede, T. (2017). The SWISS-MODEL Repository—new features and functionality. Nucleic acids research, 45(D1), D313-D319.
TAGGED:GMQEprotein structure predictionqmeanswissmodel
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ByDr. Muniba Faiza
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Dr. Muniba is a Bioinformatician based in New Delhi, India. She has completed her PhD in Bioinformatics from South China University of Technology, Guangzhou, China. She has cutting edge knowledge of bioinformatics tools, algorithms, and drug designing. When she is not reading she is found enjoying with the family. Know more about Muniba
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