Yeast Cytokinesis pp 363-377

Part of the Methods in Molecular Biology book series (MIMB, volume 1369) | Cite as

Toolbox for Protein Structure Prediction

Abstract

Protein tertiary structure prediction algorithms aim to predict, from amino acid sequence, the tertiary structure of a protein. In silico protein structure prediction methods have become extremely important, as in vitro-based structural elucidation is unable to keep pace with the current growth of sequence databases due to high-throughput next-generation sequencing, which has exacerbated the gaps in our knowledge between sequences and structures.

Here we briefly discuss protein tertiary structure prediction, the biennial competition for the Critical Assessment of Techniques for Protein Structure Prediction (CASP) and its role in shaping the field. We also discuss, in detail, our cutting-edge web-server method IntFOLD2-TS for tertiary structure prediction. Furthermore, we provide a step-by-step guide on using the IntFOLD2-TS web server, along with some real world examples, where the IntFOLD server can and has been used to improve protein tertiary structure prediction and aid in functional elucidation.

Key words

Protein tertiary structure prediction Protein structure Fold recognition Template-based modeling Template-free modeling Critical Assessment of Techniques for Protein Structure Prediction (CASP) Bioinformatics web servers Model quality assessment methods Continuous Automated Model EvaluatiOn (CAMEO) Protein Model Portal (PMP) Protein Structure Initiative (PSI) 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Institut de Biologie Computationnelle, LIRMM, CNRSUniversité de MontpellierMontpellierFrance
  2. 2.CEA, DSV, IG, GenoscopeÉvryFrance
  3. 3.CNRS-UMR8030ÉvryFrance
  4. 4.Université d’Évry Val d’EssonneÉvryFrance
  5. 5.PRES UniverSud ParisSaint-AubinFrance
  6. 6.School of Biological SciencesUniversity of ReadingReadingUK

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