title: FELLS: fast estimator of latent local structure.
abstract: BACKGROUND
  The behavior of a protein is encoded in its sequence, which can be used to predict distinct features such as secondary structure, intrinsic disorder or amphipathicity. Integrating these and other features can help explain the context-dependent behavior of proteins. However, most tools focus on a single aspect, hampering a holistic understanding of protein structure. Here, we present Fast Estimator of Latent Local Structure (FELLS) to visualize structural features from the protein sequence. FELLS provides disorder, aggregation and low complexity predictions as well as estimated local propensities including amphipathicity. A novel fast estimator of secondary structure (FESS) is also trained to provide a fast response. The calculations required for FELLS are extremely fast and suited for large-scale analysis while providing a detailed analysis of difficult cases.
  
  
  METHODS
  The FELLS web server is available from URL: http://protein.bio.unipd.it/fells/ . The server also exposes RESTful functionality allowing programmatic prediction requests. An executable version of FESS for Linux can be downloaded from URL: protein.bio.unipd.it/download/.
  
  
  BACKGROUND
  silvio.tosatto@unipd.it.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biomedical Sciences, University of Padua, Padova, Italy.
authors.forename: Damiano
authors.initials: D
authors.lastname: Piovesan
authors.affiliation: Department of Biomedical Sciences, University of Padua, Padova, Italy.|Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
authors.forename: Ian
authors.initials: I
authors.lastname: Walsh
authors.affiliation: Department of Biomedical Sciences, University of Padua, Padova, Italy.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Minervini
authors.affiliation: Department of Biomedical Sciences, University of Padua, Padova, Italy.|CNR Institute of Neuroscience, Padova, Italy.
authors.forename: Silvio C E
authors.initials: SCE
authors.lastname: Tosatto
mesh_terms: D019295:Computational Biology / Q000379:methods*; D011487:Protein Conformation; D012984:Software