title: INPS-MD: a web server to predict stability of protein variants from sequence and structure.
abstract: Protein function depends on its structural stability. The effects of single point variations on protein stability can elucidate the molecular mechanisms of human diseases and help in developing new drugs. Recently, we introduced INPS, a method suited to predict the effect of variations on protein stability from protein sequence and whose performance is competitive with the available state-of-the-art tools.
  
  
  
  In this article, we describe INPS-MD (Impact of Non synonymous variations on Protein Stability-Multi-Dimension), a web server for the prediction of protein stability changes upon single point variation from protein sequence and/or structure. Here, we complement INPS with a new predictor (INPS3D) that exploits features derived from protein 3D structure. INPS3D scores with Pearson's correlation to experimental ΔΔG values of 0.58 in cross validation and of 0.72 on a blind test set. The sequence-based INPS scores slightly lower than the structure-based INPS3D and both on the same blind test sets well compare with the state-of-the-art methods.
  
  
  
  INPS and INPS3D are available at the same web server: http://inpsmd.biocomp.unibo.it
  
  
  
  Supplementary data are available at Bioinformatics online.
  
  
  
  gigi@biocomp.unibo.it.
authors.affiliation: Biocomputing Group, CIG, Interdepartmental Center «Luigi Galvani» for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Italy.
authors.forename: Castrense
authors.initials: C
authors.lastname: Savojardo
authors.affiliation: BCA, University of Padova, Italy.
authors.forename: Piero
authors.initials: P
authors.lastname: Fariselli
authors.affiliation: Biocomputing Group, CIG, Interdepartmental Center «Luigi Galvani» for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Italy.
authors.forename: Pier Luigi
authors.initials: PL
authors.lastname: Martelli
authors.affiliation: Biocomputing Group, CIG, Interdepartmental Center «Luigi Galvani» for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Italy Interdepartmental Center «Giorgio Prodi» for Cancer Research, University of Bologna, Italy.
authors.forename: Rita
authors.initials: R
authors.lastname: Casadio
mesh_terms: D000595:Amino Acid Sequence; D003201:Computers; D006801:Humans; D055550:Protein Stability; D011506:Proteins; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D011506:Proteins