| Literature DB >> 31209948 |
Castrense Savojardo1, Maria Petrosino2, Giulia Babbi1, Samuele Bovo1, Carles Corbi-Verge3, Rita Casadio1,4, Piero Fariselli5, Lukas Folkman6, Aditi Garg7, Mostafa Karimi8, Panagiotis Katsonis9, Philip M Kim3,10,11, Olivier Lichtarge9,12,13,14, Pier Luigi Martelli1, Alessandra Pasquo15, Debnath Pal7, Yang Shen8, Alexey V Strokach11, Paola Turina16, Yaoqi Zhou6,17, Gaia Andreoletti18, Steven E Brenner18, Roberta Chiaraluce2, Valerio Consalvi2, Emidio Capriotti16.
Abstract
Frataxin (FXN) is a highly conserved protein found in prokaryotes and eukaryotes that is required for efficient regulation of cellular iron homeostasis. Experimental evidence associates amino acid substitutions of the FXN to Friedreich Ataxia, a neurodegenerative disorder. Recently, new thermodynamic experiments have been performed to study the impact of somatic variations identified in cancer tissues on protein stability. The Critical Assessment of Genome Interpretation (CAGI) data provider at the University of Rome measured the unfolding free energy of a set of variants (FXN challenge data set) with far-UV circular dichroism and intrinsic fluorescence spectra. These values have been used to calculate the change in unfolding free energy between the variant and wild-type proteins at zero concentration of denaturant ( Δ Δ G H 2 O ) . The FXN challenge data set, composed of eight amino acid substitutions, was used to evaluate the performance of the current computational methods for predicting the Δ Δ G H 2 O value associated with the variants and to classify them as destabilizing and not destabilizing. For the fifth edition of CAGI, six independent research groups from Asia, Australia, Europe, and North America submitted 12 sets of predictions from different approaches. In this paper, we report the results of our assessment and discuss the limitations of the tested algorithms.Entities:
Keywords: free energy change; machine learning; protein folding; protein stability; single amino acid variant
Year: 2019 PMID: 31209948 PMCID: PMC6744327 DOI: 10.1002/humu.23843
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878