Damiano Piovesan1, Silvio C E Tosatto1,2. 1. Department of Biomedical Sciences, University of Padua Viale G. Colombo 3, Padova 35121, Italy. 2. CNR Institute of Neuroscience Viale G. Colombo 3, Padova 35121, Italy.
Abstract
Motivation: The structures contained in the Protein Data Bank (PDB) database are of paramount importance to define our knowledge of folded proteins. While providing mainly circumstantial evidence, PDB data is also increasingly used to define the lack of unique structure, represented by mobile regions and even intrinsic disorder (ID). However, alternative definitions are used by different authors and potentially limit the generality of the analyses being carried out. Results: Here we present Mobi 2.0, a completely re-written version of the Mobi software for the determination of mobile and potentially disordered regions from PDB structures. Mobi 2.0 provides robust definitions of mobility based on four main sources of information: (i) missing residues, (ii) residues with high temperature factors, (iii) mobility between different models of the same structure and (iv) binding to another protein or nucleotide chain. Mobi 2.0 is well suited to aggregate information across different PDB structures for the same UniProt protein sequence, providing consensus annotations. The software is expected to standardize the treatment of mobility, allowing an easier comparison across different studies related to ID. Availability: Mobi 2.0 provides the structure-based annotation for the MobiDB database. The software is available from URL http://protein.bio.unipd.it/mobi2/. Contact: silvio.tosatto@unipd.it.
Motivation: The structures contained in the Protein Data Bank (PDB) database are of paramount importance to define our knowledge of folded proteins. While providing mainly circumstantial evidence, PDB data is also increasingly used to define the lack of unique structure, represented by mobile regions and even intrinsic disorder (ID). However, alternative definitions are used by different authors and potentially limit the generality of the analyses being carried out. Results: Here we present Mobi 2.0, a completely re-written version of the Mobi software for the determination of mobile and potentially disordered regions from PDB structures. Mobi 2.0 provides robust definitions of mobility based on four main sources of information: (i) missing residues, (ii) residues with high temperature factors, (iii) mobility between different models of the same structure and (iv) binding to another protein or nucleotide chain. Mobi 2.0 is well suited to aggregate information across different PDB structures for the same UniProt protein sequence, providing consensus annotations. The software is expected to standardize the treatment of mobility, allowing an easier comparison across different studies related to ID. Availability: Mobi 2.0 provides the structure-based annotation for the MobiDB database. The software is available from URL http://protein.bio.unipd.it/mobi2/. Contact: silvio.tosatto@unipd.it.
Authors: Damiano Piovesan; Francesco Tabaro; Lisanna Paladin; Marco Necci; Ivan Micetic; Carlo Camilloni; Norman Davey; Zsuzsanna Dosztányi; Bálint Mészáros; Alexander M Monzon; Gustavo Parisi; Eva Schad; Pietro Sormanni; Peter Tompa; Michele Vendruscolo; Wim F Vranken; Silvio C E Tosatto Journal: Nucleic Acids Res Date: 2018-01-04 Impact factor: 16.971
Authors: Alexander Miguel Monzon; Marco Necci; Federica Quaglia; Ian Walsh; Giuseppe Zanotti; Damiano Piovesan; Silvio C E Tosatto Journal: Int J Mol Sci Date: 2020-06-24 Impact factor: 5.923
Authors: Damiano Piovesan; Marco Necci; Nahuel Escobedo; Alexander Miguel Monzon; András Hatos; Ivan Mičetić; Federica Quaglia; Lisanna Paladin; Pathmanaban Ramasamy; Zsuzsanna Dosztányi; Wim F Vranken; Norman E Davey; Gustavo Parisi; Monika Fuxreiter; Silvio C E Tosatto Journal: Nucleic Acids Res Date: 2021-01-08 Impact factor: 16.971
Authors: Andras Hatos; Alexander Miguel Monzon; Silvio C E Tosatto; Damiano Piovesan; Monika Fuxreiter Journal: Nucleic Acids Res Date: 2022-01-07 Impact factor: 16.971
Authors: Damiano Piovesan; Alexander Miguel Monzon; Federica Quaglia; Silvio C E Tosatto Journal: Acta Crystallogr D Struct Biol Date: 2022-01-21 Impact factor: 7.652