Piero Fariselli

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2018-12 Signature of Pareto optimization in the Escherichia coli proteome in SCIENTIFIC REPORTS
  • 2018-05 Analysis of hard protein corona composition on selective iron oxide nanoparticles by MALDI-TOF mass spectrometry: identification and amplification of a hidden mastitis biomarker in milk proteome in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2016-09 Network measures for protein folding state discrimination in SCIENTIFIC REPORTS
  • 2016-06 Large scale analysis of protein stability in OMIM disease related human protein variants in BMC GENOMICS
  • 2015-12 NET-GE: a novel NETwork-based Gene Enrichment for detecting biological processes associated to Mendelian diseases in BMC GENOMICS
  • 2015 Computer-Based Prediction of Mitochondria-Targeting Peptides in MITOCHONDRIAL MEDICINE
  • 2013-05 WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation in BMC GENOMICS
  • 2013-02 How to inherit statistically validated annotation within BAR+ protein clusters in BMC BIOINFORMATICS
  • 2013-01 Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations in BMC BIOINFORMATICS
  • 2012-06 On the effect of protein conformation diversity in discriminating among neutral and disease related single amino acid substitutions in BMC GENOMICS
  • 2012-06 Predicting cancer-associated germline variations in proteins in BMC GENOMICS
  • 2012 Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2011-12 Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure in BIODATA MINING
  • 2011 Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2010-09-21 Divide and Conquer Strategies for Protein Structure Prediction in MATHEMATICAL APPROACHES TO POLYMER SEQUENCE ANALYSIS AND RELATED PROBLEMS
  • 2010 Improving Coiled-Coil Prediction with Evolutionary Information in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2010 Topology prediction of membrane proteins: how distantly related homologs come into play in STRUCTURAL BIOINFORMATICS OF MEMBRANE PROTEINS
  • 2009-12 Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications in ALGORITHMS FOR MOLECULAR BIOLOGY
  • 2009 On the Upper Bound of the Prediction Accuracy of Residue Contacts in Proteins with Correlated Mutations: The Case Study of the Similarity Matrices in ALGORITHMS IN BIOINFORMATICS
  • 2009 A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Predictions in COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
  • 2009 Prediction of Protein-Protein Interacting Sites: How to Bridge Molecular Events to Large Scale Protein Interaction Networks in COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY
  • 2008-03 A three-state prediction of single point mutations on protein stability changes in BMC BIOINFORMATICS
  • 2008 High Throughput Comparison of Prokaryotic Genomes in PARALLEL PROCESSING AND APPLIED MATHEMATICS
  • 2008 The Pros and Cons of Predicting Protein Contact Maps in PROTEIN STRUCTURE PREDICTION
  • 2007-10-05 The Pros and Cons of Predicting Protein Contact Maps in PROTEIN STRUCTURE PREDICTION, SECOND EDITION
  • 2007-03-13 BaCelLo: a Balanced subCellular Localization predictor. in PROTOCOL EXCHANGE
  • 2007-03 A computational approach for detecting peptidases and their specific inhibitors at the genome level in BMC BIOINFORMATICS
  • 2007 High Throughput Protein Similarity Searches in the LIBI Grid Problem Solving Environment in FRONTIERS OF HIGH PERFORMANCE COMPUTING AND NETWORKING ISPA 2007 WORKSHOPS
  • 2007 Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models in BIOINFORMATICS RESEARCH AND DEVELOPMENT
  • 2007 A Graph Theoretic Approach to Protein Structure Selection in APPLICATIONS OF FUZZY SETS THEORY
  • 2007 Fault Tolerance for Large Scale Protein 3D Reconstruction from Contact Maps in ALGORITHMS IN BIOINFORMATICS
  • 2007 Reconstruction of 3D Structures from Protein Contact Maps in BIOINFORMATICS RESEARCH AND APPLICATIONS
  • 2006-07-24 Thinking the Impossible: How to Solve the Protein Folding Problem With and Without Homologous Structures and More in PROTEIN FOLDING PROTOCOLS
  • 2005-12 A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins in BMC BIOINFORMATICS
  • 2003 Prediction of Signal Peptide in Proteins with Neural Networks in NEURAL NETS
  • 1998 Electron Correlation in Quantum Molecular Biophysics: The Case Study of Hemocyanin in BIOPHYSICS OF ELECTRON TRANSFER AND MOLECULAR BIOELECTRONICS
  • 1996-02 A predictor of transmembrane α-helix domains of proteins based on neural networks in EUROPEAN BIOPHYSICS JOURNAL
  • 1993-09 A mathematical model relating diffusion of hydrophobic ions to their adsorption on biological membranes as detected with a microdialyzer in JOURNAL OF BIOLOGICAL PHYSICS
  • 1993-04 Predicting secondary structures of membrane proteins with neural networks in EUROPEAN BIOPHYSICS JOURNAL
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.5608.b", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "https://www.grid.ac/institutes/grid.9841.4", 
            "type": "Organization"
            "id": "https://www.grid.ac/institutes/grid.6292.f", 
            "type": "Organization"
        "familyName": "Fariselli", 
        "givenName": "Piero", 
        "id": "sg:person.01347332413.06", 
        "identifier": {
          "name": "orcid_id", 
          "type": "PropertyValue", 
          "value": [
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T15:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_841.json", 
        "type": "Person"

    Download the RDF metadata as:  json-ld nt turtle xml License info


    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.01347332413.06'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01347332413.06'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01347332413.06'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01347332413.06'


    This table displays all metadata directly associated to this object as RDF triples.

    25 TRIPLES      11 PREDICATES      15 URIs      8 LITERALS      3 BLANK NODES

    Subject Predicate Object
    1 sg:person.01347332413.06 schema:affiliation N2963db3e78bc42e381fadb5671b21d42
    2 https://www.grid.ac/institutes/grid.6292.f
    3 https://www.grid.ac/institutes/grid.9841.4
    4 schema:familyName Fariselli
    5 schema:givenName Piero
    6 schema:identifier Nf408389b2c164ac48390228071ca70b8
    7 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347332413.06
    8 https://orcid.org/0000-0003-1811-4762
    9 schema:sdDatePublished 2019-03-07T15:09
    10 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    11 schema:sdPublisher N98fddd2118d24407b4c55bee0edc453a
    12 sgo:license sg:explorer/license/
    13 sgo:sdDataset persons
    14 rdf:type schema:Person
    15 N2963db3e78bc42e381fadb5671b21d42 schema:affiliation https://www.grid.ac/institutes/grid.5608.b
    16 sgo:isCurrent true
    17 rdf:type schema:OrganizationRole
    18 N98fddd2118d24407b4c55bee0edc453a schema:name Springer Nature - SN SciGraph project
    19 rdf:type schema:Organization
    20 Nf408389b2c164ac48390228071ca70b8 schema:name orcid_id
    21 schema:value 0000-0003-1811-4762
    22 rdf:type schema:PropertyValue
    23 https://www.grid.ac/institutes/grid.5608.b schema:Organization
    24 https://www.grid.ac/institutes/grid.6292.f schema:Organization
    25 https://www.grid.ac/institutes/grid.9841.4 schema:Organization

    Preview window. Press ESC to close (or click here)