Patrizio Di Micco

Dr. Patrizio Di Micco

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2019 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
PCPDBe-KB consortium
PDBe-KB consortium
MVMihaly Varadi
Mihaly Varadi
JBJohn Berrisford
John Berrisford
MDMandar Deshpande
Mandar Deshpande
SNSreenath S Nair
Sreenath S Nair
SVSameer Velankar
Sameer Velankar
The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural and functional annotations of macromolecular structure data, contained in the Protein Data Bank (PDB). The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research. Here, we describe the guidelines of this collaborative effort, the current status of contributed data, and the PDBe-KB infrastructure, which includes the data exchange format, the deposition system for added value annotations, the distributable database containing the assembled data, and programmatic access endpoints. We also describe a series of novel web-pages—the PDBe-KB aggregated views of structure data—which combine information on macromolecular structures from many PDB entries. We have recently released the first set of pages in this series, which provide an overview of available structural and functional information for a protein of interest, referenced by a UniProtKB accession.

1 March 2012 in Structure
Verified
Journal Article
Closed access
FSFulvio Saccoccia
Fulvio Saccoccia
Patrizio Di MiccoPatrizio Di Micco
Patrizio Di Micco
GBGiovanna Boumis
Giovanna Boumis
MBMaurizio Brunori
Maurizio Brunori
IKIlias Koutris
Ilias Koutris
FAFrancesco Angelucci
Francesco Angelucci

21 November 2020 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
CMCostas Mitsopoulos
Costas Mitsopoulos
Patrizio Di MiccoPatrizio Di Micco
Patrizio Di Micco
EFEloy Villasclaras Fernandez
Eloy Villasclaras Fernandez
DDDaniela Dolciami
Daniela Dolciami
EHEsty Holt
Esty Holt
BABissan Al-Lazikani
Bissan Al-Lazikani
CanSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. canSAR integrates vast multidisciplinary data from across genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and more. It also provides unique data, curation and annotation and crucially, AI-informed target assessment for drug discovery. canSAR is widely used internationally by academia and industry. Here we describe significant developments and enhancements to the data, web interface and infrastructure of canSAR in the form of the new implementation of the system: canSARblack. We demonstrate new functionality in aiding translation hypothesis generation and experimental design, and show how canSAR can be adapted and utilised outside oncology.

26 September 2011 in Human Molecular Genetics
Verified
Journal Article
Open access
PDF file
EPElena Perli
Elena Perli
CGCarla Giordano
Carla Giordano
HTHelen A.L. Tuppen
Helen A.L. Tuppen
MMMonica Montopoli
Monica Montopoli
AMArianna Montanari
Arianna Montanari
GDGiulia D'Amati
Giulia D'Amati
The genetic and epigenetic factors underlying the variable penetrance of homoplasmic mitochondrial DNA mutations are poorly understood. We investigated a 16-year-old patient with hypertrophic cardiomyopathy harboring a homoplasmic m.4277T>C mutation in the mt-tRNAIle (MTTI) gene. Skeletal muscle showed multiple respiratory chain enzyme abnormalities and a decreased steady-state level of the mutated mt-tRNAIle. Transmitochondrial cybrids grown on galactose medium demonstrated a functional effect of this mutation on cell viability, confirming pathogenicity. These findings were reproduced in transmitochondrial cybrids, harboring a previously described homoplasmic m.4300A>G MTTI mutation. The pathogenic role of the m.4277T>C mutation may be ascribed to misfolding of the mt-tRNA molecule, as demonstrated by the altered electrophoretic migration of the mutated mt-tRNA. Indeed, structure and sequence analyses suggest that thymidine at position 4277 of mt-tRNAIle is involved in a conserved tertiary interaction with thymidine at position 4306. Interestingly, the mutation showed variable penetrance within family members, with skeletal muscle from the patient's clinically unaffected mother demonstrating normal muscle respiratory chain activities and steady-state levels of mt-tRNAIle, while homoplasmic for the m.4277T>C mutation. Analysis of mitochondrial isoleucyl-tRNA synthetase revealed significantly higher expression levels in skeletal muscle and fibroblasts of the unaffected mother when compared with the proband, while the transient over-expression of the IARS2 gene in patient transmitochondrial cybrids improved cell viability. This is the first observation that constitutively high levels of aminoacyl-tRNA synthetases (aaRSs) in human tissues prevent the phenotypic expression of a homoplasmic mt-tRNA point mutation. These findings extend previous observations on aaRSs therapeutic effects in yeast and human.

1 April 2018 in Journal of Controlled Release
Verified
Journal Article
Closed access
EFElisabetta Falvo
Elisabetta Falvo
FMFrancesca Malagrinò
Francesca Malagrinò
Alessandro ArcovitoAlessandro Arcovito
Alessandro Arcovito
FFFrancesco Fazi
Francesco Fazi
GCGianni Colotti
Gianni Colotti
PCPierpaolo Ceci
Pierpaolo Ceci

28 November 2018 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
ECElizabeth A Coker
Elizabeth A Coker
CMCostas Mitsopoulos
Costas Mitsopoulos
JTJoesph E Tym
Joesph E Tym
AKAngeliki Komianou
Angeliki Komianou
CKChristos Kannas
Christos Kannas
BABissan Al-Lazikani
Bissan Al-Lazikani
CanSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. canSAR informs researchers to help solve key bottlenecks in cancer translation and drug discovery. It integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and unique, comprehensive and orthogonal ‘druggability’ assessments. canSAR is widely used internationally by academia and industry. Here we describe major enhancements to canSAR including new and expanded data. We also describe the first components of canSARblack—an advanced, responsive, multi-device compatible redesign of canSAR with a question-led interface.