Visualitza per autoria "Milanetti, Edoardo"

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  • 2D zernike polynomial expansion: finding the protein-protein binding regions
    Milanetti, Edoardo; Miotto, Mattia; Di Rienzo, Lorenzo; Monti, Michele; Gosti, Giorgio; Ruocco, Giancarlo (Elsevier, 2020)
    We present a method for efficiently and effectively assessing whether and where two proteins can interact with each other to form a complex. This is still largely an open problem, even for those relatively few cases where ...
  • In-silico evidence for a two receptor based strategy of SARS-CoV-2
    Milanetti, Edoardo; Miotto, Mattia; Di Rienzo, Lorenzo; Nagaraj, Madhu; Monti, Michele; Golbek, Thaddeus W.; Gosti, Giorgio; Roeters, Steven J.; Weidner, Tobias; Otzen, Daniel E.; Ruocco, Giancarlo (Frontiers, 2021)
    We propose a computational investigation on the interaction mechanisms between SARS-CoV-2 spike protein and possible human cell receptors. In particular, we make use of our newly developed numerical method able to determine ...
  • Insights on protein thermal stability: a graph representation of molecular interactions
    Miotto, Mattia; Olimpieri, Pier Paolo; Di Rienzo, Lorenzo; Ambrosetti, Francesco; Corsi, Pietro; Lepore, Rosalba; Tartaglia, Gian Gaetano; Milanetti, Edoardo (Oxford University Press, 2019)
    Motivation: Understanding the molecular mechanisms of thermal stability is a challenge in protein biology. Indeed, knowing the temperature at which proteins are stable has important theoretical implications, which are ...
  • Prediction of time series gene expression and structural analysis of gene regulatory networks using recurrent neural networks
    Monti, Michele; Fiorentino, Jonathan; Milanetti, Edoardo; Gosti, Giorgio; Tartaglia, Gian Gaetano (MDPI, 2022)
    Methods for time series prediction and classification of gene regulatory networks (GRNs) from gene expression data have been treated separately so far. The recent emergence of attention-based recurrent neural network (RNN) ...
  • Probing TDP-43 condensation using an in silico designed aptamer
    Zacco, Elsa; Kantelberg, Owen; Milanetti, Edoardo; Armaos, Alexandros, 1989-; Panei, Francesco Paolo; Gregory, Jenna; Jeacock, Kiani; Clarke, David J.; Chandran, Siddharthan; Ruocco, Giancarlo; Gustincich, Stefano; Horrocks, Mathew H.; Pastore, Annalisa; Tartaglia, Gian Gaetano (Nature Research, 2022)
    Aptamers are artificial oligonucleotides binding to specific molecular targets. They have a promising role in therapeutics and diagnostics but are often difficult to design. Here, we exploited the catRAPID algorithm to ...
  • Probing TDP-43 condensation using an in silico designed aptamer
    Zacco, Elsa; Kantelberg, Owen; Milanetti, Edoardo; Armaos, Alexandros, 1989-; Panei, Francesco Paolo; Gregory, Jenna; Jeacock, Kiani; Clarke, David J.; Chandran, Siddharthan; Ruocco, Giancarlo; Gustincich, Stefano; Horrocks, Mathew H.; Pastore, Annalisa; Tartaglia, Gian Gaetano (Nature Research, 2022)
    Aptamers are artificial oligonucleotides binding to specific molecular targets. They have a promising role in therapeutics and diagnostics but are often difficult to design. Here, we exploited the catRAPID algorithm to ...
  • Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
    Vandelli, Andrea; Monti, Michele; Milanetti, Edoardo; Armaos, Alexandros, 1989-; Rupert, Jakob; Zacco, Elsa; Bechara, Elias; Delli Ponti, Riccardo, 1987-; Tartaglia, Gian Gaetano (Oxford University Press, 2020)
    Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2000 coronaviruses and computed >100 000 human protein interactions with severe acute ...

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