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Gabriele Orlando

Showing results (1-10 of 34) with videos related to

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Nature Communications|June 9, 2019
Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical indexGabriele Orlando, Daniele Raimondi, Wim F Vranken
Plos One|July 11, 2015
An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation ModelDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Bioinformatics (Oxford, England)|December 11, 2014
Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirementsDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Plos Computational Biology|May 1, 2020
Insight into the protein solubility driving forces with neural attentionDaniele Raimondi, Gabriele Orlando, Piero Fariselli, et al.
Bioinformatics (Oxford, England)|March 21, 2024
Integrating physics in deep learning algorithms: a force field as a PyTorch moduleGabriele Orlando, Luis Serrano, Joost Schymkowitz, et al.
Scientific Reports|November 16, 2019
Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysisDaniele Raimondi, Gabriele Orlando, Wim F Vranken, et al.
Human Mutation|September 27, 2016
Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation StateDaniele Raimondi, Gabriele Orlando, Joris Messens, et al.
Bioinformatics (Oxford, England)|April 24, 2018
Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time WarpingDaniele Raimondi, Gabriele Orlando, Yves Moreau, et al.
Nucleic Acids Research|May 28, 2020
ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift valuesGabriele Orlando, Daniele Raimondi, Luciano Porto Kagami, et al.
Journal of Molecular Biology|April 26, 2022
Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein DynamicsGabriele Orlando, Daniele Raimondi, Francesco Codicè, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Nature Communications|June 9, 2019
Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical indexGabriele Orlando, Daniele Raimondi, Wim F Vranken
Plos One|July 11, 2015
An Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation ModelDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Bioinformatics (Oxford, England)|December 11, 2014
Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirementsDaniele Raimondi, Gabriele Orlando, Wim F Vranken
Plos Computational Biology|May 1, 2020
Insight into the protein solubility driving forces with neural attentionDaniele Raimondi, Gabriele Orlando, Piero Fariselli, et al.
Bioinformatics (Oxford, England)|March 21, 2024
Integrating physics in deep learning algorithms: a force field as a PyTorch moduleGabriele Orlando, Luis Serrano, Joost Schymkowitz, et al.
Scientific Reports|November 16, 2019
Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysisDaniele Raimondi, Gabriele Orlando, Wim F Vranken, et al.
Human Mutation|September 27, 2016
Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation StateDaniele Raimondi, Gabriele Orlando, Joris Messens, et al.
Bioinformatics (Oxford, England)|April 24, 2018
Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time WarpingDaniele Raimondi, Gabriele Orlando, Yves Moreau, et al.
Nucleic Acids Research|May 28, 2020
ShiftCrypt: a web server to understand and biophysically align proteins through their NMR chemical shift valuesGabriele Orlando, Daniele Raimondi, Luciano Porto Kagami, et al.
Journal of Molecular Biology|April 26, 2022
Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein DynamicsGabriele Orlando, Daniele Raimondi, Francesco Codicè, et al.
Pageof 4