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Marco Anteghini

Showing results (1-10 of 8) with videos related to

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Computers in Biology and Medicine|April 4, 2025
How did we get there? AI applications to biological networks and sequencesMarco Anteghini, Francesco Gualdi, Baldo Oliva
International Journal of Molecular Sciences|July 2, 2021
In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal ProteinsMarco Anteghini, Vitor Martins Dos Santos, Edoardo Saccenti
Methods in Molecular Biology (Clifton, N.J.)|March 23, 2023
Computational Approaches for Peroxisomal Protein LocalizationMarco Anteghini, Vitor A P Martins Dos Santos
Chemical Science|May 27, 2021
Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experimentArghadwip Paul, Suman Samantray, Marco Anteghini, et al.
Journal of Cellular Biochemistry|October 25, 2023
PortPred: Exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substratesMarco Anteghini, Vitor Ap Martins Dos Santos, Edoardo Saccenti
Computational and Structural Biotechnology Journal|December 22, 2022
OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detectionMarco Anteghini, Asmaa Haja, Vitor A P Martins Dos Santos, et al.
Frontiers in Physiology|March 17, 2022
Insights Into the Peroxisomal Protein Inventory of ZebrafishMaki Kamoshita, Rechal Kumar, Marco Anteghini, et al.
Microbial Cell (Graz, Austria)|February 27, 2025
Integrative Omics reveals changes in the cellular landscape of peroxisome-deficient <i>pex3</i> yeast cellsTjasa Kosir, Hirak Das, Marc Pilegaard Pedersen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|April 4, 2025
How did we get there? AI applications to biological networks and sequencesMarco Anteghini, Francesco Gualdi, Baldo Oliva
International Journal of Molecular Sciences|July 2, 2021
In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal ProteinsMarco Anteghini, Vitor Martins Dos Santos, Edoardo Saccenti
Methods in Molecular Biology (Clifton, N.J.)|March 23, 2023
Computational Approaches for Peroxisomal Protein LocalizationMarco Anteghini, Vitor A P Martins Dos Santos
Chemical Science|May 27, 2021
Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experimentArghadwip Paul, Suman Samantray, Marco Anteghini, et al.
Journal of Cellular Biochemistry|October 25, 2023
PortPred: Exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substratesMarco Anteghini, Vitor Ap Martins Dos Santos, Edoardo Saccenti
Computational and Structural Biotechnology Journal|December 22, 2022
OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detectionMarco Anteghini, Asmaa Haja, Vitor A P Martins Dos Santos, et al.
Frontiers in Physiology|March 17, 2022
Insights Into the Peroxisomal Protein Inventory of ZebrafishMaki Kamoshita, Rechal Kumar, Marco Anteghini, et al.
Microbial Cell (Graz, Austria)|February 27, 2025
Integrative Omics reveals changes in the cellular landscape of peroxisome-deficient <i>pex3</i> yeast cellsTjasa Kosir, Hirak Das, Marc Pilegaard Pedersen, et al.
Pageof 1