フォロー
Marco Giulini
Marco Giulini
確認したメール アドレス: uu.nl
タイトル
引用先
引用先
An information-theory-based approach for optimal model reduction of biomolecules
M Giulini, R Menichetti, MS Shell, R Potestio
Journal of chemical theory and computation 16 (11), 6795-6813, 2020
502020
From system modeling to system analysis: The impact of resolution level and resolution distribution in the computer-aided investigation of biomolecules
M Giulini, M Rigoli, G Mattiotti, R Menichetti, T Tarenzi, R Fiorentini, ...
Frontiers in Molecular Biosciences 8, 676976, 2021
342021
A deep graph network–enhanced sampling approach to efficiently explore the space of reduced representations of proteins
F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio
Frontiers in Molecular Biosciences 8, 637396, 2021
132021
Impact of AlphaFold on structure prediction of protein complexes: the CASP15‐CAPRI experiment
MF Lensink, G Brysbaert, N Raouraoua, PA Bates, M Giulini, RV Honorato, ...
Proteins: Structure, Function, and Bioinformatics 91 (12), 1658-1683, 2023
122023
A journey through mapping space: characterising the statistical and metric properties of reduced representations of macromolecules
R Menichetti, M Giulini, R Potestio
The European Physical Journal B 94, 1-26, 2021
122021
A deep learning approach to the structural analysis of proteins
M Giulini, R Potestio
Interface focus 9 (3), 20190003, 2019
112019
Machine learning models for predicting endocrine disruption potential of environmental chemicals
M Chierici, M Giulini, N Bussola, G Jurman, C Furlanello
Journal of Environmental Science and Health, Part C 36 (4), 237-251, 2018
112018
Making sense of complex systems through resolution, relevance, and mapping entropy
R Holtzman, M Giulini, R Potestio
Physical Review E 106 (4), 044101, 2022
72022
ARCTIC-3D: automatic retrieval and clustering of interfaces in complexes from 3D structural information
M Giulini, RV Honorato, JL Rivera, AMJJ Bonvin
Communications Biology 7 (1), 49, 2024
12024
Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking
M Giulini, C Schneider, D Cutting, N Desai, C Deane, AMJJ Bonvin
bioRxiv, 2023.11. 17.567543, 2023
12023
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs
F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio
arXiv preprint arXiv:2007.08658, 2020
12020
EXCOGITO, an extensible coarse-graining toolbox for the investigation of biomolecules by means of low-resolution representation
M Giulini, R Fiorentini, L Tubiana, R Potestio, R Menichetti
arXiv preprint arXiv:2403.08097, 2024
2024
The mapping problem in coarse-grained modelling of biomolecules
M Giulini
Università degli studi di Trento, 2022
2022
Measurement and minimisation of the Mapping Entropy of a Coarse-Grained biomolecular system
M Giulini
MDPI, 2021
2021
Assessing the quality of reduced representations of biomolecules
M Giulini
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