Izabele Marquetti
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Izabele Marquetti has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
André Luis Guimarães Lemes
4 shared publications- Evandro Bona
Postgraduate Program in Food Technology (PPGTA) Federal University of Technology – Paraná Campo Mourão Brazil
4 shared publications Jade Varaschim Link
4 shared publications- Maria Brígida dos Santos Scholz
Department of Ecophysiology, IAPAR, Londrina, Brazil
3 shared publications Patrícia Valderrama
2 shared publicationsSalil Desai
2 shared publications
Latest Publications
- Open Access
- 30 August 2025
- Published by MDPI AG in Bioengineering
- Vol. 12 (9) , 938
A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations
This perspective article presents an innovative concept for a biomanufacturing Knowledge Hub (KH), designed as a data-driven learning platform supporting the entire lifecycle of biomedical products. By integrating advanced data sharing and processing technologies, the KH aspires to connect patients, bioengineers, clinicians, regulators, companies, and investors to accelerate product development, reduce redundancies, and ultimately fast-track the delivery of biomedical innovations to patients. We discuss current challenges in accessing and sharing data within biomanufacturing and outline novel approaches for building an ecosystem that links data stores, integrates digital twins, and leverages advanced analytics. The KH offers transformative capabilities, enabling the development of new products at a substantial increased speed. It is built as a secure, quantum-resistant platform that encrypts data and allows access through advanced algorithms, creating an intelligent, collaborative environment. Users can harness collective knowledge to enhance products, launch innovations, integrate technologies, and unlock revenue opportunities based on data quality and usage. This KH aims to revolutionize biomanufacturing, offering unprecedented opportunities for innovation, better patient outcomes, and commercialization with far reaching applications beyond biomanufacturing in the future.
- 30 August 2025
- Published by MDPI AG in Bioengineering
- Vol. 12 (9) , 938
Open AccessA Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations
This perspective article presents an innovative concept for a biomanufacturing Knowledge Hub (KH), designed as a data-driven learning platform supporting the entire lifecycle of biomedical products. By integrating advanced data sharing and processing technologies, the KH aspires to connect patients, bioengineers, clinicians, regulators, companies, and investors to accelerate product development, reduce redundancies, and ultimately fast-track the delivery of biomedical innovations to patients. We discuss current challenges in accessing and sharing data within biomanufacturing and outline novel approaches for building an ecosystem that links data stores, integrates digital twins, and leverages advanced analytics. The KH offers transformative capabilities, enabling the development of new products at a substantial increased speed. It is built as a secure, quantum-resistant platform that encrypts data and allows access through advanced algorithms, creating an intelligent, collaborative environment. Users can harness collective knowledge to enhance products, launch innovations, integrate technologies, and unlock revenue opportunities based on data quality and usage. This KH aims to revolutionize biomanufacturing, offering unprecedented opportunities for innovation, better patient outcomes, and commercialization with far reaching applications beyond biomanufacturing in the future.
- Open Access
- 8 January 2019
- Published by Royal Society of Chemistry (RSC) in RSC Advances
- Vol. 9 (2) , 906-916
Orientation effects on the nanoscale adsorption behavior of bone morphogenetic protein-2 on hydrophilic silicon dioxide
Bone Morphogenetic Protein-2 (BMP-2) is a growth factor associated with different developmental functions in regenerative medicine and tissue engineering. Because of its favorable properties for the development of bone and cartilage tissue, BMP-2 promotes the biocompatibility of medical implants. In this research, molecular dynamics simulations were implemented to simulate the interaction of BMP-2 with a flat hydrophilic silicon dioxide substrate, an important biomaterial for medical applications. We considered the influence of four orthogonal protein orientations on the adsorption behavior. Results showed that arginine and lysine were the main residues to interact with the silicon dioxide substrate, directly adsorbing onto the surface and overcoming water layers. However, between these charged residues, we observed a preference for arginine to adsorb. Orientations with the α-helix loop closer to the surface at the beginning of the simulations had greater loss of secondary structure as compared to the other configurations. Among all the orientations, the end-on B configuration had favorable adsorption characteristics with a binding energy of 14 000 kJ mol−1 and retention of 21.7% β-sheets as confirmed by the Ramachandran plots. This research provides new insights into the nanoscale interaction of BMP-2 and silicon dioxide substrate with applications in orthopedic implants and regenerative medicine.
- 8 January 2019
- Published by Royal Society of Chemistry (RSC) in RSC Advances
- Vol. 9 (2) , 906-916
Open AccessOrientation effects on the nanoscale adsorption behavior of bone morphogenetic protein-2 on hydrophilic silicon dioxide
Bone Morphogenetic Protein-2 (BMP-2) is a growth factor associated with different developmental functions in regenerative medicine and tissue engineering. Because of its favorable properties for the development of bone and cartilage tissue, BMP-2 promotes the biocompatibility of medical implants. In this research, molecular dynamics simulations were implemented to simulate the interaction of BMP-2 with a flat hydrophilic silicon dioxide substrate, an important biomaterial for medical applications. We considered the influence of four orthogonal protein orientations on the adsorption behavior. Results showed that arginine and lysine were the main residues to interact with the silicon dioxide substrate, directly adsorbing onto the surface and overcoming water layers. However, between these charged residues, we observed a preference for arginine to adsorb. Orientations with the α-helix loop closer to the surface at the beginning of the simulations had greater loss of secondary structure as compared to the other configurations. Among all the orientations, the end-on B configuration had favorable adsorption characteristics with a binding energy of 14 000 kJ mol−1 and retention of 21.7% β-sheets as confirmed by the Ramachandran plots. This research provides new insights into the nanoscale interaction of BMP-2 and silicon dioxide substrate with applications in orthopedic implants and regenerative medicine.
- 1 August 2018
- Published by Elsevier in Chemical Physics Letters
- Vol. 706, 285-294
Molecular modeling the adsorption behavior of bone morphogenetic protein-2 on hydrophobic and hydrophilic substrates
- 1 August 2018
- Published by Elsevier in Chemical Physics Letters
- Vol. 706, 285-294
Molecular modeling the adsorption behavior of bone morphogenetic protein-2 on hydrophobic and hydrophilic substrates
- Open Access
- 1 February 2018
- Published by Science Publications in American Journal of Engineering and Applied Sciences
- Vol. 11 (2) , 1037-1044
Adsorption Behavior of Bone Morphogenetic Protein-2 on a Graphite Substrate for Biomedical Applications
The interaction of proteins with biomaterials plays an important role for several biomedical applications including implants and tissue engineering. Although different experimental approaches have been explored, the investigation of the molecular models for protein-substrate interaction is warranted to control of cellular functions. In this study, Molecular Dynamics (MD) simulations were used to study the adsorption behavior of Bone Morphogenetic Protein-2 (BMP-2) on a hydrophobic graphite substrate. The influence of four different orientations of the protein with the substrate was evaluated based on their adsorption behavior. Results indicate a strong influence of the initial configuration on the adsorption. Protein unfolding was observed for most orientations with preferential binding of residues within the vicinity of the substrate. Most of the secondary structure of the protein was preserved during the simulation with a minor reduction of β-sheet structures. This research provides a detailed understanding of the interaction of BMP-2 with biomaterial surfaces.
- 1 February 2018
- Published by Science Publications in American Journal of Engineering and Applied Sciences
- Vol. 11 (2) , 1037-1044
Open AccessAdsorption Behavior of Bone Morphogenetic Protein-2 on a Graphite Substrate for Biomedical Applications
The interaction of proteins with biomaterials plays an important role for several biomedical applications including implants and tissue engineering. Although different experimental approaches have been explored, the investigation of the molecular models for protein-substrate interaction is warranted to control of cellular functions. In this study, Molecular Dynamics (MD) simulations were used to study the adsorption behavior of Bone Morphogenetic Protein-2 (BMP-2) on a hydrophobic graphite substrate. The influence of four different orientations of the protein with the substrate was evaluated based on their adsorption behavior. Results indicate a strong influence of the initial configuration on the adsorption. Protein unfolding was observed for most orientations with preferential binding of residues within the vicinity of the substrate. Most of the secondary structure of the protein was preserved during the simulation with a minor reduction of β-sheet structures. This research provides a detailed understanding of the interaction of BMP-2 with biomaterial surfaces.
- 1 February 2016
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 121, 313-319
Partial least square with discriminant analysis and near infrared spectroscopy for evaluation of geographic and genotypic origin of arabica coffee
- 1 February 2016
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 121, 313-319
Partial least square with discriminant analysis and near infrared spectroscopy for evaluation of geographic and genotypic origin of arabica coffee
- 1 May 2014
- Published by Elsevier in Food Research International
- Vol. 59, 1-7
Geographical and genotypic segmentation of arabica coffee using self-organizing maps
- 1 May 2014
- Published by Elsevier in Food Research International
- Vol. 59, 1-7
Geographical and genotypic segmentation of arabica coffee using self-organizing maps