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Zhang J, Yang J, Li Q, Peng R, Fan S, Yi H, Lu Y, Peng Y, Yan H, Sun L, Lu J, Chen Z. T Cell Activating Thermostable Self-Assembly Nanoscaffold Tailored for Cellular Immunity Antigen Delivery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303049. [PMID: 37395451 PMCID: PMC10502629 DOI: 10.1002/advs.202303049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Indexed: 07/04/2023]
Abstract
Antigen delivery based on non-virus-like particle self-associating protein nanoscffolds, such as Aquifex aeolicus lumazine synthase (AaLS), is limited due to the immunotoxicity and/or premature clearance of antigen-scaffold complex resulted from triggering unregulated innate immune responses. Here, using rational immunoinformatics prediction and computational modeling, we screen the T epitope peptides from thermophilic nanoproteins with the same spatial structure as hyperthermophilic icosahedral AaLS, and reassemble them into a novel thermostable self-assembling nanoscaffold RPT that can specifically activate T cell-mediated immunity. Tumor model antigen ovalbumin T epitopes and the severe acute respiratory syndrome coronavirus 2 receptor-binding domain are loaded onto the scaffold surface through the SpyCather/SpyTag system to construct nanovaccines. Compared to AaLS, RPT -constructed nanovaccines elicit more potent cytotoxic T cell and CD4+ T helper 1 (Th1)-biased immune responses, and generate less anti-scaffold antibody. Moreover, RPT significantly upregulate the expression of transcription factors and cytokines related to the differentiation of type-1 conventional dendritic cells, promoting the cross-presentation of antigens to CD8+ T cells and Th1 polarization of CD4+ T cells. RPT confers antigens with increased stability against heating, freeze-thawing, and lyophilization with almost no antigenicity loss. This novel nanoscaffold offers a simple, safe, and robust strategy for boosting T-cell immunity-dependent vaccine development.
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Affiliation(s)
- Jinsong Zhang
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Jianghua Yang
- Key Laboratory of Livestock Infectious DiseasesMinistry of EducationShenyang Agricultural UniversityShenyang110866China
| | - Qianlin Li
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Ruihao Peng
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Shoudong Fan
- Liaoning Technology Innovation Center of Nanomaterials for Antibiotics Reduction and ReplacementFengcheng118199China
| | - Huaimin Yi
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Yuying Lu
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Yuanli Peng
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Haozhen Yan
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
| | - Lidan Sun
- Key Laboratory of Livestock Infectious DiseasesMinistry of EducationShenyang Agricultural UniversityShenyang110866China
| | - Jiahai Lu
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
- Research Institute of Sun Yat‐sen University in ShenzhenShenzhen518057China
- Hainan Key Novel Thinktank “Hainan Medical University ‘One Health’ Research Center”Haikou571199China
| | - Zeliang Chen
- One Health Center of Excellence for Research and TrainingSchool of Public HealthSun Yat‐sen UniversityGuangzhou510080China
- NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological ProductsGuangzhou510080China
- Key Laboratory of Tropical Diseases ControlSun Yat‐sen UniversityMinistry of EducationGuangzhou510080China
- Key Laboratory of Livestock Infectious DiseasesMinistry of EducationShenyang Agricultural UniversityShenyang110866China
- Key Laboratory of Zoonose Prevention and Control at Universities of Inner Mongolia Autonomous RegionMedical CollegeInner Mongolia Minzu UniversityTongliao028000China
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Beaudoin CA, Bartas M, Volná A, Pečinka P, Blundell TL. Are There Hidden Genes in DNA/RNA Vaccines? Front Immunol 2022; 13:801915. [PMID: 35211117 PMCID: PMC8860813 DOI: 10.3389/fimmu.2022.801915] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/14/2022] [Indexed: 02/02/2023] Open
Abstract
Due to the fast global spreading of the Severe Acute Respiratory Syndrome Coronavirus - 2 (SARS-CoV-2), prevention and treatment options are direly needed in order to control infection-related morbidity, mortality, and economic losses. Although drug and inactivated and attenuated virus vaccine development can require significant amounts of time and resources, DNA and RNA vaccines offer a quick, simple, and cheap treatment alternative, even when produced on a large scale. The spike protein, which has been shown as the most antigenic SARS-CoV-2 protein, has been widely selected as the target of choice for DNA/RNA vaccines. Vaccination campaigns have reported high vaccination rates and protection, but numerous unintended effects, ranging from muscle pain to death, have led to concerns about the safety of RNA/DNA vaccines. In parallel to these studies, several open reading frames (ORFs) have been found to be overlapping SARS-CoV-2 accessory genes, two of which, ORF2b and ORF-Sh, overlap the spike protein sequence. Thus, the presence of these, and potentially other ORFs on SARS-CoV-2 DNA/RNA vaccines, could lead to the translation of undesired proteins during vaccination. Herein, we discuss the translation of overlapping genes in connection with DNA/RNA vaccines. Two mRNA vaccine spike protein sequences, which have been made publicly-available, were compared to the wild-type sequence in order to uncover possible differences in putative overlapping ORFs. Notably, the Moderna mRNA-1273 vaccine sequence is predicted to contain no frameshifted ORFs on the positive sense strand, which highlights the utility of codon optimization in DNA/RNA vaccine design to remove undesired overlapping ORFs. Since little information is available on ORF2b or ORF-Sh, we use structural bioinformatics techniques to investigate the structure-function relationship of these proteins. The presence of putative ORFs on DNA/RNA vaccine candidates implies that overlapping genes may contribute to the translation of smaller peptides, potentially leading to unintended clinical outcomes, and that the protein-coding potential of DNA/RNA vaccines should be rigorously examined prior to administration.
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Affiliation(s)
- Christopher A. Beaudoin
- Department of Biochemistry, Sanger Building, University of Cambridge, Cambridge, United Kingdom
| | - Martin Bartas
- Department of Biology and Ecology, University of Ostrava, Ostrava, Czechia
| | - Adriana Volná
- Department of Physics, University of Ostrava, Ostrava, Czechia
| | - Petr Pečinka
- Department of Biology and Ecology, University of Ostrava, Ostrava, Czechia
| | - Tom L. Blundell
- Department of Biochemistry, Sanger Building, University of Cambridge, Cambridge, United Kingdom
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Delfi M, Sartorius R, Ashrafizadeh M, Sharifi E, Zhang Y, De Berardinis P, Zarrabi A, Varma RS, Tay FR, Smith BR, Makvandi P. Self-assembled peptide and protein nanostructures for anti-cancer therapy: Targeted delivery, stimuli-responsive devices and immunotherapy. NANO TODAY 2021; 38:101119. [PMID: 34267794 PMCID: PMC8276870 DOI: 10.1016/j.nantod.2021.101119] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Self-assembled peptides and proteins possess tremendous potential as targeted drug delivery systems and key applications of these well-defined nanostructures reside in anti-cancer therapy. Peptides and proteins can self-assemble into nanostructures of diverse sizes and shapes in response to changing environmental conditions such as pH, temperature, ionic strength, as well as host and guest molecular interactions; their countless benefits include good biocompatibility and high loading capacity for hydrophobic and hydrophilic drugs. These self-assembled nanomaterials can be adorned with functional moieties to specifically target tumor cells. Stimuli-responsive features can also be incorporated with respect to the tumor microenvironment. This review sheds light on the growing interest in self-assembled peptides and proteins and their burgeoning applications in cancer treatment and immunotherapy.
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Affiliation(s)
- Masoud Delfi
- Department of Chemical Sciences, University of Naples “Federico II”, Complesso Universitario Monte S. Angelo, Via Cintia, Naples 80126, Italy
| | - Rossella Sartorius
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Naples 80131, Italy
| | - Milad Ashrafizadeh
- Faculty of Engineering and Natural Sciences, Sabanci University, Orta Mahalle, Üniversite Caddesi No. 27, Orhanlı, Tuzla, 34956 Istanbul, Turkey
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Tuzla, 34956, Istanbul, Turkey
| | - Esmaeel Sharifi
- Department of Tissue Engineering and Biomaterials, School of Advanced Medical Sciences and Technologies, Hamadan University of Medical Sciences, 6517838736, Hamadan, Iran
- Institute for Polymers, Composites and Biomaterials, National Research Council, IPCB-CNR, Naples 80125, Italy
| | - Yapei Zhang
- Department of Biomedical Engineering, Institute for Quantitative Health Science & Engineering, Michigan State University, East Lansing, MI 48824, USA
| | | | - Ali Zarrabi
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Tuzla, 34956, Istanbul, Turkey
| | - Rajender S. Varma
- Regional Centre of Advanced Technologies and Materials, Palacký University Olomouc, Šlechtitelů 27, 783 71 Olomouc, Czech Republic
| | - Franklin R Tay
- The Graduate School, Augusta University, Augusta, GA 30912, USA
| | - Bryan Ronain Smith
- Department of Biomedical Engineering, Institute for Quantitative Health Science & Engineering, Michigan State University, East Lansing, MI 48824, USA
- Department of Radiology and the Molecular Imaging Program, Stanford University, Stanford, CA, 94305, USA
| | - Pooyan Makvandi
- Istituto Italiano di Tecnologia, Centre for Micro-BioRobotics, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy
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Mantile F, Capasso A, Villacampa N, Donnini M, Liguori GL, Constantin G, De Berardinis P, Heneka MT, Prisco A. Vaccination with (1-11)E2 in alum efficiently induces an antibody response to β-amyloid without affecting brain β-amyloid load and microglia activation in 3xTg mice. Aging Clin Exp Res 2021; 33:1383-1387. [PMID: 31758499 PMCID: PMC8081683 DOI: 10.1007/s40520-019-01414-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/19/2019] [Indexed: 11/06/2022]
Abstract
Immunization against β-amyloid (Aβ) is pursued as a possible strategy for the prevention of Alzheimer’s disease (AD). In clinical trials, Aβ 1–42 proved poorly immunogenic and caused severe adverse effects; therefore, safer and more immunogenic candidate vaccines are needed. Multimeric protein (1–11)E2 is able to induce an antibody response to Aβ, immunological memory, and IL-4 production, with no concomitant anti-Aβ T cell response. Antisera recognize Aβ oligomers, protofibrils, and fibrils. In this study, we evaluated the effect of prophylactic immunization with three doses of (1–11)E2 in alum in the 3xTg mouse model of AD. Immunization with (1–11)E2 efficiently induced anti-Aβ antibodies, but afforded no protection against Aβ accumulation and neuroinflammation. The identification of the features of the anti-Aβ immune response that correlate with the ability to prevent Aβ accumulation remains an open problem that deserves further investigation.
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Vaccination against β-Amyloid as a Strategy for the Prevention of Alzheimer's Disease. BIOLOGY 2020; 9:biology9120425. [PMID: 33260956 PMCID: PMC7761159 DOI: 10.3390/biology9120425] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 11/20/2020] [Accepted: 11/24/2020] [Indexed: 12/17/2022]
Abstract
Vaccination relies on the phenomenon of immunity, a long-term change in the immunological response to subsequent encounters with the same pathogen that occurs after the recovery from some infectious diseases. However, vaccination is a strategy that can, in principle, be applied also to non-infectious diseases, such as cancer or neurodegenerative diseases, if an adaptive immune response can prevent the onset of the disease or modify its course. Immunization against β-amyloid has been explored as a vaccination strategy for Alzheimer's disease for over 20 years. No vaccine has been licensed so far, and immunotherapy has come under considerable criticism following the negative results of several phase III clinical trials. In this narrative review, we illustrate the working hypothesis behind immunization against β-amyloid as a vaccination strategy for Alzheimer's disease, and the outcome of the active immunization strategies that have been tested in humans. On the basis of the lessons learned from preclinical and clinical research, we discuss roadblocks and current perspectives in this challenging enterprise in translational immunology.
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Mantile F, Capasso A, De Berardinis P, Prisco A. Analysis of the Consolidation Phase of Immunological Memory within the IgG Response to a B Cell Epitope Displayed on a Filamentous Bacteriophage. Microorganisms 2020; 8:microorganisms8040564. [PMID: 32295280 PMCID: PMC7232419 DOI: 10.3390/microorganisms8040564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/07/2020] [Accepted: 04/10/2020] [Indexed: 02/06/2023] Open
Abstract
Immunological memory can be defined as the ability to mount a response of greater magnitude and with faster kinetics upon re-encounter of the same antigen. We have previously reported that a booster dose of a protein antigen given 15 days after the first dose interferes with the development of memory, i.e., with the ability to mount an epitope-specific IgG response of greater magnitude upon re-encounter of the same antigen. We named the time-window during which memory is vulnerable to disruption a “consolidation phase in immunological memory”, by analogy with the memory consolidation processes that occur in the nervous system to stabilize memory traces. In this study, we set out to establish if a similar memory consolidation phase occurs in the IgG response to a B cell epitope displayed on a filamentous bacteriophage. To this end, we have analyzed the time-course of anti-β-amyloid IgG titers in mice immunized with prototype Alzheimer’s Disease vaccine fdAD(2-6), which consists of a fd phage that displays the B epitope AEFRH of β -amyloid at the N-terminus of the Major Capsid Protein. A booster dose of phage fdAD(2-6) given 15 days after priming significantly reduced the ratio between the magnitude of the secondary and primary IgG response to β-amyloid. This analysis confirms, in a phage vaccine, a consolidation phase in immunological memory, occurring two weeks after priming.
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Affiliation(s)
- Francesca Mantile
- Institute of Genetics and Biophysics, CNR, 80131 Naples, Italy; (F.M.); (A.C.)
| | - Angelo Capasso
- Institute of Genetics and Biophysics, CNR, 80131 Naples, Italy; (F.M.); (A.C.)
| | | | - Antonella Prisco
- Institute of Genetics and Biophysics, CNR, 80131 Naples, Italy; (F.M.); (A.C.)
- Correspondence: (P.D.B.); (A.P.)
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Mantile F, Capasso A, De Berardinis P, Prisco A. Identification of a Consolidation Phase in Immunological Memory. Front Immunol 2019; 10:508. [PMID: 30941140 PMCID: PMC6433959 DOI: 10.3389/fimmu.2019.00508] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 02/25/2019] [Indexed: 01/02/2023] Open
Abstract
Long lasting antibody responses and immunological memory are the desired outcomes of vaccination. In general, multiple vaccine doses result in enhanced immune responses, a notable exception being booster-induced hyporesponsiveness, which has been observed with polysaccharide and glycoconjugate vaccines. In this study, we analyzed the effect of early booster doses of multimeric protein vaccine (1-11)E2 on recall memory to B epitope 1-11 of β-amyloid. Mice immunized with a single dose of (1-11)E2 stochastically display, when immunized with a recall dose 9 months later, either memory, i.e., an enhanced response to epitope 1-11, or hyporesponsiveness, i.e., a reduced response. Memory is the most common outcome, achieved by 80% of mice. We observed that a booster dose of vaccine (1-11)E2 at day 15 significantly reduced the ratio between the magnitude of the secondary and primary response, causing an increase of hyporesponsive mice. This booster-dependent disruption of recall memory only occurred in a limited time window: a booster dose at day 21 had no significant effect on the ratio between the secondary and primary response magnitude. Thus, this study identifies a consolidation phase in immunological memory, that is a time window during which the formation of memory is vulnerable, and a disrupting stimulus reduces the probability that memory is achieved.
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Affiliation(s)
| | - Angelo Capasso
- Institute of Genetics and Biophysics, CNR, Naples, Italy
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Costa V, Righelli D, Russo F, De Berardinis P, Angelini C, D'Apice L. Distinct Antigen Delivery Systems Induce Dendritic Cells' Divergent Transcriptional Response: New Insights from a Comparative and Reproducible Computational Analysis. Int J Mol Sci 2017; 18:ijms18030494. [PMID: 28245601 PMCID: PMC5372510 DOI: 10.3390/ijms18030494] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 02/11/2017] [Accepted: 02/21/2017] [Indexed: 12/17/2022] Open
Abstract
Vaccination is the most successful and cost-effective method to prevent infectious diseases. However, many vaccine antigens have poor in vivo immunogenic potential and need adjuvants to enhance immune response. The application of systems biology to immunity and vaccinology has yielded crucial insights about how vaccines and adjuvants work. We have previously characterized two safe and powerful delivery systems derived from non-pathogenic prokaryotic organisms: E2 and fd filamentous bacteriophage systems. They elicit an in vivo immune response inducing CD8+ T-cell responses, even in absence of adjuvants or stimuli for dendritic cells’ maturation. Nonetheless, a systematic and comparative analysis of the complex gene expression network underlying such activation is missing. Therefore, we compared the transcriptomes of ex vivo isolated bone marrow-derived dendritic cells exposed to these antigen delivery systems. Significant differences emerged, especially for genes involved in innate immunity, co-stimulation, and cytokine production. Results indicate that E2 drives polarization toward the Th2 phenotype, mainly mediated by Irf4, Ccl17, and Ccr4 over-expression. Conversely, fd-scαDEC-205 triggers Th1 T cells’ polarization through the induction of Il12b, Il12rb, Il6, and other molecules involved in its signal transduction. The data analysis was performed using RNASeqGUI, hence, addressing the increasing need of transparency and reproducibility of computational analysis.
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Affiliation(s)
- Valerio Costa
- Institute of Genetics and Biophysics "Adriano Buzzati-Traverso", CNR, Via P. Castellino 111, 80131 Naples, Italy.
| | - Dario Righelli
- Dipartimento di Scienze Aziendali-Management & Innovation Systems/DISA-MIS, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy.
- Istituto per le Applicazioni del Calcolo, CNR, Via P. Castellino 111, 80131 Naples, Italy.
| | - Francesco Russo
- Istituto per le Applicazioni del Calcolo, CNR, Via P. Castellino 111, 80131 Naples, Italy.
- Institute of Protein Biochemistry, Consiglio Nazionale delle Ricerche, Via P. Castellino 111, 80131 Naples, Italy.
| | - Piergiuseppe De Berardinis
- Institute of Protein Biochemistry, Consiglio Nazionale delle Ricerche, Via P. Castellino 111, 80131 Naples, Italy.
| | - Claudia Angelini
- Istituto per le Applicazioni del Calcolo, CNR, Via P. Castellino 111, 80131 Naples, Italy.
| | - Luciana D'Apice
- Institute of Protein Biochemistry, Consiglio Nazionale delle Ricerche, Via P. Castellino 111, 80131 Naples, Italy.
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