Technologies

The Biocrystal Facility, a large multidisciplinary laboratory established at the Institute of Molecular Biology and Pathology (IBPM) of CNR, in collaboration with the Biochemistry Department of Sapienza University aims at supporting the italian scientists and the pharmaceutical companies in the research to find new drug and vaccine against the endemic and epidemic diseases through structure-based drug design.

The virtual dynamic docking, carried out in the MOLBD3 lab of the Institute of Biophysics, allows the identification of new drugs through the structural information deriving from the study of target proteins, responsible for some human pathologies. In particular, we screen drugs or small molecules (commercial/own libraries) against known protein sites, surface cavities, surfaces of protein-protein interactions (fixed/rigid hotspots) or structural transition states (dynamic hotspots).

Our innovative proposal involves an educational robotics training program, resulting from an experimental research that combines traditional educational approaches with the utilization of robotics. Specifically, the educational robot Thymio, developed by EPFL, serves as a facilitator in the learning process to enhance School Readiness.

We developed a procedure aimed at simultaneously treating thousands of C.elegans model organisms, from eggs to old adult, in liquid, in 96- or 384-well plates. This procedure can be used to perform drug and toxicological screening of millions of compounds, in very small volumes and on millions of animals. Thanks to easy handling, semi-automatic analysis can be performed using plate readers or High Content Screening instruments.

In the last years, genetics played a strategic role in the identification of therapeutic targets for complex diseases. Genetic studies identified thousands of variants contributing to disease onset and/or to the influence of measurable features (phenotypes) impacting health. The mechanism of action by which they modulate diseases and phenotypes is still unknown for the vast majority.

Lifeshell is an anti-seismic furniture construction concept, which can be used for making wardrobes, tables, desktops, beds. It’s made by timber based panels: highly resistant and flexible, relatively lightweight and inexpensive. Lifeshell benefits from the natural wood elasticity and from smart connections for dissipating the great impact energies occurring during an earthquake. Lifeshell has been designed for resisting partial building collapses, and to provide a safe shell where inhabitants can find refuge.

An innovative approach for the treatment of diabetic and venous ulcers, characterized by a difficult healing process and therefore at potential risk of infection and therefore of hospitalization and amputation of the limb, is represented by the local administration of "bioactive" factors through the use of synthetic and/or biological matrices that allow a gradual and controlled release in order to obtain a better and faster healing.

We offer integrated tools for the acquisition, analysis, modelling and optimization of visitor flows in museums characterized by frequent congestion and/or complex geometries. Our intervention is divided into 4 phases:

1) Data acquisition related to the paths followed by visitors in the museum, number of visitors in the rooms, time of permanence, ... The acquisition is performed via a specific IoT system, smartphone app or manual counting.

Recently, nanoparticles and nanovesicles have been investigated as potential approaches for the treatment of neurodegenerative diseases. In particular, in the Biotech sector an increasingly deeper penetration of new treatment models and biological drugs based on cellular, subcellular and vesicle therapies is expected. The patent is based on the production of Myelin-based nanoVesicles (MyVes) produced by microfluidics, starting from myelin extracted from brain tissue. These vesicles find two major fields of applications as potential drugs or as supplements/nutraceuticals.

Filamentous bacteriophages for size, in vivo biodistribution and easiness of engineering, are considered as natural nanoparticles. The developed technology allows the construction of bio-nanoparticles based on filamentous bacteriophages delivering proteic antigens and immunomodulating lipids. Thanks to the high content of hydrophobic residues, phage capsid proteins have high binding affinity to lipids, allowing the conjugation of immunostimulating lipids.

An interoperable and modular Digital Geospatial Ecosystem (DGE) is proposed, designed, implemented and tested in order to: collect in real time, manage and share geographic data; make usable tools and functionalities to support actions to prevent, monitor and mitigate impacts from extreme events as well as to prepare for and respond to emergency situations. The DGE is composed of the following modules:

Network structures that require the use of a common database are affected by the risk of processing identification data that are necessary for sharing information and updating and processing data with equal access level between the network nodes. However, this sharing could lead risks of vulnerability when identification data are exchanged between the nodes of the network. The proposed information system involves the exchange of information by encrypting the identification data with an MD5 Hashing procedure (RFC1321).

The study of proteins is typically limited to notions, sometimes with the aid of virtual 3D models, obtained from visualization programs. A knowledge of this type, although useful, limits the ability to acquire a more direct knowledge, almost never leads to awareness of dimensions, and is particularly difficult for those who do not have a strong capacity for three-dimensional imagination.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.