PEPTIDE PROBES AS FAST ANALYTICAL METHOD OF TARGET MOLECULES

The proprietary computational protocol - developed by prof. Laio - is capable to optimize the sequence and binding conformation of peptides that recognize with high affinity and specificity the structure of a selected molecule in any solvent environment. In silico design of peptides takes advantage of the growing computing power and the accuracy enhancement of binding affinity predictions to optimize from scratch peptides as binders of specific targets. Peptides can be designed specifically for the structural recognition of any organic molecule under any environmental conditions, which can be previously chosen and they can be used in biosensors (Cosmetics, Environment, Food Safety, etc.) in order to monitor and screen routinely and at a low cost the presence of the target molecule.

MAIN ADVANTAGES:

i) Fast and low-cost synthesis of peptides (cheaper than antibodies);

ii) Designed specifically to work in nonstandard environment conditions (organic solvents, high temperature, non-neutral pH, etc.);

iii) Possibility to be exploited in low-cost monitoring devices;

COLLABORATION OFFER:

Joint activity in the peptide design and implementation (as well as its operational validation) for the recognition of a specific molecule proposed by the Industrial Partner, who will be entitled to negotiate an exclusive right of commercial exploitation of the final product.

SCIENTIFIC DIRECTOR:

Alessandro Laio is Full Professor in the Statistical and Biological Physics sector at SISSA. His main research and scientific activity is focused on the development of techniques related to enhancing the capability of computer simulations to provide predictive answers for complex heterogeneous systems. At the moment, he is also the President of the Centre Européen de Calcul Atomique et Moléculaire (CECAM) in Lausanne, Switzerland.