Search Results for author:
Found 7 papers, 1 papers with code
Zepyros: A webserver to evaluate the shape complementarity of protein-protein interfaces
Shape complementarity of molecular surfaces at the interfaces is a well-known characteristic of protein-protein binding regions, and it is critical in influencing the stability of the complex.
Determining cancer cells division strategy
Using our novel approach, we found that the dynamics of the size distribution of leukemia Jurkat T-cells is quantitatively reproduced by (i) a sizer-like division strategy, with (ii) division times following an Erlang distribution given by the sum of at least three independent exponentially-distributed times and (iii) fluctuations up to 15\% of the inherited fraction of size at division with respect to the mother cell size.
Osmolyte-Induced Protein Stability Changes Explained by Graph Theory
Enhanced stabilisation of protein structures via the presence of inert excipients is a key mechanism adopted both by physiological systems and in biotechnological applications.
Electrostatic complementarity at the interface drives transient protein-protein interactions
Understanding the molecular mechanisms driving the binding between bio-molecules is a crucial challenge in molecular biology.
Shape Complementarity Optimization of Antibody-Antigen Interfaces: the Application to SARS-CoV-2 Spike Protein
We developed a Monte Carlo procedure to increase the shape complementarity between the antibody paratope and a given epitope on a target protein surface.
Molecular mechanisms behind anti SARS-CoV-2 action of lactoferrin
Despite the huge effort to contain the infection, the novel SARS-CoV-2 coronavirus has rapidly become pandemics, mainly due to its extremely high human-to-human transmission capability, and a surprisingly high viral charge of symptom-less people.
Initial cell density encodes proliferative potential in cancer cell populations
Our results (i) uncover and quantify a previously unnoticed heterogeneity in the growth dynamics of cancer cell populations; (ii) unveil how population growth may be affected by single-cell adaptation times; (iii) contribute to our understanding of the clinically-observed dependence of the primary and metastatic tumor take rates on the initial density of implanted cancer cells.
