1. Interference of p53:Twist1 interaction through competing nanobodiesSerena D'Agostino, Elisa Mazzega, Katja Praček, Sara Piccinin, Flavia Pivetta, Michela Armellin, Sara Fortuna, Roberta Maestro, Ario De Marco, 2022, original scientific article Keywords: p53, Twist1, nanobodies, competitive elution, sarcoma Published in RUNG: 03.12.2021; Views: 2273; Downloads: 0 This document has many files! More... |
2. CDR1 composition can affect nanobody recombinant expression yieldsMarco Orlando, Sara Fortuna, Sandra Oloketuyi, Gregor Bajc, Adi Goldenzweig, Ario De Marco, 2021, original scientific article Keywords: nanobodies, in silico engineering, mutagenesis Published in RUNG: 15.09.2021; Views: 2325; Downloads: 45 Full text (2,37 MB) |
3. An anti-HER2 nanobody binds to its antigen HER2 via two independent paratopesDaniele Ubbiali, Marco Orlando, Matic Kovačič, Claudio Iacobucci, Marta S. Semrau, Gregor Bajc, Sara Fortuna, Gregor Ilc, Barbara Medagli, Sandra Oloketuyi, Ario De Marco, 2021, original scientific article Keywords: NMR, cross-linking, mass spectrometry, nanobodies, modelling, rational mutagenesis Published in RUNG: 15.04.2021; Views: 3086; Downloads: 0 This document has many files! More... |
4. Effect of Humanizing Mutations on the Stability of the Llama Single-Domain Variable RegionMiguel Soler, Barbara Medagli, Jiewen Wang, Sandra Oloketuyi, Gregor Bajc, He Huang, Sara Fortuna, Ario De Marco, 2021, original scientific article Keywords: nanobody framework, modeling, nanobody humanization, CDR grafting Published in RUNG: 27.01.2021; Views: 3032; Downloads: 68 Full text (2,00 MB) |
5. A consensus protocol for the in silico optimisation of antibody fragmentsMiguel Soler, Barbara Medagli, Marta S. Semrau, Paola Storici, Gregor Bajc, Ario De Marco, Alessandro Laio, Sara Fortuna, 2019, original scientific article Keywords: nanobodies, in silico design, Her2 Published in RUNG: 21.11.2019; Views: 3844; Downloads: 0 This document has many files! More... |
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7. Formation of Hybrid Electronic States in FePc Chains Mediated by the Au(110) SurfaceMaria Grazia Betti, Pierluigi Gargiani, Carlo Mariani, Stefano Turchini, Nicola Zema, Sara Fortuna, Arrigo Calzolari, Stefano Fabris, 2012, original scientific article Abstract: Iron–phthalocyanine (FePc) molecules deposited on the Au(110) surface self-organize in ordered chains driven by the reconstructed Au channels. The interaction process induces a rehybridization of the electronic states localized on the central metal atom, breaking the 4-fold symmetry of the molecular orbitals of the FePc molecules. The molecular adsorption is controlled by a symmetry-determined mixing between the electronic states of the Fe metal center and of the Au substrate, as deduced by photoemission and absorption spectroscopy exploiting light polarization. DFT calculations rationalize this mixing of the Fe and Au states on the basis of symmetry arguments. The calculated electronic structure reproduces the main experimental spectral features, which are associated to a distorted molecular structure displaying a trigonal bipyramidal geometry of the ligands around the metal center. Keywords: phthalocyanine, Au(110), gold, surface, DFT, density functional theory, calculation, simulation Published in RUNG: 13.10.2016; Views: 5654; Downloads: 0 This document has many files! More... |
8. Structural phases of ordered FePc-nanochains self-assembled on Au(110)Betti Maria Grazia, Pierluigi Gargiani, Carlo Mariani, Roberto Biagi, Jun Fujii, Giorgio Rossi, Andrea Resta, Stefano Fabris, Sara Fortuna, Xavier Torrelles, Manvendra Kumar, Maddalena Pedio, 2012, original scientific article Abstract: Iron-phthalocyanine molecules deposited on the Au(110) reconstructed channels assemble into one-dimensional molecular chains, whose spatial distribution evolves into different structural phases at increasing molecular density. The plasticity of the Au channels first induces an ordered phase with a 5×5 symmetry, followed by a second long-range ordered structure composed by denser chains with a 5×7 periodicity with respect to the bare Au surface, as observed in the low-energy electron-diffraction (LEED) and grazing incidence X-ray diffraction (GIXRD) patterns. The geometry of the FePc molecular assemblies in the Au nanorails is determined by scanning tunneling microscopy (STM). For the 5×7 phases, the GIXRD analysis identifies a “4-3” rows profile along the [001] direction in the Au surface and an on-top FePc adsorption site, further confirmed by density functional theory (DFT) calculations. The latter also reveals the electronic mixing of the interface states. The chain assembly is driven by the molecule–molecule interaction and the chains interact with the Au nanorails via the central metal atom, while the chain–chain distance in the different structural phases is primarily driven by the plasticity of the Au surface. Keywords: STM, LEED, DFT, density functional theory, phthalocyanine, Au(110), gold, surface Published in RUNG: 13.10.2016; Views: 5397; Downloads: 0 This document has many files! More... |
9. Spin and orbital configuration of metal phthalocyanine chains assembled on the Au(110) surfaceGargiani Pierluigi, Giorgio Rossi, Roberto Biagi, Valdis Corradini, Maddalena Pedio, Sara Fortuna, Arrigo Calzolari, Stefano Fabris, Julio Criginski Cezar, N. B. Brookes, Maria Grazia Betti, 2013, original scientific article Abstract: The spin and orbital configuration of magnetic metal phthalocyanines (MPcs) deposited on metallic substrates are strongly influenced by the rehybridization of the molecular states with the underlying metal. FePc, CoPc, and CuPc isolated molecules are archetypal systems to investigate the interrelationship between magnetic moments and orbital symmetry after deposition on a metallic substrate. MPcs form long-range ordered chains self-assembled along the reconstructed channels of the Au(110) surface. X-ray magnetic circular dichroism from the L2,3 absorption edges of Fe, Co, and Cu shows that the orbital and spin configuration are strongly modified upon adsorption on the Au(110) surface if the orbitals responsible of the magnetic moment are involved in the interaction process. The magnetic moment for a single layer of molecular chains is completely quenched for the CoPc molecules, fully preserved for the CuPc and reduced for the FePc ones. The modified magnetic configuration is confined to the very interface layer, i.e., to the MPc molecules bound to the metal substrate up to the compact packing of the single layer. The different response can be rationalized in terms of the symmetry/orientation of the metal-ion d states interacting with the substrate states, as indicated by density functional theory calculations in agreement with experimental findings. Keywords: phthalocyanine, Au(110), gold, self-assembly, pattern, configuration, density functional theory, DFT, CuPc, FePc Published in RUNG: 12.10.2016; Views: 5408; Downloads: 0 This document has many files! More... |
10. Distance-based configurational entropy of proteins from molecular dynamics simulationsFederico Fogolari, Alessandra Corazza, Sara Fortuna, Miguel Angel Soler, Bryan VanSchouwen, Giorgia Brancolini, Stefano Corni, Giuseppe Melacini, Gennaro Esposito, 2015, original scientific article Abstract: Estimation of configurational entropy from molecular dynamics trajectories is a difficult task which is often performed using quasi-harmonic or histogram analysis. An entirely different approach, proposed recently, estimates local density distribution around each conformational sample by measuring the distance from its nearest neighbors. In this work we show this theoretically well grounded the method can be easily applied to estimate the entropy from conformational sampling. We consider a set of systems that are representative of important biomolecular processes.
In particular:
reference entropies for amino acids in unfolded proteins are obtained from a database of residues not participating in secondary structure elements;
the conformational entropy of folding of β2-microglobulin is computed from molecular dynamics simulations using reference entropies for the unfolded state;
backbone conformational entropy is computed from molecular dynamics simulations of four different states of the EPAC protein and compared with order parameters (often used as a measure of entropy);
the conformational and rototranslational entropy of binding is computed from simulations of 20 tripeptides bound to the peptide binding protein OppA and of β2-microglobulin bound to a citrate coated gold surface.
This work shows the potential of the method in the most representative biological processes involving proteins, and provides a valuable alternative, principally in the shown cases, where other approaches are problematic. Keywords: entropy, protein, molecular dynamics, simulations, MD Published in RUNG: 12.10.2016; Views: 5195; Downloads: 222 Full text (2,40 MB) |