1. 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: 2327; Downloads: 65
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2. 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: 3208; Downloads: 0
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4. 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: 4228; Downloads: 221
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5. Accurate estimation of the entropy of rotation-translation probability distributionsFederico Fogolari, Cedrix Jurgal Dongmo Foumthuim, Sara Fortuna, Miguel Angel Soler, Alessandra Corazza, Gennaro Esposito, 2016, original scientific article Abstract: The estimation of rotational and translational entropies in the context of ligand binding has been the subject of long-time investigations. The high dimensionality (six) of the problem and the limited amount of sampling often prevent the required resolution to provide accurate estimates by the histogram method. Recently, the nearest-neighbor distance method has been applied to the problem, but the solutions provided either address rotation and translation separately, therefore lacking correlations, or use a heuristic approach. Here we address rotational–translational entropy estimation in the context of nearest-neighbor-based entropy estimation, solve the problem numerically, and provide an exact and an approximate method to estimate the full rotational–translational entropy.
Keywords: entropy, probability distribution, molecular dynamics, nearest-neighbor
Published in RUNG: 11.10.2016; Views: 4365; Downloads: 0
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6. Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodiesMiguel Soler, Ario De Marco, Sara Fortuna, 2016, original scientific article Abstract: Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular
recognition. Their small size represents a precious advantage for rational mutagenesis based on
modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate
mutations by developing a simulation protocol based on all-atom molecular dynamics and wholemolecule
docking. The method was tested on two sets of nanobodies characterized experimentally
for their biophysical features. One set contained point mutations introduced to humanize a wild type
sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae
and human hallmarks. The method resulted in accurate scoring approaches to predict experimental
yields and enabled to identify the structural modifications induced by mutations. This work is a
promising tool for the in silico development of single-domain antibodies and opens the opportunity to
customize single functional domains of larger macromolecules
Keywords: nanobodies, molecular dynamics, modeling, antibody solubility
Published in RUNG: 11.10.2016; Views: 4661; Downloads: 244
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