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11.
Accurate estimation of the entropy of rotation-translation probability distributions
Federico Fogolari, Cedrix Jurgal Dongmo Foumthuim, Sara Fortuna, Miguel Angel Soler, Alessandra Corazza, Gennaro Esposito, 2016, izvirni znanstveni članek

Opis: 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.
Ključne besede: entropy, probability distribution, molecular dynamics, nearest-neighbor
Objavljeno v RUNG: 11.10.2016; Ogledov: 4387; Prenosov: 0
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12.
Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies
Miguel Soler, Ario De Marco, Sara Fortuna, 2016, izvirni znanstveni članek

Opis: 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
Ključne besede: nanobodies, molecular dynamics, modeling, antibody solubility
Objavljeno v RUNG: 11.10.2016; Ogledov: 4689; Prenosov: 244
.pdf Celotno besedilo (1,95 MB)

13.
Computational design of customised nanobodies for biotechnological applications
Miguel Soler, Ario De Marco, Sara Fortuna, 2016, prispevek na konferenci brez natisa

Opis: In silico modeling to improve the biophysical characteristics of recombinant single-domain antibodies
Ključne besede: nanobodies, modeling, protein stability, antibody humanization, molecular dynamics
Objavljeno v RUNG: 26.04.2016; Ogledov: 4670; Prenosov: 0
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14.
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