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

Opis: In silico modeling to improve the biophysical characteristics of recombinant single-domain antibodies
Najdeno v: ključnih besedah
Povzetek najdenega: ...In silico modeling to improve the biophysical characteristics of recombinant...
Ključne besede: nanobodies, modeling, protein stability, antibody humanization, molecular dynamics
Objavljeno: 26.04.2016; Ogledov: 1382; Prenosov: 0
.pdf Polno besedilo (2,42 MB)

3.
From Trajectory Modeling to Social Habits and Behaviors Analysis
Donatella Gubiani, Marco Pavan, 2016, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: In recent years, the widespread of mobile devices has made easier and popular the activities of recording locations visited by users and of inferring their trajectories. The availability of such large amount of spatio-temporal data opens new challenges to automatically extract information and get valuable knowledge. The many aspects of this issue have aroused the interest of researchers in several areas, such as information retrieval, data mining, context-aware computing, security and privacy issues, urban planning, and transport management. Recently, there has been a strong interest in understanding how people move during their common daily activities in order to get information about their behaviors and habits. In this paper we describe considerable recent research works related to the analysis of mobile spatio-temporal data, focusing on the study of social habits and behaviors. We provide a general perspective on studies on human mobility by depicting and comparing methods and algorithms, highlighting some critical issues related to information extraction from spatio-temporal data, and future research directions.
Najdeno v: ključnih besedah
Ključne besede: Trajectory modeling, Social habits and behaviors, Spatio-temporal data, Data mining
Objavljeno: 18.11.2016; Ogledov: 1726; Prenosov: 0
.pdf Polno besedilo (652,73 KB)

4.
Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies
Ario de Marco, Miguel Soler, 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
Najdeno v: ključnih besedah
Povzetek najdenega: ...nanobodies, molecular dynamics, modeling, antibody solubility...
Ključne besede: nanobodies, molecular dynamics, modeling, antibody solubility
Objavljeno: 11.10.2016; Ogledov: 1455; Prenosov: 135
.pdf Polno besedilo (1,95 MB)

5.
Is there an approach for optimizing the specific binding of antibodies to target cells?
Ario De Marco, predavanje na tuji univerzi

Najdeno v: ključnih besedah
Povzetek najdenega: ...Nanobodies, avidity, modeling, off-target accumulation...
Ključne besede: Nanobodies, avidity, modeling, off-target accumulation
Objavljeno: 31.01.2017; Ogledov: 1201; Prenosov: 0
.pdf Polno besedilo (81,48 KB)

6.
Nanobodies: towards rational design of immune-reagents
Ario De Marco, 2017, objavljeni povzetek znanstvenega prispevka na konferenci (vabljeno predavanje)

Opis: Antibodies are irreplaceable reagents in both research and clinical practice. Despite their relevance, the structural complexity of conventional mono- and polyclonal antibodies (IgG) has always been a limit for their engineering towards reagents optimized for specific applications, such as in vivo diagnostics and therapy. Furthermore, their isolation is time consuming, their production expensive, and their functionalization results often in heterogeneous macromolecule populations. These drawbacks promoted the search for both innovative antibody isolation strategies and alternative scaffolds. In vitro panning of pre-immune collections of recombinant antibody fragments allows for the simple and fast recovery of binders. Since they did not undergo somatic maturation, their affinity for targets can be insufficient but on the other hand they can be rapidly mutated by standard molecular biology techniques to generate second-generation antibodies among which to identify clones with improved characteristics. Both stochastic and rational methods have been proposed for the optimization process. Random mutagenesis followed by panning at stringent conditions has been successful used to select binders with improved physical characteristics. Rational methods try to identify in silico key residues involved in the regulation of specific antibody features, such as stability or binding affinity. The accuracy of these methods usually depends on the calculation resources. In this perspective, smaller molecules can be analyzed “better” than larger because of their restricted number of residues. Nanobodies small dimensions have been long appreciated since enable better tissue penetration, shorter clearance time, higher yields. Now it becomes evident that this characteristic makes them also optimal objects for modeling.
Najdeno v: ključnih besedah
Ključne besede: recombinant antibody modeling, nanobody engineering, molecular dynamics and docking
Objavljeno: 21.03.2018; Ogledov: 1154; Prenosov: 0
.pdf Polno besedilo (638,20 KB)

7.
Binding affinity prediction of nanobody–protein complexes by scoring of molecular dynamics trajectories
Miguel Soler, Sara Fortuna, Ario de Marco, Alessandro Laio, 2018, izvirni znanstveni članek

Najdeno v: ključnih besedah
Povzetek najdenega: ...in silico modeling, nanobodies, binding affinity prediction...
Ključne besede: in silico modeling, nanobodies, binding affinity prediction
Objavljeno: 15.01.2018; Ogledov: 860; Prenosov: 0
.pdf Polno besedilo (2,45 MB)

8.
Search for dark matter gamma-ray emission from the Andromeda Galaxy with the High-Altitude Water Cherenkov Observatory
Gabrijela Zaharijas, Christopher Eckner, 2018, izvirni znanstveni članek

Najdeno v: ključnih besedah
Ključne besede: dark matter experiments, semi-analytic modeling
Objavljeno: 24.08.2018; Ogledov: 576; Prenosov: 0
.pdf Polno besedilo (21,60 MB)

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