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 1 - 10 / 1212 1.Genetic programming and artificial neural network modeling of PM10 emission close to a steel plantUroš Župerl, Miha Kovačič, Sandra Senčič, 2013, original scientific articleFound in: ključnih besedahKeywords: steel plant, PM10 concentrations, modeling, genetic programming, artificial neural networkPublished: 25.04.2014; Views: 4101; Downloads: 145 Fulltext (0,00 KB) 2.Computational design of customised nanobodies for biotechnological applicationsSara Fortuna, Ario de Marco, Miguel Soler, 2016, unpublished conference contributionAbstract: In silico modeling to improve the biophysical characteristics of recombinant single-domain antibodiesFound in: ključnih besedahSummary of found: ...In silico modeling to improve the biophysical characteristics of recombinant...Keywords: nanobodies, modeling, protein stability, antibody humanization, molecular dynamicsPublished: 26.04.2016; Views: 3461; Downloads: 0 Fulltext (2,42 MB) 3.From Trajectory Modeling to Social Habits and Behaviors AnalysisDonatella Gubiani, Marco Pavan, 2016, independent scientific component part or a chapter in a monographAbstract: 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.Found in: ključnih besedahKeywords: Trajectory modeling, Social habits and behaviors, Spatio-temporal data, Data miningPublished: 18.11.2016; Views: 3629; Downloads: 0 Fulltext (652,73 KB) 4.Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodiesArio de Marco, Miguel Soler, Sara Fortuna, 2016, original scientific articleAbstract: 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 macromoleculesFound in: ključnih besedahSummary of found: ...nanobodies, molecular dynamics, modeling, antibody solubility...Keywords: nanobodies, molecular dynamics, modeling, antibody solubilityPublished: 11.10.2016; Views: 3518; Downloads: 215 Fulltext (1,95 MB) 5.Is there an approach for optimizing the specific binding of antibodies to target cells?Ario De Marco, invited lecture at foreign universityFound in: ključnih besedahSummary of found: ...Nanobodies, avidity, modeling, off-target accumulation...Keywords: Nanobodies, avidity, modeling, off-target accumulationPublished: 31.01.2017; Views: 3192; Downloads: 0 Fulltext (81,48 KB) 6.Nanobodies: towards rational design of immune-reagentsArio De Marco, 2017, published scientific conference contribution abstract (invited lecture)Abstract: 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.Found in: ključnih besedahKeywords: recombinant antibody modeling, nanobody engineering, molecular dynamics and dockingPublished: 21.03.2018; Views: 3202; Downloads: 0 Fulltext (638,20 KB) 7.Binding affinity prediction of nanobody–protein complexes by scoring of molecular dynamics trajectoriesMiguel Soler, Sara Fortuna, Ario de Marco, Alessandro Laio, 2018, original scientific articleFound in: ključnih besedahSummary of found: ...in silico modeling, nanobodies, binding affinity prediction...Keywords: in silico modeling, nanobodies, binding affinity predictionPublished: 15.01.2018; Views: 2746; Downloads: 0 Fulltext (2,45 MB) 8.Search for dark matter gamma-ray emission from the Andromeda Galaxy with the High-Altitude Water Cherenkov ObservatoryGabrijela Zaharijas, Christopher Eckner, 2018, original scientific articleFound in: ključnih besedahKeywords: dark matter experiments, semi-analytic modelingPublished: 24.08.2018; Views: 2540; Downloads: 0 Fulltext (21,60 MB) 9.Nanobodies isolated from pre-immune libraries as tunable biotechnological toolsArio de Marco, invited lecture at foreign universityFound in: ključnih besedahKeywords: nanobodies, panning, modelingPublished: 27.02.2020; Views: 1491; Downloads: 0 Fulltext (61,23 KB) 10.A study of stellar debris dynamics during a tidal disruption eventAurora Clerici, 2020, doctoral dissertationAbstract: The number of observed tidal disruption events is increasing rapidly with the advent of new surveys. Thus, it is becoming increasingly important to improve TDE models using different stellar and orbital parameters. We study the dynamical behaviour of tidal disruption events produced by a massive black hole like Sgr A* by changing different initial orbital parameters, taking into account the observed orbits of S stars. Investigating different types of orbits and penetration factors is important since their variations lead to different timescales of the tidal disruption event debris dynamics, making mechanisms such as self-crossing and pancaking act strongly or weakly, thus affecting the circularisation and accretion disk formation. We have performed smoothed particle hydrodynamics simulations. Each simulation consists in modelling the star with $10^5$ particles, and the density profile is described by a polytrope with $\gamma$ = 5/3. The massive black hole is modelled with a generalised post-Newtonian potential, which takes into account relativistic effects of the Schwarzschild space-time. Our analyses find that mass return rate distributions of solar-like stars and S-like stars with same eccentricity have similar durations, but S-like stars have higher mass return rate, as expected due to their larger mass. Regarding debris circularisation, we identify four types of evolution, related to the mechanisms and processes involved during circularisation: in type 1 the debris does not circularise efficiently, hence a disk is not formed or is formed after relatively long time; in type 2 the debris slowly circularises and eventually forms a disk with no debris falling back; in type 3 the debris relatively quickly circularises and forms a disk while there is still debris falling back; finally, in type 4 the debris quickly and efficiently circularises, mainly through self-crossings and shocks, and forms a disk with no debris falling back. Finally, we find that the standard relation of circularisation radius $r_{\rm circ} = 2r_{\rm t}$ holds only for $\beta = 1$ and eccentricities close to parabolic.Found in: ključnih besedahSummary of found: ...07.05.Tp Computer modeling and simulation, 95.30.Lz Hydrodynamics, 98.35.Jk Galactic center,...Keywords: 07.05.Tp Computer modeling and simulation, 95.30.Lz Hydrodynamics, 98.35.Jk Galactic center, bar, circumnuclear matter, and bulge, 98.62.Js Galactic nuclei (including black holes), circumnuclear matter, and bulges, 98.62.Mw Infall, accretion, and accretion disksPublished: 29.09.2020; Views: 1972; Downloads: 46 Fulltext (37,55 MB)
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