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Marco Moscatelli

Researcher at National Research Council

Publications -  45
Citations -  768

Marco Moscatelli is an academic researcher from National Research Council. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 9, co-authored 24 publications receiving 524 citations. Previous affiliations of Marco Moscatelli include University of Milano-Bicocca & University of Milan.

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Journal ArticleDOI

Durum wheat genome highlights past domestication signatures and future improvement targets

Marco Maccaferri, +68 more
- 08 Apr 2019 - 
TL;DR: The assembly of the genome of durum wheat cultivar Svevo enables genome-wide genetic diversity analyses highlighting modifications imposed by thousands of years of empirical selection and breeding.
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An infrastructure for precision medicine through analysis of big data

TL;DR: An infrastructure devised to deal with the integration of large volumes of heterogeneous biological data collected in one of the major diagnostic analysis laboratories in Italy and designed to allow the extraction and aggregation of both unstructured and semi-structured data.
Posted ContentDOI

Sensitivity analysis of PBL schemes by comparing WRF model and experimental data

TL;DR: In this article, the authors discussed the sources of model biases in reconstructing the planetary boundary layer (PBL) height among five commonly used PBL parameterizations, including the Weather Research and Forecasting (WRF) Model, which was applied over the critical area of Northern Italy with 5 km of horizontal resolution, and compared against a wide set of experimental data for February 2008.
Journal ArticleDOI

Homology modeling, docking studies and molecular dynamic simulations using graphical processing unit architecture to probe the type-11 phosphodiesterase catalytic site: a computational approach for the rational design of selective inhibitors.

TL;DR: A computational approach based on homology modeling, docking, and molecular dynamics simulation to derive a predictive 3D model of PDE11 is described, to suggest guideline for the identification and synthesis of potent and selective inhibitors.