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- ETH ZurichCH3 papers
- InsermFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut National de la Transfusion SanguineFR2 papers
- Italian institute for Genomic MedicineIT2 papers
- King Abdullah University of Science and TechnologySA2 papers
- Laboratory of Excellence GR-ExFR2 papers
- Lebanese American UniversityLB2 papers
- National Institutes of HealthUS2 papers
- Politecnico di TorinoIT2 papers
- The University of OsakaJP2 papers
- University of California, San FranciscoUS2 papers
8 papers · 1 filter
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children
Mengman Wei, Qian Peng
Motivation: Externalizing behaviors in children, such as aggression, hyperactivity, and defiance, are influenced by complex interplays between genetic predispositions and environme…
Absolute ethanol intake drives ethanol preference in Drosophila
Scarlet J. Park, William W. Ja
Factors that mediate ethanol preference in Drosophila melanogaster are not well understood. A major confound has been the use of diverse methods to estimate ethanol consumption. We…
Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models
Ngan Nguyen, Ondrej Strnad, Tobias Klein +8
We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and…
Investigation of the impact of PTMs on the protein backbone conformation
Pierrick Craveur, Tarun Narwani, Joseph Rebehmed +1
Post-Translational Modifications (PTMs) are known to play a critical role in the regulation of the protein functions. Their impact on protein structures, and their link to disorder…
In silico prediction of protein flexibility with local structure approach
Tarun Narwani, Catherine Etchebest, Pierrick Craveur +6
Flexibility is an intrinsic essential feature of protein structures, directly linked to their functions. To this day, most of the prediction methods use the crystallographic data (…
Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani, Mohammed Asif Khan, Omar Maddouri +3
Motivation: Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries…