N
Nina Verstraete
Researcher at French Institute of Health and Medical Research
Publications - 15
Citations - 238
Nina Verstraete is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: DNA methylation & RNA polymerase II holoenzyme. The author has an hindex of 6, co-authored 14 publications receiving 172 citations. Previous affiliations of Nina Verstraete include École Normale Supérieure & Facultad de Ciencias Exactas y Naturales.
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Journal ArticleDOI
Evolution of 7SK RNA and its Protein Partners in Metazoa
Manja Marz,Alexander Donath,Nina Verstraete,Van Trung Nguyen,Peter F. Stadler,Olivier Bensaude +5 more
TL;DR: An improved secondary structure model of 7SK RNA is derived, which shows that the structure is quite well-conserved across animal phyla despite the extreme divergence at sequence level.
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Structural and Energetic Characterization of the Ankyrin Repeat Protein Family.
TL;DR: A strong linear correlation between the conservation of the energetic features in the repeat arrays and their sequence variations is found, and new insights are discussed into the organization and function of these ubiquitous proteins.
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Amino Acid Metabolism Conflicts with Protein Diversity
Teresa Krick,Nina Verstraete,Leonardo G. Alonso,David A. Shub,Diego U. Ferreiro,Michael Shub,Ignacio E. Sánchez +6 more
TL;DR: In this article, a simple model for a cost-diversity trade-off is presented, where natural proteomes minimize amino acid metabolic flux while maximizing sequence entropy, and the model explains the relative abundances of amino acids across a diverse set of proteomes.
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CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19.
Nina Verstraete,Giuseppe Jurman,Giulia Bertagnolli,Arsham Ghavasieh,Vera Pancaldi,Vera Pancaldi,Manlio De Domenico +6 more
TL;DR: CovMulNet19 can be suitably used for network medicine analysis, as a valuable tool for exploring drug repurposing while accounting for the intervening multidimensional factors, from molecular interactions to symptoms.
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Multiscale statistical physics of the pan-viral interactome unravels the systemic nature of SARS-CoV-2 infections
Arsham Ghavasieh,Arsham Ghavasieh,Sebastiano Bontorin,Sebastiano Bontorin,Oriol Artime,Nina Verstraete,Manlio De Domenico +6 more
TL;DR: In this paper, the authors compare SARS-CoV-2 with other known viruses, such as Influenza A and Human Respiratory Syncytial viruses, and unexpected ones with different infection types and from distant viral families, like HIV1 and Human Herpes virus.