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Metaxia Vlassi

dblp:15/2086 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-0931-2660ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 56% Computational science and engineering · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › computational chemistry › molecular simulation
molecular dynamics
0.312018
Insights on the alteration of functionality of a tyrosine kinase 2 variant: a molecular dynamics study · Bioinform. 2018
Bioinformatics and computational biology › structural biology › protein structure and function
protein structure and dynamics
0.312018
Insights on the alteration of functionality of a tyrosine kinase 2 variant: a molecular dynamics study · Bioinform. 2018
Bioinformatics and computational biology › statistical genetics › variant effect prediction
SNP effect prediction
0.112018
Insights on the alteration of functionality of a tyrosine kinase 2 variant: a molecular dynamics study · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

molecular dynamics simulation · 0.3
YearPublicationVenuePosition
2019 Establishment of computational biology in Greece and Cyprus: Past, present, and future
abstract
We review the establishment of computational biology in Greece and Cyprus from its inception to date and issue recommendations for future development.We compare output to other countries of similar geography, economy, and size-based on publication counts recorded in the literature-and predict future growth based on those counts as well as national priority areas.Our analysis may be pertinent to wider national or regional communities with challenges and opportunities emerging from the rapid expansion of the field and related industries.Our recommendations suggest a 2-fold growth margin for the 2 countries, as a realistic expectation for further expansion of the field and the development of a credible roadmap of national priorities, both in terms of research and infrastructure funding.
Anastasia Chasapi, Michalis Aivaliotis, Lefteris Angelis, Anastasios Chanalaris, Ilias Kappas, Christos Karapiperis, Nikos Kyrpides, Evangelos Pafilis, Eleftherios Panteris, Pantelis Topalis, George Tsiamis, Ioannis S. Vizirianakis, Metaxia Vlassi, Vasilis J. Promponas, Christos A. Ouzounis
PLoS Comput. Biol.14
2018 Insights on the alteration of functionality of a tyrosine kinase 2 variant: a molecular dynamics study
abstract
Motivation: The tyrosine kinase 2 protein (Tyk2), encoded by the TYK2 gene, has a crucial role in signal transduction and the pathogenesis of many diseases. A single nucleotide polymorphism of the TYK2 gene, SNP rs34536443, is of major importance, since it has been shown to confer protection against various, mainly, autoimmune diseases. This polymorphism results in a Pro to Ala change at amino acid position 1104 of the encoded Tyk2 protein that affects its enzymatic activity. However, the details of the underlined mechanism are unknown. To address this issue, in this study, we used molecular dynamics simulations on the kinase domains of both wild type and variant Tyk2 protein. Results: Our MD results provided information, at atomic level, on the consequences of the Pro1104 to Ala substitution on the structure and dynamics of the kinase domain of Tyk2 and suggested reduced enzymatic activity of the resulting protein variant due to stabilization of inactive conformations, thus adding to knowledge towards the elucidation of the protection mechanism against autoimmune diseases associated with this point mutation.
Nastazia Lesgidou, Elias Eliopoulos, George N. Goulielmos, Metaxia Vlassi
Bioinform.4