Gábor E. Tusnády
Hungarian Academy of Sciences
166 Papers
1K Citations
Gábor E. Tusnády is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Transmembrane protein & Membrane protein. The author has an hindex of 34, co-authored 159 publications.
Chat about Author
Papers
The HMMTOP transmembrane topology prediction server
Gábor E. Tusnády,István Simon +1 more
TL;DR: The user is allowed to submit additional information about segment localization to enhance the prediction power, which improves the prediction accuracy as well as helps the interpretation of experimental results, i.e. in epitope insertion experiments.
An Approximation of Partial Sums of Independent RV's, and the Sample DF. II
TL;DR: In this article, the authors introduced a new construction for the pair S¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯ n�, T¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯ n>>\s, and proved that if X>>\s has a finite moment generating function, and satisfies condition i) or ii) of Theorem 1, then ¦S>>\s n� -T� n� nၡ 1/4(log n) 1/1(log log n)1/4) with probability one.
1.3K
The degree sequence of a scale-free random graph process
TL;DR: Here the authors obtain P(d) asymptotically for all d≤n1/15, where n is the number of vertices, proving as a consequence that γ=3.9±0.1 is obtained.
PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.
Jennifer L. Gardy,Cory Spencer,Ke Wang,Martin Ester,Gábor E. Tusnády,István Simon,Sujun Hua,Katalin deFays,Christophe Lambert,Kenta Nakai,Fiona S. L. Brinkman +10 more
TL;DR: PSORT-B, an updated version of PSORT for Gram-negative bacteria, is presented, designed to favor high precision over high recall (sensitivity), and attained an overall precision of 97% and recall of 75% in 5-fold cross-validation tests, using a dataset the authors developed of 1443 proteins of experimentally known localization.
CCTOP: a Consensus Constrained TOPology prediction web server
TL;DR: The Consensus Constrained TOPology prediction (CCTOP; http://cctop.hu) server is a web-based application providing transmembrane topology prediction that showed superior performance to existing approaches.