A
Albert-László Barabási
Researcher at Northeastern University
Publications - 463
Citations - 217721
Albert-László Barabási is an academic researcher from Northeastern University. The author has contributed to research in topics: Complex network & Network science. The author has an hindex of 152, co-authored 438 publications receiving 200119 citations. Previous affiliations of Albert-László Barabási include Budapest University of Technology and Economics & Lawrence Livermore National Laboratory.
Papers
More filters
Journal ArticleDOI
Reverse engineering of linking preferences from network restructuring
TL;DR: The empirical energies obtained from the restructuring can be described by a universal function f (k) approximately -k ln k , which is consistent with and justifies the validity of the preferential attachment rule proposed for growing networks.
Journal ArticleDOI
Predicting synthetic rescues in metabolic networks
Adilson E. Motter,Natali Gulbahce,Natali Gulbahce,Natali Gulbahce,Eivind Almaas,Albert-László Barabási,Albert-László Barabási +6 more
TL;DR: In this article, a network-based strategy was proposed to restore biological function by forcing the cell to either bypass the functions affected by the defective gene, or to compensate for the lost function.
Posted ContentDOI
Multidose evaluation of 6,710 drug repurposing library identifies potent SARS-CoV-2 infection inhibitors In Vitro and In Vivo.
J. J. Patten,Patrick T Keiser,Deisy Morselli Gysi,Deisy Morselli Gysi,Giulia Menichetti,Giulia Menichetti,Hiroyuki Mori,Callie J Donahue,Xiao Gan,Xiao Gan,Italo Faria do Valle,Kathleen Geoghegan-Barek,Manu Anantpadma,Jacob Berrigan,Sallieu Chernoh Jalloh,Kirabo Tess Ayazika,Florence F. Wagner,Marinka Zitnik,Seyoum Ayehunie,Deborah J. Anderson,Joseph Loscalzo,Suryaram Gummuluru,Mark N. Namchuk,Albert-László Barabási,Albert-László Barabási,Albert-László Barabási,Robert A. Davey +26 more
TL;DR: In this article, a well curated and annotated library of 6710 clinical and preclinical molecules, covering diverse chemical scaffolds and known host targets was evaluated for inhibition of SARS-CoV-2 infection in multiple infection models.
Journal ArticleDOI
You're so predictable
TL;DR: When it comes to the actions of our fellow humans, the sequence of events we witness on a daily basis appears to be just as mysterious and confusing as the motion of the stars seemed in the 15th century as discussed by the authors.
Posted Content
New generation of mobile phone viruses and corresponding countermeasures
TL;DR: It is found that hybrid MMS viruses including some level of scanning are more dangerous to the mobile community than their standard topological counterparts.