Anna Nagy-Staron, Kathrin Tomasek ... Calin C Guet
The phenotype of a gene regulatory network depends both qualitatively and quantitatively on the local genetic context of its individual components and cannot necessarily be predicted solely from network's topology.
Mireia Seuma, Andre J Faure ... Benedetta Bolognesi
A massively parallel analysis of the effects of mutations on amyloid beta nucleation provide the first comprehensive atlas of how mutations alter the formation of amyloid fibrils.
The sleep–wake state sequence explains almost all of the variance in brain temperature in the mouse, and its detailed dynamics can be accurately predicted only using sleep–wake information.
Mathematical modelling suggests that the evolution of communication between bacterial viruses requires repeated outbreak events, and the model then predicts typical communication strategies.
A statistical model systematically associates functions of intrinsically disordered regions with sequence-distributed molecular features such as charge, residue composition, or repeat content.
Kenichi Shimada, John A Bachman ... Timothy J Mitchison
shinyDepMap helps users explore the essentiality, selectivity, and function of the genes across hundreds of cancer cell lines and identify cancer drug targets.
Alexandra Kühnlein, Simon A Lanzmich, Dieter Braun
Rudimentary cross-catalytic replication can be established by double-hairpins of tRNA-like sequences, implying that replication and translation could have emerged along a common evolutionary trajectory.
Mutations that affect a metabolic network generically exhibit epistasis, which propagates to higher level phenotypes, such as fitness, carrying some information about the network’s topology.
Amit Frishberg, Inge van den Munckhof ... Irit Gat-Viks
A novel type of metabolic syndrome, derived from computational modeling of phenotypic diversity in normal physiological settings, increases the risk of certain complex diseases.
