Browse our latest Computational and Systems Biology articles

Osteogenic growth peptide displays agonistic activity at CB2.

Global proteomic and acetylomic analyses reveal how skeletal muscle adapts to high-intensity interval training including adaptations to processes regulating metabolism and contraction.

Advanced machine learning based brain signal decoding of grip-force as a proxy for movement vigor shows Parkinson's disease related performance reduction, suggestive of a loss of cortical vigor encoding in the absence of dopamine.

Coordinated regulation of co-complex members compensates for aneuploidy-induced stoichiometric imbalances in human cancer.

The LOTUS initiative builds, through the Wikidata knowledge graph, a virtuous cycle of data sharing practices for natural products research.

aLENS implements new parallel methods to resolve cytoskeletal assembly dynamics with high stability, physical consistency, and scalability.

A newly developed computational framework provides an overview of the extent, diversity, and relevance of the genes of unknown function in genomes and metagenomes.

The generalizability of CODOP in distinct world regions and its flexibility to reckon with the changing availability of hospital resources makes it a clinically useful tool potentially improving the outcome prediction and the management of COVID-19 hospitalized patients.

Orthologous proteins display different mutational robustness that can be leveraged to improve prediction of functional sequences.

Using a neural network to predict how green fluorescent proteins respond to genetic mutations illuminates properties that could help design new proteins.