Viral infectious diseases pose significant challenges due to the rapid evolution of viruses through mutations. This was particularly evident during the COVID-19 pandemic, when emerging variants of ...

A new paper in Genome Biology and Evolution, published by Oxford University Press, indicates that while the COVID-19 virus has developed rapidly since 2019, it has done so within limited genetic ...

CoVFit can predict the epidemic potential—i.e., the fitness—of SARS-CoV-2 variants based solely on their spike protein sequences. Viral infectious diseases pose significant challenges due to the rapid ...

Evolutionary algorithms constitute a class of population-based metaheuristic methods inspired by the mechanisms of natural selection, genetic variation and survival of the fittest. By iteratively ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

Researchers at the Francis Crick Institute have demonstrated that a genetic method called "pooled prime editing" can screen hundreds of variants in a gene at once and identify which variants affect ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...