Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

Trans-activator of transcription (Tat), a key regulatory protein of HIV-1, binds the TAR RNA element and is essential for early viral pathogenesis. Remarkably, Tat from HIV-1 groups M, N, O, and P ...

Viewing protein evolution through the lens of complex systems theory may offer new insights into the principles driving biological adaptation. In this Comment we explore how characteristics such as ...

A team led by Prof Frank Glorius from the Institute of Organic Chemistry at the University of Münster has developed an evolutionary algorithm that identifies the structures in a molecule that are ...

Evolutionary psychology is known for dark parts of our nature, like homicide. But it also explains prosocial behaviors, like ...

Scientists have helped to construct a detailed timeline for bacterial evolution, suggesting some bacteria used oxygen long before evolving the ability to produce it through photosynthesis. University ...

Systems-level thinking has transformed how we study life across scales, from molecules and cells to populations, communities ...

A new study by researchers at the Max Planck Institute for Evolutionary Biology (MPI-EB) sheds fresh light on one of the most debated concepts in biology: evolvability. The work provides the first ...

Schematic representation of fitness landscapes. (A) Orange lines show maximum (dashed) and average (dotted) fitness of a population on a narrower peak (yellow circles), blue lines show the same for a ...