Alexander Miguel Monzon

Abstract Artificial intelligence (AI) has seen transformative breakthroughs in the life sciences, expanding possibilities to interpret biological information at an unprecedented capacity. To maximize return on growing investments and accelerate progress, it is urgent to address long-standing research challenges arising from the rapid adoption of AI methods.

Abstract Disordered proteins play essential roles in myriad cellular processes, yet their structural characterization remains a major challenge due to their dynamic and heterogeneous nature. Here we present a community-driven initiative to address this problem by advocating a unified framework for determining conformational ensembles of disordered proteins.

1 INTRODUCTION Intrinsically disordered proteins and regions (collectively referred to as IDPs) play vital roles in diverse biological and pathological processes across both prokaryotic and eukaryotic organisms. Unlike folded proteins, IDPs lack stable tertiary structures under physiological conditions, allowing them to participate in dynamic cellular functions such as signal transduction, genome maintenance, cell division, circadian rhythm regulation, and homeostasis (Cuylen et al.