A team of researchers led by the University of Tokyo Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI) Project Assistant Professor Elisa Ferreira has shown that a discrepancy in a key cosmic measurement in the early universe originates from a subtle statistical interplay between measurements of the cosmic microwave background (CMB) and baryon acoustic oscillations (BAO).

A new Maths study from the University of Bath in the UK finds that adopting a neutral stance – such as abstaining in a vote – can speed up and stabilise group decision-making. By reducing the pool of active decision-makers, neutrality helps new consensus positions emerge faster.

A multinational research team led by researchers at Institute of Science Tokyo, RIKEN, and the University of Toronto has revealed how a tryptophan-rich allosteric communication network regulates receptor dynamics and activation of the human adenosine A_2A receptor (A_2AR), a major G protein-coupled receptor (GPCR) drug target. By integrating experimental functional assays and residue-specific NMR with molecular simulations and fast allostery-prediction algorithms based on rigidity theory, the team mapped long-range allosteric communication pathways linking the ligand-binding pocket to the intracellular G protein–coupling machinery and identified a central role for tryptophan residues along these pathways. The study also clarifies the functional role of the receptor’s conserved sodium-binding pocket, showing that sodium egress strongly promotes activation-related conformational states, including a precoupled state that likely prepares the receptor for productive G protein interaction. These findings deepen our understanding of GPCR activation and allostery, and may support future development of allosteric GPCR drugs.

Beyond the specific mechanism, this work addresses a major bottleneck for AI in structural biology: recent advances such as AlphaFold have transformed prediction of static protein structures, but AI still cannot reliably predict the dynamics and allosteric communication that determine function, signaling, and drug response. To help close this gap, the researchers developed and applied fast computational methods for probing allosteric and dynamic regulation in protein structures and anchored these predictions with experimental NMR validation. The resulting experimentally validated, computationally generated data on allostery and dynamics—and a scalable approach to extend these datasets across diverse receptors and conditions—provide scarce, high-value training and benchmarking data for next-generation AI models aimed at predicting protein function beyond static structure, accelerating future AI-driven prediction of protein function and the design of selective GPCR therapeutics.

Topology, the branch of mathematics that says donuts and mugs are identical because they each have one opening, can protect light-based signals in chips. Now, engineers at Penn and the City University of New York have demonstrated that such systems can carry multiple signals, opening the door to scaling such networks for the first time.