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New AI method revolutionizes the design of enzymes

Researchers have developed a new AI method called Riff-Diff to construct artificial biocatalysts, resulting in enzymes that are significantly faster, more stable and versatile. The technology allows for precise design of protein structures around active centres, making enzyme design more accessible to the wider biotechnology community.

SourceGraz University of Technology·JournalNature·TypeComputational simulation/modeling·DateJan 22, 2026

Protein foundation models reshaping the research paradigm of life sciences

Protein Foundation Models (pFMs) leverage vast amounts of sequence and structural data to predict protein structures and functions, enabling novel protein design and analysis. The models have evolved into several mature technical approaches, demonstrating versatility in basic biological research, protein discovery, and biomedical appli...

SourceScience China Press·JournalScience China Life Sciences·TypeSystematic review·DateJan 21, 2026

Healthy aging 2026: fresh pork in plant-forward diets supported strength and brain-health biomarkers in older adults

An 18-week study found that maintaining grip strength and chair-rise performance alongside weight loss was possible without a prescribed strength-training program, alongside improvements in biomarkers linked to metabolic and cognitive aging. A plant-forward diet featuring fresh lean pork supported healthy-aging markers in older adults.

SourceNational Pork Board·JournalCurrent Developments in Nutrition·TypeRandomized controlled/clinical trial·DateJan 15, 2026

Largest study of its kind highlights benefits – and risks – of plant-based diets in children

A large meta-analysis of over 48,000 children found that well-planned plant-based diets can support healthy growth and even offer additional health benefits for children. However, the study also highlights risks of deficiencies in key nutrients such as vitamin B12 and zinc if not obtained through fortified foods or supplements.

SourceTaylor & Francis Group·JournalCritical Reviews in Food Science and Nutrition·TypeMeta-analysis·DateDec 12, 2025

Graz University of Technology researchers open up new avenues of understanding proteins

Researchers at Graz University of Technology have developed a new approach to understand protein function and stability, identifying amino acids crucial for both with high accuracy. The FSA method combines machine-learning-generated sequences with natural sequences, revealing functional and structural significance of amino acids.

SourceGraz University of Technology·JournalStructure·TypeComputational simulation/modeling·DateOct 30, 2025

NIH grant allows for development of next-generation computational tools to study fat metabolism and disease

Dr. Yu-Ming Mindy Huang's research aims to overcome limitations in current methods by building a higher-accuracy computer microscope to investigate membrane-bound protein diffusion and interactions. The study has two complementary directions: modeling viral proteins and understanding lipid storage on lipid droplets.

Protein condensates determine a cell’s fate

Researchers at ETH Zurich discovered how protein condensates contribute to cellular information exchange. The study found that P-body and Whi3 condensates work together to stop cell division when a cell becomes old, as well as control the cell's decision to abandon mating attempts in old age.

SourceETH Zurich·JournalMolecular Cell·DateOct 10, 2025

Order from disordered proteins

A team of researchers developed a computational method that can design intrinsically disordered proteins with desired properties. The work uses automatic differentiation to optimize protein sequences and leverages molecular dynamics simulations for precision. This breakthrough has the potential to reveal new insights into diseases like...

SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalNature Computational Science·TypeComputational simulation/modeling·DateOct 6, 2025

Rice scientists develop ‘molecular magnifying glass’ to help identify diseases earlier

Researchers at Rice University have developed a 'molecular magnifying glass' that allows them to visualize subtle environmental changes in proteins, which can indicate the earliest stages of diseases such as Alzheimer's, Parkinson's and cancer. This tool provides real-time monitoring of protein microenvironment changes in living cells.

SourceRice University·JournalNature Chemical Biology·DateSep 12, 2025