In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

Exosome microRNA is closely related to the pathological processes of multiple sclerosis.Recent studies have shown that exosome microRNA is not only involved in the pathogenesis of multiple sclerosis,but also plays an important role in the early diagnosis,the identification of relapses,the prediction of subtypes and the treatment of multiple sclerosis.Therefore,exosome microRNA is expected to be a new diagnostic biomarker as well as treatment target for multiple sclerosis.In this article,the advances of exosome microRNA in multiple sclerosis are reviewed.

CMTM family is silenced and down-regulated in several kinds of tumors.Its aberrant expression has a strong association with the development,progression and metastasis of tumors.Thus,CMTM family is potential tumor suppressor genes.Epigenetics mechanism is the essential mechanism of the aberrant expression in this gene family.The discovery of this research gives a new direction to the clinical treatment of tumor.