The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and
accurate protein structure prediction, powered by deep learning and Rosetta. With the input of a …

Butterfly eyespots represent novel complex traits that display substantial diversity in number
and size within and across species. Correlative gene expression studies have implicated a …

RNA 3D structure prediction is a long-standing challenge. Inspired by the recent breakthrough
in protein structure prediction, we developed trRosettaRNA, an automated deep learning-…

Significant progress has been made in protein structure prediction in recent years. However,
it remains challenging for AlphaFold2 and other deep learning-based methods to predict …

To distinguish the real pre-miRNAs from other hairpin sequences with similar stem-loops (pseudo
pre-miRNAs), a hybrid feature which consists of local contiguous structure-sequence …

The accuracy of de novo protein structure prediction has been improved considerably in recent
years, mostly due to the introduction of deep learning techniques. In this work, trRosettaX…

Purely-organic clusterization‐triggered emission (CTE) has displayed promising abilities in
bioimaging, chemical sensing, and multicolor luminescence. However, it remains absent in …

Collaborative sensing in cognitive radio networks can significantly improve the probability of
detecting the transmission of primary users. In current collaborative sensing schemes, all …

This study proposes a higher-order multidimensional construct of service innovation
readiness (SIR) based on the organizational change literature and the awareness–motivation–…

Background Radiotherapy to cancer patients is inevitably accompanied by normal tissue
injury, and the bone is one of the most commonly damaged tissues. Damage to bone marrow …