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- Lensink, Marc F., et al.
(författare)
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Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment
- 2023
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Ingår i: Proteins. - : WILEY. - 0887-3585 .- 1097-0134.
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Tidskriftsartikel (refereegranskat)abstract
- We present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody-antigen complexes, and 7 large assemblies. On average similar to 70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups and by 15 CAPRI scorer groups were evaluated using the CAPRI model quality measures and the DockQ score consolidating these measures. The prediction performance was quantified by a weighted score based on the number of models of acceptable quality or higher submitted by each group among their five best models. Results show substantial progress achieved across a significant fraction of the 60+ participating groups. High-quality models were produced for about 40% of the targets compared to 8% two years earlier. This remarkable improvement is due to the wide use of the AlphaFold2 and AlphaFold2-Multimer software and the confidence metrics they provide. Notably, expanded sampling of candidate solutions by manipulating these deep learning inference engines, enriching multiple sequence alignments, or integration of advanced modeling tools, enabled top performing groups to exceed the performance of a standard AlphaFold2-Multimer version used as a yard stick. This notwithstanding, performance remained poor for complexes with antibodies and nanobodies, where evolutionary relationships between the binding partners are lacking, and for complexes featuring conformational flexibility, clearly indicating that the prediction of protein complexes remains a challenging problem.
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| 2. |
- Shi, Xue, et al.
(författare)
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A strong, biodegradable, and recyclable all-lignocellulose fabricated triboelectric nanogenerator for self-powered disposable medical monitoring
- 2023
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Ingår i: Journal of Materials Chemistry A. - 2050-7488 .- 2050-7496. ; 11:22, s. 11730-11739
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Tidskriftsartikel (refereegranskat)abstract
- The growing demand for fast, reliable, and accessible information in the vastly connected world makes disposable sensors increasingly important. However, reducing their costs, environmental impact, and usability remains challenging. Here, we report a low-cost, biodegradable, and recyclable all-lignocellulosic triboelectric nanogenerator (AL-TENG) for self-powered disposable medical monitoring. Based on a facile in situ lignin regeneration & chemical crosslinking modification strategy, a high-performance lignocellulosic bioplastic is synthesized from resource-abundant and renewable biomass for fabricating the AL-TENG. The whole device has a low environmental impact as it can be easily recycled and biodegraded at its end-of-life. Furthermore, a self-powered smart ward system and a self-powered contactless medical monitoring system are developed to improve the convenience for patients and reduce the risk of mutual infection. This work can expand the application of self-powered systems to disposable medical sensing, which may greatly promote the development of intelligent wards and disposable electronics.
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