Disordered flexible linkers(DFLs)are the functional disordered regions in proteins,which are the sub-regions of intrinsically disordered regions(IDRs)and play important roles in connecting domains and maintaining inte...
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Disordered flexible linkers(DFLs)are the functional disordered regions in proteins,which are the sub-regions of intrinsically disordered regions(IDRs)and play important roles in connecting domains and maintaining inter-domain *** with the limited available DFLs,the existing DFL predictors based on the machine learning techniques tend to predict the ordered residues as DFLs,leading to a high false positive rate(FPR)and low prediction *** studies have shown that DFLs are extremely flexible disordered regions,which are usually predicted as disordered residues with high confidence[P(D)>0.9]by an IDR ***,transferring an IDR predictor to an accurate DFL predictor is of great significance for understanding the functions of *** this study,we proposed a new predictor called TransDFL for identifying DFLs by transferring the RFPR-IDP predictor for IDR identification to the DFL *** RFPR-IDP was pre-trained with IDR sequences to learn the general features between IDRs and DFLs,which is helpful to reduce the false positives in the ordered ***-IDP was fine-tuned with the DFL sequences to capture the specific features of DFLs so as to be transferred into the *** results of two application scenarios(prediction of DFLs only in IDRs or prediction of DFLs in entire proteins)showed that TransDFL consistently outperformed other existing DFL predictors with higher accuracy.
Real-time online interactive application (ROIA) is an emerging distributed application in recent years. Scalability is a hot and key issue in ROIA. We are motivated by the facts that the number of concurrent users aro...
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Real-time online interactive application (ROIA) is an emerging distributed application in recent years. Scalability is a hot and key issue in ROIA. We are motivated by the facts that the number of concurrent users around the world is widely and periodically fluctuant and requirements for network latency in various ROIA are different. So we propose the Multi-ROIA Cloud Platform (MRCP), a new approach to achieve high scalability in ROIA under Cloud environment. In this paper, we firstly make a classification of the traditional approach to scalability in ROIA and compare their merits and disadvantages. And then we propose MRCP, explain the motivation and describe the architecture and balance strategy of MRCP.
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