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In contrast, while randomized controlled studies are too small in size to statistically verify efficacy, they can provide feasibility information (outcome predictions, protocol adherence and sample size determination), which is useful in the design of full randomized controlled trials.
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It could also be useful and provide insights for comparative modeling and PTM predictions protocols.
PTM-SD gives valuable information on observed PTMs in protein 3D structure, which is of great interest for studying sequence structure– function relationships at the light of PTMs, and could provide insights for comparative modeling and PTM predictions protocols.
To increase the stringency of the target prediction protocol, we searched for mRNAs simultaneously predicted by five or more different target-prediction programs.
Figure 5 shows the MemBrain-Rasa prediction protocol [8].
The realised target prediction protocol is available at https://github.com/lhm30/PIDGIN.
Open image in new window Fig. 5 The flowchart of MemBrain-Rasa prediction protocol.
The realised target prediction protocol has been packaged and available for download at https://github.com/lhm30/PIDGIN.
Once again, we assess the trained models using the simulated target-prediction protocol described in the previous section.
Our structure prediction protocol RAGTOP (RNA-As-Graphs Topology Prediction) represents RNA structures as tree graphs and samples graph topologies to produce candidate graphs.
To identify novel phosphopeptide substrates of PTP1B, we developed a computational prediction protocol based on a virtual library of protein sequences with known phosphotyrosine sites.
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