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D656D661 Nucleic Acids Research, 2008, Vol. 36, Database issue doi:10.1093/nar/gkm761Published online 2 October 2007DOMINE: a database of protein domain interactions Balaji Raghavachari1, Asba Tasneem2,
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01
Gather necessary data such as protein sequences and structures.
02
Choose a suitable prediction method based on the type of interaction being studied.
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Input the data into the prediction tool or algorithm.
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Analyze the results and interpret the predicted protein-protein interactions.
05
Validate the predictions experimentally if possible.

Who needs prediction of protein-protein interactions?

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Researchers studying protein networks and signaling pathways.
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Drug developers looking for potential targets for new therapies.
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Biologists investigating protein function and interaction mechanisms.
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Biotechnologists working on protein engineering and design.
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Prediction of protein-protein interactions refers to computational methods and biological techniques used to identify and predict the physical interactions between proteins within a biological system.
Researchers and institutions that are conducting studies involving protein interactions are generally required to file predictions of protein-protein interactions.
To fill out a prediction of protein-protein interactions, one needs to collect relevant data, use computational tools or software for prediction, and then submit the formatted results to the designated database or regulatory body.
The purpose of predicting protein-protein interactions is to advance our understanding of cellular processes, aid in drug discovery, and inform experimental designs in biological research.
Information that must be reported typically includes the proteins involved, the methods used for prediction, confidence scores, and any experimental validation results that may support the predictions.
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